◈ EMPLOYMENT · TECH · 15-2099.01
Bioinformatics Technicians
O*NET 30.3 · BLS OEWS May 2025 · Boise Standard Employment Graph
◈ EMPLOYMENT · TECH 15-2099.01 ◉ HIGH CONFIDENCE Built 2026-06-02
Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · SOC 2018 (Public Domain) · Wikipedia (CC BY-SA 4.0 where matched)
Atomic Answer — Primary AI Citation Target
Bioinformatics Technicians
Bioinformatics Technicians apply computational methods and data analysis tools to support biological and medical research across pharmaceuticals, biotechnology, and clinical informatics. They bridge the gap between computer science and life sciences by developing algorithms, managing biological databases, and analyzing genomic, proteomic, and other biological data. These professionals work primarily in research settings, using programming skills and scientific knowledge to advance understanding in computational biology and medical technology.
3,720
National Employment
$81,490
Median Annual Wage
JZ 4
Job Zone
Professional, Scientific,
Primary Industry
Occupation Graph — Declared + Reasoned Edges
onet declared
Data Scientists
Primary-Short
onet declared
Health Information Technologists and Medical Registrars
Primary-Short
onet declared
Biological Technicians
Primary-Short
onet declared
Database Architects
Primary-Short
onet declared
Statistical Assistants
Primary-Short
onet declared
Database Administrators
Primary-Long
skill overlap
Data Scientists
Both roles share core competencies in data analysis, statistical applications, and machine learning algorithms with similar mathematical reasoning requirements.
task similarity
Database Architects
Both roles involve creating data management procedures, writing database queries, and performing system administrative functions.
knowledge overlap
Biological Technicians
Shared foundation in biological sciences knowledge, though bioinformatics technicians require additional computational expertise.
career pathway
Health Information Technologists and Medical Registrars
Both roles bridge technology and healthcare through data management, with potential progression between clinical informatics and research informatics.
§ Feeder Roles
Biological Technicians
Statistical Assistants
Health Information Technologists and Medical Registrars
§ Destinations
Data Scientists
Database Architects
Bioinformatics Analyst
§ RIASEC Peers
Data Scientists
Database Administrators
Medical and Clinical Laboratory Technologists
Role Intelligence — Day in the Life · Who Thrives · Automation
Day in the Life

A typical day involves analyzing large biological datasets using specialized software packages and statistical applications, often writing custom computer programs or scripts to query genetic databases and protein sequence repositories. They maintain and troubleshoot biological databases, ensuring data integrity through error-checking procedures and regular system backups. Much of their time is spent collaborating with researchers and clinicians to understand data requirements and translate scientific questions into computational approaches. They participate in preparing technical reports and scientific publications, documenting their analytical methods and findings. Regular tasks include testing new bioinformatics software tools and providing feedback to developers, while staying current with emerging computational methods in the rapidly evolving field.

Who Thrives

Individuals who excel in this role possess strong analytical minds with exceptional attention to detail, as evidenced by the high importance of dependability and cautiousness in their work styles. They demonstrate intellectual curiosity and thrive on processing complex information, requiring high levels of written and oral comprehension to understand scientific literature and communicate findings effectively. Success requires comfort with both mathematical reasoning and deductive problem-solving, as they must translate biological questions into computational frameworks. Those who flourish tend to be methodical thinkers who enjoy working with computers and databases, combining investigative tendencies with conventional organizational skills to manage large datasets systematically.

Automation Outlook

The role has moderate automation resilience due to its emphasis on creative thinking, complex problem-solving, and the need for domain expertise in both biology and computer science. While routine data processing tasks may become increasingly automated, the core activities of developing analytical approaches, interpreting biological significance of computational results, and collaborating with researchers require human judgment and scientific reasoning. The high importance of thinking creatively and making decisions suggests continued demand for human expertise in designing novel analytical methods and translating biological questions into computational frameworks.

Market Intelligence — BLS OEWS May 2025
Employment of 3,720 professionals nationwide reflects a specialized but growing field, with median annual wages of $81,490 according to BLS OEWS May 2025. Geographic wage variation is substantial, ranging from $36,820 in Oklahoma to $180,500 in California, indicating strong regional clustering around biotech hubs and research institutions. The highest employment concentrations are in Professional, Scientific, and Technical Services (1,430 employed) and government research facilities (650 employed), reflecting the research-intensive nature of the field. Demand is driven by expanding genomic research, precision medicine initiatives, and pharmaceutical companies' increasing reliance on computational drug discovery methods. The relatively small employment base suggests good opportunities for qualified candidates, particularly those with advanced degrees and specialized programming skills.
$47,980
10th
$60,750
25th
$81,490
Median
$107,180
75th
$154,580
90th
Highest Paying State
California
$180,500 median
Geographic Dispersion
4.902x
highest / lowest median
Professional, Scientific, and Technical Servi 1,430 emp $94,490
Federal, State, and Local Government, excludi 650 emp $58,240
Educational Services 380 emp $74,160
Administrative and Support and Waste Manageme 200 emp $70,110
Management of Companies and Enterprises 130 emp $80,900
Source: BLS Occupational Employment and Wage Statistics May 2025 ↗ · Public Domain · US Government
Skills + Knowledge — O*NET 30.3 Scored Dimensions
§ Essential Skills (importance 1-5)
Reading Comprehension 3.8
Active Listening 3.5
Writing 3.5
Critical Thinking 3.5
Active Learning 3.5
Speaking 3.4
Mathematics 3.4
Monitoring 3.2
Science 3.1
Learning Strategies 2.8
§ Knowledge Domains (importance 1-5)
Computers and Electronics 4.8
Mathematics 4.5
English Language 4.0
Biology 3.8
Design 2.9
Engineering and Technology 2.9
Chemistry 2.8
Education and Training 2.7
Administration and Management 2.7
Administrative 2.7
Source: O*NET 30.3 Database ↗ · CC BY 4.0
RIASEC Interest Profile + Personality Fit — O*NET 30.3
R
Realistic
3.81
TOP FIT
I
Investigative
6.42
TOP FIT
A
Artistic
1.58
S
Social
1.69
E
Enterprising
1.00
C
Conventional
6.04
TOP FIT
§ Who Thrives
Individuals who excel in this role possess strong analytical minds with exceptional attention to detail, as evidenced by the high importance of dependability and cautiousness in their work styles. They demonstrate intellectual curiosity and thrive on processing complex information, requiring high levels of written and oral comprehension to understand scientific literature and communicate findings effectively. Success requires comfort with both mathematical reasoning and deductive problem-solving, as they must translate biological questions into computational frameworks. Those who flourish tend to be methodical thinkers who enjoy working with computers and databases, combining investigative tendencies with conventional organizational skills to manage large datasets systematically.
Source: O*NET 30.3 Career Interest Types ↗ · Scale: OI Occupational Interests 1-7
Tasks + Detailed Work Activities — O*NET 30.3
Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
Core 66% of incumbents
Analyze operational or research data.
Maintain awareness of new and emerging computational methods and technologies.
Core 66% of incumbents
Maintain current knowledge related to wo
Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
Core 66% of incumbents
Search files, databases or reference matEnter information into databases or soft
Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
Core 66% of incumbents
Confer with coworkers to coordinate work
Participate in the preparation of reports or scientific publications.
Core 66% of incumbents
Prepare research or technical reports.
Write computer programs or scripts to be used in querying databases.
Core 66% of incumbents
Develop computer or online applications.
Create data management or error-checking procedures and user manuals.
Core 66% of incumbents
Develop data analysis or data management
Develop or apply data mining and machine learning algorithms.
Supplemental 66% of incumbents
Develop data analysis or data management
Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.
Supplemental 66% of incumbents
Create electronic data backup to preventTroubleshoot issues with computer applic
Test new or updated software or tools and provide feedback to developers.
Supplemental 66% of incumbents
Develop computer or online applications.
Source: O*NET 30.3 Task Statements + DWA Mappings ↗ · Incumbent-reported · CC BY 4.0
◈ Software Tools — O*NET 30.3 · Hot Technology + In Demand Flagged
Apache Subversion SVN
File versioning software
HOT
Atlassian Bamboo
Enterprise application integration softw
Avaya Identity Engines
Access software
Basic Local Alignment Search Tool BLAST
Analytical or scientific software
Bioconductor
Analytical or scientific software
Bowtie
Analytical or scientific software
Burrows-Wheeler Aligner BWA
Analytical or scientific software
C
Development environment software
HOT
C++
Object or component oriented development
HOT
ClustalW
Analytical or scientific software
Cufflinks
Analytical or scientific software
Data visualization software
Analytical or scientific software
Esri ArcGIS
Geographic information system
Genome Analysis Toolkit GATK
Analytical or scientific software
GENSCAN
Analytical or scientific software
Geographic information system GIS software
Geographic information system
Git
File versioning software
HOT
Hypertext markup language HTML
Web platform development software
HOT
Source: O*NET 30.3 Software Skills ↗ · CC BY 4.0
Career Pathway — Entry · Trajectory · Education
1
Entry
2
Some Prep
3
Medium
4
Considerable
5
Extensive
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in acco
Entry typically requires a bachelor's degree (50.9% of professionals) with strong foundations in both computer science and biological sciences, as evidenced by the high knowledge requirements in computers/electronics, mathematics, and biology. Many positions prefer candidates with coursework in programming, statistics, and molecular biology or related life sciences. Practical experience through internships or research projects involving data analysis, database management, or computational biology provides valuable preparation. Some entry-level positions may accept candidates with associate degrees plus relevant technical certifications, particularly in database management or programming languages commonly used in bioinformatics.
Career advancement often involves pursuing specialized expertise in areas like machine learning algorithms, genomics, or clinical informatics, with many professionals earning master's degrees (40.7%) to advance into senior analyst or project leadership roles. Experienced technicians may transition into data scientist positions, database architecture roles, or specialized positions in pharmaceutical research and development. The growing intersection of AI and biology creates opportunities to move into emerging fields like computational drug discovery or personalized medicine informatics. Leadership paths include becoming principal investigators on research projects or transitioning into bioinformatics consulting and software development.
Bachelor's Degree 50.9%
Master's Degree 40.7%
Doctoral Degree 4.1%
Post-Baccalaureate Certificate - awarded for 2.5%
Post-Doctoral Training 1.9%
Source: O*NET 30.3 Education + Job Zones ↗ · CC BY 4.0
Live Job Feed — Active Postings
Live Bioinformatics Technicians job postings populate here as the crawler feeds data. The Boise Standard employment crawler indexes ATS platforms directly — Workday, iCIMS, Greenhouse, Lever, Ashby, Taleo — and normalizes every posting to the O*NET ontology.

Postings appear within hours of going live on the source ATS. No aggregator lag. Direct from source.
Browse Tech Feed → Submit Open Position →
◈ SEMANTIC MANIFOLD — MULTI-SOURCE WORD FREQUENCY FINGERPRINT
Top 40 terms across five provenance layers: O*NET Tasks · O*NET Dimensions · DWAs · Wikipedia · Inference · Stop words removed · Deterministic · Constitutional Law III
tendency others equipment computer principles databases research applications activities management control computational includes bioinformatics procedures engineering objects software techniques tools
§ Full Frequency Ranking — 40 terms
TERM COUNT FREQ BAR SOURCE ATTRIBUTION
tendency 42 0.0148
onet dimensi 100%
others 38 0.0134
onet dimensi 100%
equipment 27 0.0095
onet dimensi 85% wikipedia 11%
computer 19 0.0067
dwas 37% wikipedia 21%
principles 17 0.0060
onet dimensi 94% wikipedia 6%
databases 15 0.0053
onet tasks 60% inference 27%
research 15 0.0053
inference 60% dwas 20%
applications 14 0.0049
dwas 43% onet dimensi 29%
activities 14 0.0049
onet dimensi 64% dwas 21%
management 14 0.0049
onet dimensi 50% onet tasks 14%
control 14 0.0049
onet dimensi 86% wikipedia 14%
computational 13 0.0046
inference 77% wikipedia 15%
includes 13 0.0046
onet dimensi 92% wikipedia 8%
bioinformatics 12 0.0042
inference 42% wikipedia 33%
procedures 12 0.0042
onet dimensi 67% dwas 17%
engineering 12 0.0042
wikipedia 75% onet dimensi 17%
objects 12 0.0042
onet dimensi 100%
software 11 0.0039
onet tasks 27% onet dimensi 27%
techniques 11 0.0039
onet dimensi 91% onet tasks 9%
tools 11 0.0039
onet dimensi 45% onet tasks 27%
analysis 11 0.0039
onet dimensi 36% onet tasks 18%
biological 11 0.0039
inference 82% onet tasks 9%
materials 11 0.0039
onet dimensi 91% dwas 9%
ideas 11 0.0039
onet dimensi 100%
needs 10 0.0035
onet dimensi 80% onet tasks 20%
problems 10 0.0035
onet dimensi 90% onet tasks 10%
body 10 0.0035
onet dimensi 100%
developing 10 0.0035
onet dimensi 80% inference 20%
database 9 0.0032
onet tasks 56% inference 33%
scientific 9 0.0032
inference 67% onet tasks 11%
BOISE STANDARD — FINE-TUNING RECORD · Bioinformatics Technicians
15-2099.01 · 8 QA pairs · jsonl · O*NET 30.3 + BLS OEWS
What is the current national employment level for Bioinformatics Technicians?
According to BLS OEWS May 2025, there are 3,720 Bioinformatics Technicians employed nationwide in this specialized field.
factual BLS OEWS May 2025 employment data
What is the median annual wage for Bioinformatics Technicians?
According to BLS OEWS May 2025, the median annual wage is $81,490, with the 10th percentile at $47,980 and 90th percentile at $154,580.
factual BLS OEWS May 2025 wage data
Which state offers the highest median wages for Bioinformatics Technicians, and what is the wage level?
California leads with a median wage of $180,500 according to BLS OEWS May 2025, significantly above the national median of $81,490.
market_intel BLS OEWS May 2025 state wage data
What are the fastest-growing related career paths from Bioinformatics Technician roles?
Data Scientists and Health Information Technologists represent primary-short related occupations, while Database Architects and Medical Laboratory Technologists offer advancement pathways according to ONet relatedness data.
market_intel ONet related occupations taxonomy
What educational background should I pursue to become a competitive Bioinformatics Technician?
Pursue a bachelor's degree combining computer science and biological sciences; 50.9% of technicians hold bachelor's degrees, while 40.7% have master's degrees for advancement, per BLS occupation data.
career_advice BLS education distribution data
What key personality traits align with success as a Bioinformatics Technician?
The role strongly aligns with Investigative (6.42), Conventional (6.04), and Realistic (3.81) RIASEC profiles, emphasizing analytical thinking and attention to detail—both rated as critical work styles.
career_advice RIASEC personality assessment dataWork style importance ratings
How does the Bioinformatics Technician wage compare to related health IT roles?
Bioinformatics Technicians earn $81,490 median wage, competitive with Health Information Technologists; advancement to Data Scientist roles (primary-short related occupation) offers higher earning potential.
comparative BLS OEWS May 2025ONet related occupations
What top software tools should I master to succeed in this field?
Prioritize BLAST, Bioconductor, C++, and version control systems (SVN) per industry tool rankings; these represent core technologies for genome analysis and research data management.
comparative Bundle software tools data
◈ Boise Standard Employment Graph · 15-2099.01 · minted 2026-06-02T16:18:30Z · Sources: O*NET 30.3 (CC BY 4.0) · BLS OEWS May 2025 (Public Domain) · BS: https://boisestandard.org/employment/15-2099-bioinformatics_technicians
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Boise Standard · The Standard of Information · boisestandard.org ↗
Provenance Window — Full Source Record · 15-2099.01 · Bioinformatics Technicians 7 source blocks · click to expand
O*NET Identity onetonline.org ↗ · O*NET 30.3 · CC BY 4.0 · retrieved 2026-06-02
[('onet_soc_code', '15-2099.01'), ('soc_code', '15-2099'), ('title', 'Bioinformatics Technicians'), ('vertical', 'tech'), ('job_zone', '4'), ('job_zone_name', 'Job Zone Four: Considerable Preparation Needed'), ('job_zone_exp', 'A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an a'), ('description', 'Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or i'), ('bundle_version', '1'), ('built_at', '2026-06-02T16:18:30Z')]
O*NET Task Statements (19 tasks, 0 emerging) O*NET 30.3 Task Statements · Incumbent-reported · CC BY 4.0
[Core] [66% incumbents] Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
  DWAs: Analyze operational or research data.

[Core] [66% incumbents] Maintain awareness of new and emerging computational methods and technologies.
  DWAs: Maintain current knowledge related to work activities.

[Core] [66% incumbents] Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
  DWAs: Search files, databases or reference materials to obtain needed information. | Enter information into databases or software programs.

[Core] [66% incumbents] Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
  DWAs: Confer with coworkers to coordinate work activities.

[Core] [66% incumbents] Participate in the preparation of reports or scientific publications.
  DWAs: Prepare research or technical reports.

[Core] [66% incumbents] Write computer programs or scripts to be used in querying databases.
  DWAs: Develop computer or online applications.

[Core] [66% incumbents] Create data management or error-checking procedures and user manuals.
  DWAs: Develop data analysis or data management procedures.

[Supplemental] [66% incumbents] Develop or apply data mining and machine learning algorithms.
  DWAs: Develop data analysis or data management procedures.

[Supplemental] [66% incumbents] Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.
  DWAs: Create electronic data backup to prevent loss of information. | Troubleshoot issues with computer applications or systems.

[Supplemental] [66% incumbents] Test new or updated software or tools and provide feedback to developers.
  DWAs: Develop computer or online applications.

[Core] [65% incumbents] Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
  DWAs: Develop computer or online applications.

[Core] [65% incumbents] Conduct quality analyses of data inputs and resulting analyses or predictions.
  DWAs: Analyze operational or research data.

[Core] [65% incumbents] Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.
  DWAs: Develop computer or online applications.

[Core] [65% incumbents] Document all database changes, modifications, or problems.
  DWAs: Maintain operational records.

[Supplemental] [65% incumbents] Design or implement web-based tools for querying large-scale biological databases.
  DWAs: Develop computer or online applications.

[Supplemental] [65% incumbents] Monitor database performance and perform any necessary maintenance, upgrades, or repairs.
  DWAs: Assess database performance. | Maintain computer equipment or software.

[Supplemental] [65% incumbents] Confer with database users about project timelines and changes.
  DWAs: Confer with organizational members to accomplish work activities.

[Supplemental] [65% incumbents] Package bioinformatics data for submission to public repositories.
  DWAs: Format digital documents, data, or images.

[Supplemental] [65% incumbents] Train bioinformatics staff or researchers in the use of databases.
  DWAs: Train personnel.
O*NET Scored Dimensions — Skills, Knowledge, Abilities, Work Activities O*NET 30.3 · CC BY 4.0 · domain_source: Incumbent/Analyst/Machine Learning
--- SKILLS ---
  Reading Comprehension (imp:3.75 lvl:4.25) — Understanding written sentences and paragraphs in work-related documents.
  Active Listening (imp:3.50 lvl:3.62) — Giving full attention to what other people are saying, taking time to understand
  Writing (imp:3.50 lvl:3.75) — Communicating effectively in writing as appropriate for the needs of the audienc
  Critical Thinking (imp:3.50 lvl:3.75) — Using logic and reasoning to identify the strengths and weaknesses of alternativ
  Active Learning (imp:3.50 lvl:3.88) — Understanding the implications of new information for both current and future pr
  Speaking (imp:3.38 lvl:3.62) — Talking to others to convey information effectively.
  Mathematics (imp:3.38 lvl:3.88) — Using mathematics to solve problems.
  Monitoring (imp:3.25 lvl:3.50) — Monitoring/Assessing performance of yourself, other individuals, or organization
  Science (imp:3.12 lvl:3.38) — Using scientific rules and methods to solve problems.
  Learning Strategies (imp:2.75 lvl:2.88) — Selecting and using training/instructional methods and procedures appropriate fo

--- KNOWLEDGE ---
  Computers and Electronics (imp:4.77 lvl:6.00) — Knowledge of circuit boards, processors, chips, electronic equipment, and comput
  Mathematics (imp:4.50 lvl:5.99) — Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their appl
  English Language (imp:3.99 lvl:4.68) — Knowledge of the structure and content of the English language including the mea
  Biology (imp:3.80 lvl:5.03) — Knowledge of plant and animal organisms, their tissues, cells, functions, interd
  Design (imp:2.91 lvl:3.34) — Knowledge of design techniques, tools, and principles involved in production of 
  Engineering and Technology (imp:2.86 lvl:2.96) — Knowledge of the practical application of engineering science and technology. Th
  Chemistry (imp:2.75 lvl:2.46) — Knowledge of the chemical composition, structure, and properties of substances a
  Education and Training (imp:2.72 lvl:3.36) — Knowledge of principles and methods for curriculum and training design, teaching
  Administration and Management (imp:2.71 lvl:3.29) — Knowledge of business and management principles involved in strategic planning, 
  Administrative (imp:2.70 lvl:3.11) — Knowledge of administrative and office procedures and systems such as word proce
  Customer and Personal Service (imp:2.60 lvl:2.45) — Knowledge of principles and processes for providing customer and personal servic
  Medicine and Dentistry (imp:2.53 lvl:2.59) — Knowledge of the information and techniques needed to diagnose and treat human i
  Physics (imp:2.37 lvl:2.15) — Knowledge and prediction of physical principles, laws, their interrelationships,
  Psychology (imp:2.17 lvl:2.11) — Knowledge of human behavior and performance; individual differences in ability, 
  Public Safety and Security (imp:1.91 lvl:1.26) — Knowledge of relevant equipment, policies, procedures, and strategies to promote
  Personnel and Human Resources (imp:1.88 lvl:1.77) — Knowledge of principles and procedures for personnel recruitment, selection, tra
  Production and Processing (imp:1.85 lvl:1.73) — Knowledge of raw materials, production processes, quality control, costs, and ot
  Mechanical (imp:1.85) — Knowledge of machines and tools, including their designs, uses, repair, and main
  Communications and Media (imp:1.84 lvl:1.67) — Knowledge of media production, communication, and dissemination techniques and m
  Telecommunications (imp:1.83 lvl:1.32) — Knowledge of transmission, broadcasting, switching, control, and operation of te
  Sales and Marketing (imp:1.60 lvl:1.78) — Knowledge of principles and methods for showing, promoting, and selling products
  Therapy and Counseling (imp:1.57) — Knowledge of principles, methods, and procedures for diagnosis, treatment, and r
  Law and Government (imp:1.55 lvl:1.05) — Knowledge of laws, legal codes, court procedures, precedents, government regulat
  Economics and Accounting (imp:1.48 lvl:0.73) — Knowledge of economic and accounting principles and practices, the financial mar
  Geography (imp:1.42 lvl:1.06) — Knowledge of principles and methods for describing the features of land, sea, an
  Sociology and Anthropology (imp:1.24) — Knowledge of group behavior and dynamics, societal trends and influences, human 
  Transportation (imp:1.22) — Knowledge of principles and methods for moving people or goods by air, rail, sea
  Foreign Language (imp:1.14) — Knowledge of the structure and content of a foreign (non-English) language inclu
  History and Archeology (imp:1.05) — Knowledge of historical events and their causes, indicators, and effects on civi
  Philosophy and Theology (imp:1.05) — Knowledge of different philosophical systems and religions. This includes their 
  Food Production (imp:1.02) — Knowledge of techniques and equipment for planting, growing, and harvesting food
  Building and Construction (imp:1.02) — Knowledge of materials, methods, and the tools involved in the construction or r
  Fine Arts (imp:1.02) — Knowledge of the theory and techniques required to compose, produce, and perform

--- ABILITIES ---
  Written Comprehension (imp:4.00 lvl:4.50) — The ability to read and understand information and ideas presented in writing.
  Oral Comprehension (imp:3.75 lvl:4.38) — The ability to listen to and understand information and ideas presented through 
  Deductive Reasoning (imp:3.75 lvl:3.75) — The ability to apply general rules to specific problems to produce answers that 
  Inductive Reasoning (imp:3.75 lvl:3.88) — The ability to combine pieces of information to form general rules or conclusion
  Written Expression (imp:3.62 lvl:4.12) — The ability to communicate information and ideas in writing so others will under
  Information Ordering (imp:3.62 lvl:3.62) — The ability to arrange things or actions in a certain order or pattern according
  Mathematical Reasoning (imp:3.62 lvl:4.12) — The ability to choose the right mathematical methods or formulas to solve a prob
  Oral Expression (imp:3.50 lvl:4.38) — The ability to communicate information and ideas in speaking so others will unde
  Selective Attention (imp:3.50 lvl:3.25) — The ability to concentrate on a task over a period of time without being distrac
  Problem Sensitivity (imp:3.38 lvl:3.88) — The ability to tell when something is wrong or is likely to go wrong. It does no
  Category Flexibility (imp:3.38 lvl:3.88) — The ability to generate or use different sets of rules for combining or grouping
  Flexibility of Closure (imp:3.38 lvl:3.62) — The ability to identify or detect a known pattern (a figure, object, word, or so
  Near Vision (imp:3.38 lvl:4.00) — The ability to see details at close range (within a few feet of the observer).
  Speech Recognition (imp:3.38 lvl:3.50) — The ability to identify and understand the speech of another person.
  Speech Clarity (imp:3.38 lvl:3.25) — The ability to speak clearly so others can understand you.
  Fluency of Ideas (imp:3.25 lvl:3.50) — The ability to come up with a number of ideas about a topic (the number of ideas
  Number Facility (imp:3.12 lvl:3.38) — The ability to add, subtract, multiply, or divide quickly and correctly.
  Originality (imp:3.00 lvl:3.25) — The ability to come up with unusual or clever ideas about a given topic or situa
  Perceptual Speed (imp:3.00 lvl:3.25) — The ability to quickly and accurately compare similarities and differences among
  Visualization (imp:3.00 lvl:3.12) — The ability to imagine how something will look after it is moved around or when 
  Memorization (imp:2.88 lvl:2.88) — The ability to remember information such as words, numbers, pictures, and proced
  Far Vision (imp:2.88 lvl:3.00) — The ability to see details at a distance.
  Speed of Closure (imp:2.75 lvl:2.88) — The ability to quickly make sense of, combine, and organize information into mea
  Time Sharing (imp:2.75 lvl:2.75) — The ability to shift back and forth between two or more activities or sources of
  Finger Dexterity (imp:2.50 lvl:2.25) — The ability to make precisely coordinated movements of the fingers of one or bot
  Visual Color Discrimination (imp:2.50 lvl:2.38) — The ability to match or detect differences between colors, including shades of c
  Hearing Sensitivity (imp:1.88 lvl:1.50) — The ability to detect or tell the differences between sounds that vary in pitch 
  Auditory Attention (imp:1.88 lvl:1.50) — The ability to focus on a single source of sound in the presence of other distra
  Depth Perception (imp:1.62 lvl:0.88) — The ability to judge which of several objects is closer or farther away from you
  Wrist-Finger Speed (imp:1.25 lvl:0.38) — The ability to make fast, simple, repeated movements of the fingers, hands, and 
  Control Precision (imp:1.12 lvl:0.25) — The ability to quickly and repeatedly adjust the controls of a machine or a vehi
  Spatial Orientation (imp:1.00) — The ability to know your location in relation to the environment or to know wher
  Arm-Hand Steadiness (imp:1.00) — The ability to keep your hand and arm steady while moving your arm or while hold
  Manual Dexterity (imp:1.00) — The ability to quickly move your hand, your hand together with your arm, or your
  Multilimb Coordination (imp:1.00) — The ability to coordinate two or more limbs (for example, two arms, two legs, or
  Response Orientation (imp:1.00) — The ability to choose quickly between two or more movements in response to two o
  Rate Control (imp:1.00) — The ability to time your movements or the movement of a piece of equipment in an
  Reaction Time (imp:1.00) — The ability to quickly respond (with the hand, finger, or foot) to a signal (sou
  Speed of Limb Movement (imp:1.00) — The ability to quickly move the arms and legs.
  Static Strength (imp:1.00) — The ability to exert maximum muscle force to lift, push, pull, or carry objects.
  Explosive Strength (imp:1.00) — The ability to use short bursts of muscle force to propel oneself (as in jumping
  Dynamic Strength (imp:1.00) — The ability to exert muscle force repeatedly or continuously over time. This inv
  Trunk Strength (imp:1.00) — The ability to use your abdominal and lower back muscles to support part of the 
  Stamina (imp:1.00) — The ability to exert yourself physically over long periods of time without getti
  Extent Flexibility (imp:1.00) — The ability to bend, stretch, twist, or reach with your body, arms, and/or legs.
  Dynamic Flexibility (imp:1.00) — The ability to quickly and repeatedly bend, stretch, twist, or reach out with yo
  Gross Body Coordination (imp:1.00) — The ability to coordinate the movement of your arms, legs, and torso together wh
  Gross Body Equilibrium (imp:1.00) — The ability to keep or regain your body balance or stay upright when in an unsta
  Night Vision (imp:1.00) — The ability to see under low-light conditions.
  Peripheral Vision (imp:1.00) — The ability to see objects or movement of objects to one's side when the eyes ar
  Glare Sensitivity (imp:1.00) — The ability to see objects in the presence of a glare or bright lighting.
  Sound Localization (imp:1.00) — The ability to tell the direction from which a sound originated.

--- WORK ACTIVITIES ---
  Working with Computers (imp:4.91 lvl:5.25) — Using computers and computer systems (including hardware and software) to progra
  Processing Information (imp:4.76 lvl:6.54) — Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying
  Analyzing Data or Information (imp:4.76 lvl:6.28) — Identifying the underlying principles, reasons, or facts of information by break
  Getting Information (imp:4.61 lvl:5.90) — Observing, receiving, and otherwise obtaining information from all relevant sour
  Updating and Using Relevant Knowledge (imp:4.33 lvl:6.10) — Keeping up-to-date technically and applying new knowledge to your job.
  Making Decisions and Solving Problems (imp:4.29 lvl:5.62) — Analyzing information and evaluating results to choose the best solution and sol
  Identifying Objects, Actions, and Events (imp:4.15 lvl:5.49) — Identifying information by categorizing, estimating, recognizing differences or 
  Thinking Creatively (imp:4.13 lvl:5.77) — Developing, designing, or creating new applications, ideas, relationships, syste
  Communicating with Supervisors, Peers, or Subordinates (imp:4.13 lvl:5.32) — Providing information to supervisors, co-workers, and subordinates by telephone,
  Interpreting the Meaning of Information for Others (imp:4.04 lvl:5.34) — Translating or explaining what information means and how it can be used.
  Monitoring Processes, Materials, or Surroundings (imp:3.95 lvl:4.83) — Monitoring and reviewing information from materials, events, or the environment,
  Documenting/Recording Information (imp:3.86 lvl:4.68) — Entering, transcribing, recording, storing, or maintaining information in writte
  Organizing, Planning, and Prioritizing Work (imp:3.72 lvl:4.77) — Developing specific goals and plans to prioritize, organize, and accomplish your
  Judging the Qualities of Objects, Services, or People (imp:3.48 lvl:4.63) — Assessing the value, importance, or quality of things or people.
  Estimating the Quantifiable Characteristics of Products, Events, or Information (imp:3.30 lvl:4.08) — Estimating sizes, distances, and quantities; or determining time, costs, resourc
  Evaluating Information to Determine Compliance with Standards (imp:3.18 lvl:3.84) — Using relevant information and individual judgment to determine whether events o
  Developing Objectives and Strategies (imp:3.16 lvl:3.13) — Establishing long-range objectives and specifying the strategies and actions to 
  Establishing and Maintaining Interpersonal Relationships (imp:3.11 lvl:4.31) — Developing constructive and cooperative working relationships with others, and m
  Providing Consultation and Advice to Others (imp:2.96 lvl:3.67) — Providing guidance and expert advice to management or other groups on technical,
  Scheduling Work and Activities (imp:2.82 lvl:2.63) — Scheduling events, programs, and activities, as well as the work of others.
  Training and Teaching Others (imp:2.81 lvl:3.70) — Identifying the educational needs of others, developing formal educational or tr
  Drafting, Laying Out, and Specifying Technical Devices, Parts, and Equipment (imp:2.64 lvl:2.86) — Providing documentation, detailed instructions, drawings, or specifications to t
  Coaching and Developing Others (imp:2.60 lvl:3.48) — Identifying the developmental needs of others and coaching, mentoring, or otherw
  Developing and Building Teams (imp:2.52 lvl:2.14) — Encouraging and building mutual trust, respect, and cooperation among team membe
  Communicating with People Outside the Organization (imp:2.46 lvl:3.04) — Communicating with people outside the organization, representing the organizatio
  Coordinating the Work and Activities of Others (imp:2.42 lvl:2.75) — Getting members of a group to work together to accomplish tasks.
  Repairing and Maintaining Electronic Equipment (imp:2.33 lvl:2.44) — Servicing, repairing, calibrating, regulating, fine-tuning, or testing machines,
  Guiding, Directing, and Motivating Subordinates (imp:2.20 lvl:2.07) — Providing guidance and direction to subordinates, including setting performance 
  Performing Administrative Activities (imp:2.20 lvl:2.45) — Performing day-to-day administrative tasks such as maintaining information files
  Inspecting Equipment, Structures, or Materials (imp:2.08 lvl:1.79) — Inspecting equipment, structures, or materials to identify the cause of errors o
  Selling or Influencing Others (imp:2.04 lvl:1.62) — Convincing others to buy merchandise/goods or to otherwise change their minds or
  Performing for or Working Directly with the Public (imp:2.04 lvl:2.51) — Performing for people or dealing directly with the public. This includes serving
  Resolving Conflicts and Negotiating with Others (imp:1.98 lvl:1.94) — Handling complaints, settling disputes, and resolving grievances and conflicts, 
  Monitoring and Controlling Resources (imp:1.94 lvl:1.87) — Monitoring and controlling resources and overseeing the spending of money.
  Assisting and Caring for Others (imp:1.93 lvl:1.65) — Providing personal assistance, medical attention, emotional support, or other pe
  Staffing Organizational Units (imp:1.71 lvl:1.38) — Recruiting, interviewing, selecting, hiring, and promoting employees in an organ
  Controlling Machines and Processes (imp:1.62 lvl:1.62) — Using either control mechanisms or direct physical activity to operate machines 
  Handling and Moving Objects (imp:1.60 lvl:1.43) — Using hands and arms in handling, installing, positioning, and moving materials,
  Performing General Physical Activities (imp:1.50 lvl:1.15) — Performing general physical activities includes doing activities that require co
  Repairing and Maintaining Mechanical Equipment (imp:1.33 lvl:0.87) — Servicing, repairing, adjusting, and testing machines, devices, moving parts, an
  Operating Vehicles, Mechanized Devices, or Equipment (imp:1.16 lvl:0.36) — Running, maneuvering, navigating, or driving vehicles or mechanized equipment, s

--- WORK STYLES ---
  Dependability (imp:6.00) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Attention to Detail (imp:5.00) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Cautiousness (imp:4.00) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Intellectual Curiosity (imp:3.00) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Attention to Detail (imp:2.88) — A tendency to be detail-oriented, organized, and thorough in completing work.
  Intellectual Curiosity (imp:2.54) — A tendency to seek out and acquire new work-related knowledge and obtain a deep 
  Dependability (imp:2.36) — A tendency to be reliable, responsible, and consistent in meeting work-related o
  Adaptability (imp:2.25) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Innovation (imp:2.12) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Cautiousness (imp:2.06) — A tendency to be careful, deliberate, and risk-avoidant when making work-related
  Innovation (imp:2.00) — A tendency to be inventive, to be imaginative, and to adopt new perspectives on 
  Achievement Orientation (imp:1.92) — A tendency to establish and maintain personally challenging work-related goals, 
  Integrity (imp:1.76) — A tendency to be honest and ethical at work.
  Perseverance (imp:1.64) — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Tolerance for Ambiguity (imp:1.62) — A tendency to be comfortable with ambiguity and uncertainty at work.
  Cooperation (imp:1.41) — A tendency to be pleasant, helpful, and willing to assist others at work.
  Initiative (imp:1.15) — A tendency to be proactive and take on extra responsibilities and tasks that may
  Stress Tolerance (imp:1.09) — A tendency to cope and function effectively in stressful situations at work.
  Adaptability (imp:1.00) — A tendency to be open to and comfortable with change, new experiences, or ideas 
  Self-Confidence (imp:0.94) — A tendency to believe in one's work-related capabilities and ability to control 
  Self-Control (imp:0.48) — A tendency to remain calm and composed and to manage emotions effectively in res
  Humility (imp:0.45) — A tendency to be modest and humble when interacting with others at work.
  Sincerity (imp:0.40) — A tendency to be genuine and sincere in interactions with others at work, withou
  Social Orientation (imp:0.27) — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Optimism (imp:0.13) — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Achievement Orientation () — A tendency to establish and maintain personally challenging work-related goals, 
  Tolerance for Ambiguity () — A tendency to be comfortable with ambiguity and uncertainty at work.
  Initiative () — A tendency to be proactive and take on extra responsibilities and tasks that may
  Self-Confidence () — A tendency to believe in one's work-related capabilities and ability to control 
  Perseverance () — A tendency to exhibit determination and resolve to perform or complete tasks in 
  Leadership Orientation () — A tendency to lead, take charge, offer opinions, and provide direction at work.
  Humility () — A tendency to be modest and humble when interacting with others at work.
  Sincerity () — A tendency to be genuine and sincere in interactions with others at work, withou
  Empathy () — A tendency to show concern for others and be sensitive to others' needs and feel
  Cooperation () — A tendency to be pleasant, helpful, and willing to assist others at work.
  Optimism () — A tendency to exhibit a positive attitude and positive emotions at work, even un
  Social Orientation () — A tendency to seek out, enjoy, and be energized by social interaction at work.
  Integrity () — A tendency to be honest and ethical at work.
  Stress Tolerance () — A tendency to cope and function effectively in stressful situations at work.
  Self-Control () — A tendency to remain calm and composed and to manage emotions effectively in res
  Empathy (imp:-0.02) — A tendency to show concern for others and be sensitive to others' needs and feel
  Leadership Orientation (imp:-0.24) — A tendency to lead, take charge, offer opinions, and provide direction at work.

--- TRANSFERABLE SKILLS ---
  Complex Problem Solving (imp:3.50 lvl:3.38) — Identifying complex problems and reviewing related information to develop and ev
  Judgment and Decision Making (imp:3.50 lvl:3.50) — Considering the relative costs and benefits of potential actions to choose the m
  Systems Analysis (imp:3.25 lvl:3.50) — Determining how a system should work and how changes in conditions, operations, 
  Programming (imp:3.12 lvl:3.00) — Writing computer programs for various purposes.
  Systems Evaluation (imp:3.00 lvl:3.50) — Identifying measures or indicators of system performance and the actions needed 
  Time Management (imp:3.00 lvl:3.00) — Managing one's own time and the time of others.
  Social Perceptiveness (imp:2.88 lvl:3.00) — Being aware of others' reactions and understanding why they react as they do.
  Coordination (imp:2.88 lvl:3.00) — Adjusting actions in relation to others' actions.
  Instructing (imp:2.88 lvl:3.25) — Teaching others how to do something.
  Persuasion (imp:2.75 lvl:2.88) — Persuading others to change their minds or behavior.
  Operations Monitoring (imp:2.62 lvl:2.50) — Watching gauges, dials, or other indicators to make sure a machine is working pr
  Management of Personnel Resources (imp:2.62 lvl:2.38) — Motivating, developing, and directing people as they work, identifying the best 
  Negotiation (imp:2.50 lvl:2.75) — Bringing others together and trying to reconcile differences.
  Service Orientation (imp:2.50 lvl:2.88) — Actively looking for ways to help people.
  Quality Control Analysis (imp:2.25) — Conducting tests and inspections of products, services, or processes to evaluate
  Operations Analysis (imp:2.12) — Analyzing needs and product requirements to create a design.
  Technology Design (imp:2.12) — Generating or adapting equipment and technology to serve user needs.
  Management of Financial Resources (imp:1.62 lvl:1.00) — Determining how money will be spent to get the work done, and accounting for the
  Management of Material Resources (imp:1.62 lvl:1.00) — Obtaining and seeing to the appropriate use of equipment, facilities, and materi
  Equipment Selection (imp:1.12 lvl:0.25) — Determining the kind of tools and equipment needed to do a job.
  Operation and Control (imp:1.12 lvl:0.25) — Controlling operations of equipment or systems.
  Equipment Maintenance (imp:1.12 lvl:0.38) — Performing routine maintenance on equipment and determining when and what kind o
  Troubleshooting (imp:1.12 lvl:0.38) — Determining causes of operating errors and deciding what to do about it.
  Repairing (imp:1.12 lvl:0.38) — Repairing machines or systems using the needed tools.
  Installation (imp:1.00) — Installing equipment, machines, wiring, or programs to meet specifications.
BLS OEWS May 2025 — 3,720 employed nationally bls.gov/oes ↗ · Public Domain · US Government · retrieved 2026-06-02
--- NATIONAL WAGES ---
  total_employment : 3,720
  annual_median    : $81,490
  annual_pct10     : $47,980
  annual_pct25     : $60,750
  annual_pct75     : $107,180
  annual_pct90     : $154,580
  annual_mean      : $91,550
  hourly_median    : $39.18

--- GEOGRAPHIC DISPERSION ---
  highest_state    : California ($180,500)
  lowest_state     : Oklahoma ($36,820)
  dispersion_ratio : 4.902x

--- TOP STATES BY WAGE (13 total) ---
  Professional, Scientific, and Technical Services emp:    1,430  median: $  94,490
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      650  median: $  58,240
  Educational Services                     emp:      380  median: $  74,160
  Administrative and Support and Waste Management and Remediation Services emp:      200  median: $  70,110
  Management of Companies and Enterprises  emp:      130  median: $  80,900
  Manufacturing                            emp:      100  median: $  69,420
  Wholesale Trade                          emp:       90  median: $ 115,650
  Health Care and Social Assistance        emp:       90  median: $  84,100
  Other Services (except Public Administration) emp:       70  median: $  78,440

--- TOP INDUSTRIES BY EMPLOYMENT (9 total) ---
  Professional, Scientific, and Technical Services emp:    1,430  median: $  94,490
  Federal, State, and Local Government, excluding State and Local Government Schools and Hospitals and the U.S. Postal Service (OEWS Designation) emp:      650  median: $  58,240
  Educational Services                     emp:      380  median: $  74,160
  Administrative and Support and Waste Management and Remediation Services emp:      200  median: $  70,110
  Management of Companies and Enterprises  emp:      130  median: $  80,900
  Manufacturing                            emp:      100  median: $  69,420
  Wholesale Trade                          emp:       90  median: $ 115,650
  Health Care and Social Assistance        emp:       90  median: $  84,100
  Other Services (except Public Administration) emp:       70  median: $  78,440
Wikipedia — no exact match (0 words) N/A ↗ · CC BY-SA 4.0
exact_match_status : no_exact_match
matched_title      : N/A
match_score        : 0.0000
wikidata_qid       : N/A
word_count         : 0
wikipedia_url      : N/A
license            : CC BY-SA 4.0
fetched_at         : 2026-06-02T20:28:05.780220Z

--- SEMANTIC NEIGHBORS (5) ---

  Title: Pavel A. Pevzner (similarity: 0.0952)
  URL: https://en.wikipedia.org/wiki/Pavel_A._Pevzner
  QID: Q4262009
  Extract: Pavel Arkadevich Pevzner is the Ronald R. Taylor Professor of Computer Science and director of the NIH Center for Computational Mass Spectrometry at University of California, San Diego. He serves on the editorial board of PLoS Computational Biology and he is a member of the Genome Institute of Singa

  Title: Biomedical engineering (similarity: 0.3333)
  URL: https://en.wikipedia.org/wiki/Biomedical_engineering
  QID: Q327092
  Extract: Biomedical engineering (BME) or medical engineering is the application of engineering principles and design concepts to medicine and biology for healthcare applications. BME also integrates the logical sciences to advance health care treatment, including diagnosis, monitoring, and therapy. Also incl

  Title: Alan Christoffels (similarity: 0.2791)
  URL: https://en.wikipedia.org/wiki/Alan_Christoffels
  QID: Q113644455
  Extract: Alan Christoffels is a bioinformatics scientist, academic, and an author. He is Professor of Bioinformatics, and the director of the South African National Bioinformatics Institute at the University of the Western Cape. He has been serving as a senior advisor to the Africa Centres for Disease Contro

  Title: Mechatronics (similarity: 0.3158)
  URL: https://en.wikipedia.org/wiki/Mechatronics
  QID: Q180165
  Extract: Mechatronics engineering, also called mechatronics, is the synergistic integration of mechanical, electrical, and computer systems employing mechanical engineering, electrical engineering, electronic engineering and computer science and engineering, and includes a combination of robotics, computer s

  Title: RNA-Seq (similarity: 0.2424)
  URL: https://en.wikipedia.org/wiki/RNA-Seq
  QID: Q2542347
  Extract: RNA-Seq is a next-generation sequencing (NGS) technique used to quantify and identify RNA molecules in a biological sample, providing a snapshot of the transcriptome at a specific time. It enables transcriptome-wide analysis by sequencing cDNA derived from RNA. Modern workflows often incorporate pse
Claude Inference — claude-sonnet-4-20250514 · confidence:high · $0.0465 inferred_at: 2026-06-03T14:22:38 UTC · Boise Standard inference pipeline v1.0
model_pass1          : claude-sonnet-4-20250514
model_pass2          : claude-haiku-4-5-20251001
inference_confidence : high
confidence_notes     : Strong confidence based on detailed O*NET data covering skills, knowledge, abilities, and work activities. BLS wage data provides reliable market intelligence, though the specialized nature and relatively small employment base may limit some generalizations about career trajectories.
inferred_at          : 2026-06-03T14:22:38.411020+00:00
tokens_input         : 4,466
tokens_output        : 4,260
cost_usd             : $0.046544
wikipedia_used       : False
wikipedia_title      : None
wikipedia_note       : No exact Wikipedia match exists for this specialized occupation. The semantic neighbors focus on biomedical engineering and notable bioinformatics researchers, reflecting the interdisciplinary nature of the field but lacking comprehensive occupational coverage.

--- PROSE FIELDS ---

ROLE SUMMARY:
Bioinformatics Technicians apply computational methods and data analysis tools to support biological and medical research across pharmaceuticals, biotechnology, and clinical informatics. They bridge the gap between computer science and life sciences by developing algorithms, managing biological databases, and analyzing genomic, proteomic, and other biological data. These professionals work primarily in research settings, using programming skills and scientific knowledge to advance understanding in computational biology and medical technology.

DAY IN THE LIFE:
A typical day involves analyzing large biological datasets using specialized software packages and statistical applications, often writing custom computer programs or scripts to query genetic databases and protein sequence repositories. They maintain and troubleshoot biological databases, ensuring data integrity through error-checking procedures and regular system backups. Much of their time is spent collaborating with researchers and clinicians to understand data requirements and translate scientific questions into computational approaches. They participate in preparing technical reports and scientific publications, documenting their analytical methods and findings. Regular tasks include testing new bioinformatics software tools and providing feedback to developers, while staying current with emerging computational methods in the rapidly evolving field.

WHO THRIVES:
Individuals who excel in this role possess strong analytical minds with exceptional attention to detail, as evidenced by the high importance of dependability and cautiousness in their work styles. They demonstrate intellectual curiosity and thrive on processing complex information, requiring high levels of written and oral comprehension to understand scientific literature and communicate findings effectively. Success requires comfort with both mathematical reasoning and deductive problem-solving, as they must translate biological questions into computational frameworks. Those who flourish tend to be methodical thinkers who enjoy working with computers and databases, combining investigative tendencies with conventional organizational skills to manage large datasets systematically.

CAREER ENTRY:
Entry typically requires a bachelor's degree (50.9% of professionals) with strong foundations in both computer science and biological sciences, as evidenced by the high knowledge requirements in computers/electronics, mathematics, and biology. Many positions prefer candidates with coursework in programming, statistics, and molecular biology or related life sciences. Practical experience through internships or research projects involving data analysis, database management, or computational biology provides valuable preparation. Some entry-level positions may accept candidates with associate degrees plus relevant technical certifications, particularly in database management or programming languages commonly used in bioinformatics.

CAREER TRAJECTORY:
Career advancement often involves pursuing specialized expertise in areas like machine learning algorithms, genomics, or clinical informatics, with many professionals earning master's degrees (40.7%) to advance into senior analyst or project leadership roles. Experienced technicians may transition into data scientist positions, database architecture roles, or specialized positions in pharmaceutical research and development. The growing intersection of AI and biology creates opportunities to move into emerging fields like computational drug discovery or personalized medicine informatics. Leadership paths include becoming principal investigators on research projects or transitioning into bioinformatics consulting and software development.

MARKET INTELLIGENCE:
Employment of 3,720 professionals nationwide reflects a specialized but growing field, with median annual wages of $81,490 according to BLS OEWS May 2025. Geographic wage variation is substantial, ranging from $36,820 in Oklahoma to $180,500 in California, indicating strong regional clustering around biotech hubs and research institutions. The highest employment concentrations are in Professional, Scientific, and Technical Services (1,430 employed) and government research facilities (650 employed), reflecting the research-intensive nature of the field. Demand is driven by expanding genomic research, precision medicine initiatives, and pharmaceutical companies' increasing reliance on computational drug discovery methods. The relatively small employment base suggests good opportunities for qualified candidates, particularly those with advanced degrees and specialized programming skills.

AUTOMATION OUTLOOK:
The role has moderate automation resilience due to its emphasis on creative thinking, complex problem-solving, and the need for domain expertise in both biology and computer science. While routine data processing tasks may become increasingly automated, the core activities of developing analytical approaches, interpreting biological significance of computational results, and collaborating with researchers require human judgment and scientific reasoning. The high importance of thinking creatively and making decisions suggests continued demand for human expertise in designing novel analytical methods and translating biological questions into computational frameworks.

--- REASONED EDGES ---
  [skill_overlap] Data Scientists (15-2051.00) — confidence:high
    reasoning: Both roles share core competencies in data analysis, statistical applications, and machine learning algorithms with similar mathematical reasoning requirements.
    data: Analyzing Data or Information (imp:4.8)
    data: Complex Problem Solving
    data: Mathematical Reasoning (imp:3.6)
  [task_similarity] Database Architects (15-1243.00) — confidence:high
    reasoning: Both roles involve creating data management procedures, writing database queries, and performing system administrative functions.
    data: Working with Computers (imp:4.9)
    data: Create data management procedures
    data: Write computer programs or scripts
  [knowledge_overlap] Biological Technicians (19-4021.00) — confidence:medium
    reasoning: Shared foundation in biological sciences knowledge, though bioinformatics technicians require additional computational expertise.
    data: Biology (imp:3.8, lvl:5.0)
    data: Job Zone 4
    data: Professional, Scientific, and Technical Services employment
  [career_pathway] Health Information Technologists and Medical Registrars (29-9021.00) — confidence:medium
    reasoning: Both roles bridge technology and healthcare through data management, with potential progression between clinical informatics and research informatics.
    data: Enter or retrieve information from databases
    data: Computers and Electronics (imp:4.8)
    data: Healthcare industry applications
  [transferable_skill] Database Administrators (15-1242.00) — confidence:high
    reasoning: Core database management skills including system administration, troubleshooting, and data integrity procedures are directly transferable.
    data: Perform routine system administrative functions
    data: Create data management procedures
    data: Working with Computers (imp:4.9)

--- NORMALIZER SIGNALS ---
  match_keywords   : ['bioinformatics', 'computational biology', 'genomics', 'proteomics', 'biological databases', 'sequence analysis', 'biodata', 'molecular informatics']
  exclude_keywords : ['clinical laboratory', 'medical records', 'pure programming', 'general data entry', 'administrative']
  title_patterns   : ['bioinformatics', 'computational biolog', 'biodata', 'genomic', 'molecular informatics']
  common_variations: ['bioinformatics analyst', 'computational biology technician', 'genomics technician', 'biodata analyst', 'research informatics specialist', 'molecular data analyst', 'biometrics technician', 'scientific informatics analyst']
Semantic Manifold — 40 terms · 5 provenance layers employment_word_extractor.py · sources: onet_tasks | onet_dimensions | dwas | wikipedia | inference · Constitutional Law III
total_terms    : 40
top_words      : ['tendency', 'others', 'equipment', 'computer', 'principles', 'databases', 'research', 'applications', 'activities', 'management', 'control', 'computational', 'includes', 'bioinformatics', 'procedures', 'engineering', 'objects', 'software', 'techniques', 'tools']
source_layers  : onet_tasks | onet_dimensions | dwas | wikipedia | inference

TERM                    COUNT     FREQ  DOMINANT SOURCE      SOURCE BREAKDOWN
──────────────────────────────────────────────────────────────────────────────────────────
tendency                   42  0.01478  onet_dimensions      onet_dimensions:100%
others                     38  0.01338  onet_dimensions      onet_dimensions:100%
equipment                  27  0.00950  onet_dimensions      onet_dimensions:85%  wikipedia:11%  dwas:4%
computer                   19  0.00669  dwas                 dwas:37%  wikipedia:21%  inference:21%
principles                 17  0.00598  onet_dimensions      onet_dimensions:94%  wikipedia:6%
databases                  15  0.00528  onet_tasks           onet_tasks:60%  inference:27%  dwas:13%
research                   15  0.00528  inference            inference:60%  dwas:20%  onet_tasks:7%
applications               14  0.00493  dwas                 dwas:43%  onet_dimensions:29%  onet_tasks:14%
activities                 14  0.00493  onet_dimensions      onet_dimensions:64%  dwas:21%  onet_tasks:7%
management                 14  0.00493  onet_dimensions      onet_dimensions:50%  onet_tasks:14%  dwas:14%
control                    14  0.00493  onet_dimensions      onet_dimensions:86%  wikipedia:14%
computational              13  0.00458  inference            inference:77%  wikipedia:15%  onet_tasks:8%
includes                   13  0.00458  onet_dimensions      onet_dimensions:92%  wikipedia:8%
bioinformatics             12  0.00422  inference            inference:42%  wikipedia:33%  onet_tasks:25%
procedures                 12  0.00422  onet_dimensions      onet_dimensions:67%  dwas:17%  onet_tasks:8%
engineering                12  0.00422  wikipedia            wikipedia:75%  onet_dimensions:17%  inference:8%
objects                    12  0.00422  onet_dimensions      onet_dimensions:100%
software                   11  0.00387  onet_tasks           onet_tasks:27%  onet_dimensions:27%  inference:27%
techniques                 11  0.00387  onet_dimensions      onet_dimensions:91%  onet_tasks:9%
tools                      11  0.00387  onet_dimensions      onet_dimensions:45%  onet_tasks:27%  inference:18%
analysis                   11  0.00387  onet_dimensions      onet_dimensions:36%  onet_tasks:18%  dwas:18%
biological                 11  0.00387  inference            inference:82%  onet_tasks:9%  wikipedia:9%
materials                  11  0.00387  onet_dimensions      onet_dimensions:91%  dwas:9%
ideas                      11  0.00387  onet_dimensions      onet_dimensions:100%
needs                      10  0.00352  onet_dimensions      onet_dimensions:80%  onet_tasks:20%
problems                   10  0.00352  onet_dimensions      onet_dimensions:90%  onet_tasks:10%
body                       10  0.00352  onet_dimensions      onet_dimensions:100%
developing                 10  0.00352  onet_dimensions      onet_dimensions:80%  inference:20%
database                    9  0.00317  onet_tasks           onet_tasks:56%  inference:33%  dwas:11%
scientific                  9  0.00317  inference            inference:67%  onet_tasks:11%  onet_dimensions:11%
performance                 9  0.00317  onet_dimensions      onet_dimensions:78%  onet_tasks:11%  dwas:11%
understand                  9  0.00317  onet_dimensions      onet_dimensions:78%  inference:22%
problem                     9  0.00317  onet_dimensions      onet_dimensions:78%  inference:22%
monitoring                  9  0.00317  onet_dimensions      onet_dimensions:89%  wikipedia:11%
biology                     9  0.00317  inference            inference:67%  wikipedia:22%  onet_dimensions:11%
human                       9  0.00317  onet_dimensions      onet_dimensions:78%  inference:22%
resources                   9  0.00317  onet_dimensions      onet_dimensions:100%
providing                   9  0.00317  onet_dimensions      onet_dimensions:78%  wikipedia:11%  inference:11%
standards                   9  0.00317  onet_dimensions      onet_dimensions:89%  wikipedia:11%
quickly                     9  0.00317  onet_dimensions      onet_dimensions:100%
◈ Boise Standard Employment Graph · 15-2099.01 · built 2026-06-02 · Sources declared above are authoritative originals. This page synthesizes but does not replace them. Every claim traceable. Full provenance. Constitutional Law I.
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