NSXNational Skills ExchangeSign in
Back to Framework

Bioinformatics Technicians

SOC 15-2099.01Job Zone 4 · Considerable Preparationv.26.05

Context coveredThis framework covers bioinformatics technician practice across research laboratories, clinical genomics environments, and computational biology units in academic, healthcare, and industry settings, spanning database development, data analysis pipelines, software extension, and cross-disciplinary scientific communication.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Bioinformatics data — retrieve and organize from genomic, protein sequence, or gene expression databases under direct supervision in a research laboratory setting.
  2. Statistical software packages — apply to basic bioinformatics datasets following established protocols and step-by-step guidance from senior staff.
  3. Quality checks — perform routine validation of data inputs using prescribed checklists to flag anomalies in structured pipeline workflows.
  4. Structural and mutation databases — enter and retrieve records accurately using standard query templates in a supervised computational biology environment.
  5. Scientific literature — read and summarize relevant papers on emerging bioinformatics methods to support team awareness activities.
  6. Existing database queries — execute and document results under guidance to support ongoing sequence management tasks in a shared research environment.
  7. File versioning software — use to track changes to scripts and data files following team-defined version control conventions.
  8. Research team meetings — attend and actively listen to clarify data needs and programming requirements as directed by project leads.
  9. Basic programming scripts — write and test simple code in a supervised development environment to automate repetitive bioinformatics tasks.
  10. Draft report sections — contribute factual summaries of data retrieval results to scientific publications under close editorial review by senior researchers.
Developing
Mid-level / Established
  1. Bioinformatics data pipelines — analyze and manipulate datasets using statistical applications and data mining techniques with reduced oversight in a production research environment.
  2. Existing software programs and web-based tools — extend functionality as sequence management needs evolve, applying object-oriented development practices in a collaborative lab setting.
  3. Genomic and protein sequence databases — query and cross-reference multiple repositories independently to retrieve information relevant to ongoing research projects.
  4. Data quality analyses — conduct systematic assessments of inputs and model predictions, documenting findings and recommending corrective actions to project supervisors.
  5. Searchable bioinformatics databases — develop and maintain applications that process biological data for analysis and presentation in a multi-user research computing environment.
  6. Computational methods literature — monitor and evaluate new tools and technologies, summarizing implications for team workflows in regular knowledge-sharing sessions.
  7. Researchers and clinicians — confer with to gather data requirements and translate them into database schemas and analytical scripts within an interdisciplinary project team.
  8. Analytical or scientific software — configure and calibrate for specific biological analysis tasks, troubleshooting unexpected outputs in established pipeline contexts.
  9. Scientific reports and manuscripts — prepare structured drafts of methods and results sections, incorporating statistical outputs and database citations for peer review.
  10. Development environment software — manage project dependencies, testing environments, and code repositories to support reproducible bioinformatics analyses across team members.
Proficient
Senior / Expert IC
  1. Complex bioinformatics datasets — design and execute end-to-end analytical workflows using advanced statistical applications and custom data mining approaches across the full project lifecycle.
  2. Custom software extensions — architect and implement modifications to existing platforms and interactive web tools to address evolving sequence analysis requirements without external guidance.
  3. Emerging computational technologies — critically evaluate and pilot new methods, producing formal assessments that inform technology adoption decisions for the research group.
  4. Multi-source data quality assurance — lead rigorous validation of heterogeneous biological data inputs and predictive model outputs, resolving discrepancies through root-cause analysis.
  5. Enterprise bioinformatics database applications — develop, optimize, and sustain production systems that integrate genomic, expression, and mutation data for cross-functional analytical use.
  6. Cross-disciplinary stakeholders — independently facilitate technical consultations with researchers, clinicians, and IT staff to align data architecture with complex scientific objectives.
  7. Non-routine analytical problems — diagnose and resolve novel computational or data integrity challenges by applying deductive and inductive reasoning within high-stakes research settings.
  8. Scientific publications — lead the writing and revision of methods, results, and supplementary computational sections for submission to peer-reviewed journals.
  9. Systems analysis — evaluate end-to-end bioinformatics workflows to identify bottlenecks, redundancies, and failure points, implementing evidence-based improvements in production environments.
  10. Mathematical and statistical models — apply advanced quantitative reasoning to interpret biological data patterns and validate model assumptions within genome-scale analytical projects.
Advanced
Lead / Principal / Executive
  1. Organizational bioinformatics strategy — define and champion a multi-year computational roadmap aligned with institutional research priorities and emerging life-sciences technology trends.
  2. Bioinformatics competency development — mentor and evaluate technicians and analysts across all experience levels, designing training curricula that build organizational analytical capability.
  3. Enterprise-scale data architecture — oversee the design and governance of integrated genomic, proteomic, and expression database ecosystems serving institution-wide research and clinical programs.
  4. Cross-functional innovation initiatives — lead cross-departmental teams to pioneer novel computational methodologies, translating research insights into scalable bioinformatics products and services.
  5. Research computing investments — advise executive and funding stakeholders on technology acquisition, tool prioritization, and resource allocation for large-scale bioinformatics infrastructure.
  6. Quality and compliance frameworks — establish organization-wide standards for data quality, reproducibility, and regulatory compliance across all bioinformatics pipelines and publications.
  7. Strategic partnerships — cultivate collaborations with external research institutions, technology vendors, and funding agencies to advance the organization's computational biology capabilities.
  8. High-impact scientific publications — direct and contribute expert authorship to landmark manuscripts, reviews, and data resource papers that shape the field's methodological standards.
  9. Systems-level risk evaluation — assess institutional vulnerabilities in computational workflows and data security, designing mitigation strategies that safeguard sensitive biological research assets.
  10. Thought leadership — represent the organization at scientific conferences, expert panels, and policy forums, shaping community standards for bioinformatics practice and data sharing.

AI-at-Work Competency Framework

Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.
Subscriber feature

Authoritative source data identified for 998 occupations

How a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline; click a citation chip to verify the source.

Emerging
  1. AI-assisted database retrieval — submits structured queries to genomic, protein sequence, or gene expression databases using AI-suggested syntax, then manually verifies returned entries against expected biological annotations Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  2. Literature-guided tool adoption — reads AI-summarized abstracts and release notes to stay current with emerging computational methods, cross-checking key claims against primary sources Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Developing
  1. Statistical pipeline acceleration — delegates routine data preprocessing and quality-control steps to AI-assisted scripts, then inspects outputs for anomalies before passing results downstream Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  2. Bioinformatics script extension — prompts an AI coding assistant to extend existing database queries or web-based tools as analysis needs evolve, reviewing every generated code block for biological correctness Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Quality analysis triage — uses AI to flag low-confidence predictions or malformed sequence inputs, then applies domain judgment to decide which flagged records require manual remediation Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Proficient
  1. End-to-end pipeline orchestration — directs AI agents through multi-step bioinformatics workflows—from raw sequence ingestion to variant annotation—retaining authorship of analysis design and parameter choices Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. AI-mediated data mining — instructs large-language-model-backed tools to surface co-expression patterns or motif enrichments across large genomic datasets, then critically evaluates statistical significance and biological plausibility Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Cross-database synthesis — coordinates AI-assisted joins across structural, mutation, and gene expression databases, validating schema alignment and resolving identifier conflicts by hand Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  4. Automated reporting with human oversight — configures AI to draft quality-analysis summaries and method sections, then rewrites conclusions to reflect nuanced experimental context the model cannot infer WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Advanced
  1. Autonomous workflow governance — designs governance protocols that specify which bioinformatics subtasks are delegated to AI autonomously versus escalated to human review, calibrated against the occupation's high augmentation share and documented time savings Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. Novel method integration — evaluates newly published computational algorithms for AI-automation feasibility, positions them within the Q2 augmented-skill quadrant, and architects hybrid human-AI pipelines that exploit tool strengths while compensating for model hallucination risk Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Cross-functional AI capability leadership — mentors junior technicians on responsible AI delegation boundaries, synthesizes empirical usage evidence into team-level standard operating procedures, and communicates automation trade-offs to project stakeholders Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Evidence pack
AEI usage
Task observations: 2620
Augment share: 95%
Time saved: 83.3%
AI autonomy: 3.14
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Artificial Intelligence
artificial_intelligence
Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.

Pathsmith Durable Skills Framework

Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Subscriber feature

Ten durable-skill domains mapped to four proficiency/role levels for each occupation. Each statement is aligned to the Pathsmith taxonomy, derived from trusted grounding data and mapped to occupation-specific O*NET tasks and skills.

1Communication10 statements
Emerging
  1. Scientific vocabulary use — applies standard bioinformatics terminology when describing sequence analysis results to research team members Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Data request clarification — asks follow-up questions during researcher consultations to confirm data format and scope requirements before beginning database queries Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Methods documentation — writes clear procedural descriptions of pipeline steps and parameter choices for internal lab records and reproducibility Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-disciplinary translation — explains computational outputs such as alignment scores and p-values to biologists or clinicians unfamiliar with statistical notation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Active listening in requirements gathering — synthesizes researcher intent from open-ended conversations to define precise programming or query specifications Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Scientific publication contribution — drafts methods and results sections describing bioinformatics analyses with precision sufficient for peer review Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stakeholder reporting — presents quality-control findings and analysis outcomes to multidisciplinary project teams using visualizations and plain-language summaries Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Technical specification writing — produces database schema documentation and API usage guides enabling non-developer collaborators to access genomic data resources O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Cross-institutional communication leadership — leads collaborative calls with external research groups to align on data-sharing standards, file formats, and joint analysis protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Grant and publication authorship — authors bioinformatics-specific sections of grant proposals and peer-reviewed manuscripts, translating complex computational methods for broad scientific audiences O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
2Leadership8 statements
Emerging
  1. Initiative in task ownership — takes independent responsibility for completing assigned database entry and retrieval tasks without requiring step-by-step supervision Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Peer knowledge sharing — volunteers to walk colleagues through basic sequence database navigation and query syntax during onboarding Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Pipeline ownership — leads the end-to-end execution of a defined bioinformatics analysis workflow, coordinating data inputs, software runs, and quality checks without direct oversight Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Junior staff guidance — demonstrates correct use of statistical applications and data-mining tools to newer technicians during hands-on training sessions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Project coordination — directs the sequencing analysis timeline for a multi-investigator study, assigning subtasks, tracking milestones, and resolving bottlenecks in data processing Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Tool evaluation leadership — leads the assessment and selection of new computational tools or database platforms, presenting recommendations to research leadership O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Research infrastructure leadership — champions the design and adoption of laboratory-wide data governance policies, pipeline standards, and version-control practices across teams Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Mentorship program development — creates structured onboarding curricula for incoming bioinformatics technicians covering scripting, database management, and analysis best practices Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
3Metacognition8 statements
Emerging
  1. Learning gap recognition — identifies personal unfamiliarity with a specific genomic database or statistical method and seeks targeted tutorials or documentation before proceeding Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Task planning awareness — outlines the sequence of steps needed to complete a data-mining query before executing, checking the plan against project requirements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Error-source reflection — reviews failed pipeline runs to distinguish between coding errors, parameter misspecification, and upstream data quality issues Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Skill prioritization — evaluates which emerging computational methods are most relevant to current project demands and allocates self-study time accordingly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Analysis strategy evaluation — monitors ongoing bioinformatics analyses for signs of methodological drift and adjusts scripts or parameters based on intermediate quality-control outputs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Knowledge transfer mapping — identifies which of one's own analytical competencies are underdocumented and creates reference materials to externalize tacit knowledge Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Cognitive workflow optimization — redesigns personal and team analytical workflows after systematic reflection on bottlenecks, reducing redundant processing steps across multi-omics projects Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Field-positioning self-assessment — benchmarks one's own computational skill set against emerging standards in the bioinformatics field and designs a multi-year professional development plan accordingly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
4Critical Thinking8 statements
Emerging
  1. Data validity questioning — flags obvious anomalies in sequence data inputs, such as unexpected gap patterns or implausible expression values, before proceeding with analysis Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Literature-grounded reasoning — cross-references analysis parameters with published methods papers to confirm that chosen settings are appropriate for the biological question O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Quality analysis execution — applies systematic quality-control checks to bioinformatics data inputs and pipeline outputs, distinguishing signal from artifact Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Assumption identification — identifies implicit assumptions embedded in a statistical model or alignment algorithm and evaluates their appropriateness for the dataset at hand Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Competing method evaluation — compares multiple bioinformatics tools for a given analysis task, weighing sensitivity, specificity, computational cost, and biological relevance before selecting an approach Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Causal inference scrutiny — distinguishes between correlation and biologically meaningful association in gene expression or mutation database outputs when interpreting results for researchers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Methodological critique — evaluates the analytical validity of existing published bioinformatics pipelines used in the lab, identifies systematic weaknesses, and proposes evidence-based revisions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Decision framework development — creates structured decision criteria for selecting analysis platforms and statistical approaches across diverse project types, institutionalizing critical evaluation practices Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
5Collaboration8 statements
Emerging
  1. Research team participation — attends cross-functional project meetings with biologists, clinicians, and IT staff and contributes relevant data-access updates Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Task handoff coordination — communicates data file locations, formats, and processing status to collaborators in a timely and organized manner Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Requirements co-development — works jointly with researchers and IT staff to translate biological questions into database query logic and software specifications Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Conflict navigation in data interpretation — constructively reconciles differing analytical conclusions between computational and wet-lab team members by presenting supporting evidence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Multi-stakeholder project integration — coordinates bioinformatics deliverables across concurrent projects involving researchers, clinicians, and database administrators, managing competing priorities Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Collaborative tool development — co-develops web-based interactive analysis tools with software engineers and domain scientists, integrating diverse technical and scientific inputs O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Consortium-level collaboration — represents the lab's bioinformatics capabilities in multi-institutional data-sharing consortia, negotiating shared pipeline standards and data access agreements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Interdisciplinary team building — establishes recurring collaborative structures between computational and experimental research groups to ensure continuous alignment on data needs and analytical outputs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
6Character8 statements
Emerging
  1. Data integrity commitment — enters genomic and protein sequence data into databases accurately and re-checks entries before submission to prevent downstream analytical errors Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Transparent error reporting — promptly discloses processing mistakes or data anomalies to supervisors rather than concealing or self-correcting without documentation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Reproducibility accountability — maintains version-controlled scripts and documented parameters so that all analyses can be independently verified and reproduced Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Confidentiality adherence — handles sensitive clinical or proprietary genomic datasets in strict accordance with institutional data governance and IRB protocols Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Ethical data use advocacy — raises concerns when analysis requests appear to conflict with data use agreements or ethical guidelines and escalates appropriately Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Professional reliability — consistently meets project deadlines for pipeline execution and report delivery while maintaining analytical rigor under competing workload demands Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Research integrity modeling — establishes and enforces lab-wide standards for data documentation, citation of computational tools, and honest reporting of analysis limitations in publications Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Ethical framework contribution — contributes to institutional policy discussions on responsible use of genomic databases and algorithmic decision-making in clinical research contexts Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
7Creativity8 statements
Emerging
  1. Query adaptation — modifies existing database query templates to accommodate novel data structures or biological questions beyond the original script design Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Visualization experimentation — explores alternative graphical representations of sequence or expression data to more effectively communicate patterns to non-computational collaborators Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Script extension — extends existing bioinformatics software programs to accommodate new sequence management or analysis requirements identified by the research team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Novel integration — combines outputs from multiple genomic databases in a non-standard configuration to answer a research question for which no established pipeline exists Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Custom tool development — designs original web-based interactive tools or analysis modules that address specific research workflows not served by available commercial or open-source software Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Methodological innovation — devises hybrid analytical approaches that integrate statistical, machine learning, and domain-biology knowledge to solve complex multi-omics interpretation challenges Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Pipeline architecture invention — conceives and builds novel end-to-end bioinformatics pipelines that introduce new analytical paradigms subsequently adopted by collaborating institutions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Creative problem framing — reframes ambiguous biological research questions into computationally tractable formulations, unlocking analysis pathways previously overlooked by the research team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset8 statements
Emerging
  1. Emerging technology tracking — monitors bioinformatics literature and conference announcements to identify newly released computational tools and databases relevant to current projects Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Feedback receptivity — incorporates researcher and supervisor feedback on analysis outputs into revised pipeline configurations without defensiveness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill stretch pursuit — independently learns a new programming language, statistical package, or database platform when current skills are insufficient for an evolving project requirement Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Failure-driven learning — documents the root causes of failed analyses or software errors and applies those lessons to prevent recurrence in subsequent workflows Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Continuous method updating — proactively replaces outdated analytical methods with current best practices as the bioinformatics field evolves, without waiting for supervisor direction Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stretch assignment acceptance — volunteers for novel analysis tasks involving unfamiliar data types or organisms, treating the learning curve as integral to professional development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Learning culture cultivation — models intellectual curiosity by publicly sharing self-taught methods and lessons from analytical failures in lab meetings, normalizing ongoing skill development for the team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Field evolution anticipation — anticipates shifts in dominant bioinformatics platforms based on publication trends and proactively upskills the team before organizational need becomes urgent Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
9Mindfulness8 statements
Emerging
  1. Attention management during repetitive tasks — maintains focused accuracy during high-volume data entry into genomic databases by using structured checklists and periodic self-review Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stress recognition — notices signs of cognitive overload during complex multi-step pipeline execution and pauses to reorient before continuing Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Intentional prioritization — deliberately sequences daily analysis tasks by urgency and computational resource demands rather than defaulting to the most recently received request Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Emotional regulation in ambiguity — maintains composure and analytical discipline when sequence data yields unexpected or inconclusive results that resist immediate interpretation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Deliberate quality review — pauses analysis pipelines at defined checkpoints to conduct a focused review of intermediate outputs before proceeding to downstream steps Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Interruption management — sets structured boundaries around deep computational work periods to protect the concentration needed for complex algorithm development or statistical modeling Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Team attentiveness modeling — establishes lab norms for attentive, distraction-free code review and data validation sessions, reducing systematic errors introduced by inattention Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Mindful stakeholder engagement — approaches consultations with researchers and clinicians with full present-moment attention, detecting unstated needs and contextual nuances that shape data requirements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
10Fortitude8 statements
Emerging
  1. Persistence through technical failure — continues troubleshooting software or database errors through multiple iteration cycles rather than abandoning the task at the first failed attempt Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Ambiguity tolerance — proceeds with data analysis under incomplete specifications by making documented, reversible assumptions and flagging them for researcher confirmation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Sustained problem-solving — maintains analytical effort across extended debugging sessions for complex bioinformatics pipelines, systematically isolating error sources despite prolonged uncertainty Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Deadline resilience — sustains output quality and attentiveness during compressed project timelines driven by publication or grant submission deadlines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Project adversity navigation — continues productive analytical work when large-scale data corruption, server failures, or upstream experimental errors invalidate previously completed pipeline runs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Constructive criticism endurance — maintains professional engagement and analytical rigor when peer review or supervisory feedback fundamentally challenges the validity of a completed analysis approach Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Organizational resilience leadership — guides the team through sustained periods of analytical uncertainty in long-term genomics studies, maintaining momentum and morale when results are elusive or contradictory Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Courageous scientific dissent — raises methodological concerns about a widely adopted lab practice or published result even when doing so challenges established team or field consensus, backing the position with rigorous evidence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Show O*NET source anchors53 anchors · skillscrosswalk.com

O*NET enrichment · skillscrosswalk.com

Suggest an O*NET correction

Source anchors that ground each statement

Related titles
Bioinformatics Analyst · Bioinformatics Research Technician · Bioinformatics Specialist · Bioinformatics Technician · Biometrics Technician · Biotechnician · Data Analyst · Data Technician · Database Technician · Field Data Technician · Log Data Technician · Museum Informatics Specialist
RAPIDS apprenticeships
—
O*NET skills
Reading ComprehensionActive LearningComplex Problem SolvingActive ListeningWritingCritical ThinkingJudgment and Decision MakingSpeakingMathematicsSystems AnalysisMonitoringScienceProgrammingSystems EvaluationTime Management
Knowledge domains
Computers and ElectronicsMathematicsEnglish LanguageBiology
Abilities
Written ComprehensionOral ComprehensionDeductive ReasoningInductive ReasoningInformation OrderingWritten ExpressionMathematical ReasoningSelective AttentionOral ExpressionNear Vision
Work styles
Attention to DetailIntellectual CuriosityDependabilityAdaptabilityInnovationCautiousness
Technology
File versioning softwareEnterprise application integration softwareAccess softwareAnalytical or scientific softwareDevelopment environment softwareObject or component oriented development softwareCustomer relationship management CRM softwareEnterprise resource planning ERP softwareGeographic information systemWeb platform development software
Tasks · seed anchors for statements
  1. Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
  2. Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
  3. Maintain awareness of new and emerging computational methods and technologies.
  4. Conduct quality analyses of data inputs and resulting analyses or predictions.
  5. Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
  6. Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.
  7. Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
  8. Participate in the preparation of reports or scientific publications.
CIP education codes
26.110426.119927.010127.030127.030327.030427.030527.030627.039927.999930.080130.300130.490130.5001

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith Durable Skills Framework. © 2026 EBSCOed.