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Bioinformatics Scientists

SOC 19-1029.01Job Zone 5 · Extensive Preparationv.26.05

Context coveredThis framework covers bioinformatics research practice from supervised graduate-level data processing through executive leadership of large-scale computational genomics programs in academic, clinical, and applied research environments.

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. Molecular datasets from genomic sequencing runs — process and quality-filter using established bioinformatics pipelines under close faculty or senior scientist supervision.
  2. Existing bioinformatics software tools — install, configure, and execute on a university HPC cluster following documented protocols and lab-specific workflows.
  3. Scientific literature on emerging biochemistries and sequencing technologies — read, summarize, and present key findings at weekly lab journal-club meetings.
  4. Relational databases for biological data storage — populate and query using standard SQL commands under guidance from a senior bioinformatician.
  5. Raw microarray or RNA-seq expression data — compile and format into analysis-ready matrices by applying prescribed preprocessing scripts in a supervised research environment.
  6. Object-oriented programming languages such as Python or R — write basic scripts to automate repetitive data-formatting tasks within an established laboratory codebase.
  7. Research findings and preliminary analyses — document clearly in internal project reports following laboratory style guidelines and under mentor review.
  8. Computational strategies proposed by research collaborators — assist in evaluating feasibility by reviewing relevant literature and running benchmark tests under direction.
  9. Genome annotation reference files and public biological databases — retrieve, cross-reference, and organize for use in ongoing research projects under senior oversight.
  10. Mathematical and statistical concepts underlying sequence alignment or differential expression — apply foundational methods correctly when executing standard analytical workflows in a research lab setting.
Developing
Mid-level / Established
  1. Large-scale genomic or proteomic datasets — independently analyze end-to-end using established pipelines, adapting parameters to suit specific clinical or basic research questions with minimal oversight.
  2. Custom Python, R, or Perl scripts — develop and test to extend existing analytical tools and automate multi-step workflows within an active bioinformatics research group.
  3. Relational and NoSQL databases for molecular data — design schemas, optimize queries, and maintain data integrity in support of multi-investigator research projects.
  4. Research collaborators with domain-specific biology questions — consult with to translate scientific objectives into concrete computational strategies and recommend appropriate software solutions.
  5. Gene expression profiling or structural bioinformatics datasets — compile, curate, and version-control using reproducible data management practices in a collaborative laboratory environment.
  6. New instrumentation platforms or sequencing chemistries — evaluate by reading primary literature and attending professional conferences, then brief the research team on analytical implications.
  7. Bioinformatics analysis results — communicate through clearly written manuscript sections and oral presentations at departmental seminars or regional scientific conferences.
  8. Systems analysis approaches — apply to identify bottlenecks in existing computational workflows and propose targeted improvements within the constraints of available HPC resources.
  9. Data models for multi-omics integration projects — construct and validate using enterprise database management software, ensuring scalability for growing dataset volumes.
  10. Time and project priorities across concurrent research tasks — manage independently using structured planning methods to meet grant-driven milestones in a fast-paced research environment.
Proficient
Senior / Expert IC
  1. Novel computational algorithms for sequence analysis or structural prediction — design, implement, and benchmark autonomously to address research goals that exceed the capability of existing published tools.
  2. Complex multi-omics datasets spanning genomics, transcriptomics, and proteomics — integrate and interpret across full analytical scope to generate actionable biological insights for clinical or translational research programs.
  3. Custom bioinformatics applications — architect and develop end-to-end using object-oriented or functional programming frameworks, deploying on cloud or HPC infrastructure with robust documentation and version control.
  4. Interdisciplinary research teams including wet-lab scientists, clinicians, and computational staff — consult with autonomously to diagnose analytical problems, evaluate technology-based solutions, and guide study design decisions.
  5. Peer-reviewed scientific publications and conference presentations — author and deliver as lead or corresponding scientist, translating complex computational findings for broad life-science audiences.
  6. Multi-terabyte genomic databases and data warehouses — design, optimize, and govern using advanced DBMS and portal server technologies to support institution-wide research data needs.
  7. Emerging biochemical assays and bioinformatics software releases — critically evaluate for methodological rigor, rapidly adapt laboratory workflows, and mentor junior staff on adoption strategies.
  8. Analytical or scientific software platforms — customize and extend through API integration and enterprise application integration tools to meet highly specific and non-routine research requirements.
  9. Systems-level evaluation of computational pipelines — perform to assess performance, reproducibility, and biological validity across diverse datasets and experimental conditions in a high-stakes research environment.
  10. Mathematical modeling and statistical inference frameworks — apply with full autonomy to develop quantitative hypotheses and validate predictions against experimental molecular biology data.
Advanced
Lead / Principal / Executive
  1. Institutional bioinformatics research strategy — define and champion across departments, securing grant funding and shaping long-term scientific direction at organizational scale.
  2. Novel analytical frameworks and computational methodologies — pioneer and publish as senior or principal author, establishing new standards of practice that influence the broader bioinformatics field.
  3. Cross-functional research programs integrating computational biology, clinical genomics, and software engineering teams — lead by setting vision, resolving high-stakes scientific conflicts, and ensuring organizational alignment.
  4. Junior scientists, postdoctoral fellows, and graduate students — mentor systematically by designing individualized learning strategies and providing structured feedback that accelerates career development in bioinformatics.
  5. Enterprise-scale data infrastructure encompassing databases, HPC clusters, and cloud platforms — oversee architecture and governance decisions that enable institution-wide multi-omics research initiatives.
  6. Scientific community engagement through keynote presentations, society leadership, and editorial roles — sustain as a recognized domain authority, disseminating organizational research impact at international conferences.
  7. Strategic partnerships with pharmaceutical, clinical, and technology industry stakeholders — establish and steward by translating organizational bioinformatics capabilities into collaborative applied-research agreements.
  8. Ethical, regulatory, and data-governance frameworks for large-scale genomic and patient-linked datasets — develop and enforce at the organizational level, ensuring compliance with institutional and federal standards.
  9. Workforce capability in computational biology — assess organization-wide gaps and design training programs and hiring roadmaps that build sustained institutional expertise across all career levels.
  10. Emerging technology landscapes spanning next-generation sequencing, AI-driven structural biology, and single-cell methods — evaluate strategically and determine organizational investment priorities that position the institution at the scientific frontier.

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. Literature synthesis via AI — uses large language models to summarize genomic research papers and extract key findings, cross-checking outputs against primary sources before incorporating them into reports 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. Basic sequence query delegation — submits well-defined BLAST or alignment queries to AI-assisted bioinformatics pipelines, then manually reviews the returned hits for biological plausibility Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Developing
  1. Omics data preprocessing — directs AI tools to perform quality filtering, normalization, and dimensionality reduction on raw microarray or RNA-seq datasets, retaining judgment over parameter selection and biological interpretation 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. Script generation and customization — prompts an AI coding assistant to scaffold Python or R analysis scripts for genomic workflows, then audits and modifies the generated code to meet project-specific scientific requirements 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. Research communication drafting — uses AI to produce first drafts of methods sections and results summaries, then edits for scientific accuracy and appropriate technical depth before submission or presentation Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Proficient
  1. End-to-end pipeline orchestration — directs AI agents through multi-step computational workflows—from raw sequencing data ingestion through variant annotation—verifying each stage's outputs against biological ground truth and published benchmarks 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..
  2. Novel tool prototyping — prompts AI assistants to generate algorithmic skeletons for custom analytical tools, then designs the architecture, evaluates correctness, and integrates the tools into reproducible research environments 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-dataset integration — leverages AI-assisted harmonization routines to merge proteomics, transcriptomics, and clinical datasets, while applying domain expertise to resolve ontology conflicts and batch effects the AI cannot detect 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..
  4. Consultation support synthesis — uses AI to model computational strategy options before advising research collaborators, critically evaluating the AI-generated recommendations against project constraints and experimental design Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Advanced
  1. Automation boundary governance — defines which bioinformatics tasks are routed to autonomous AI execution versus human-in-the-loop review, drawing on the occupation's Q2 augmented profile to balance the 80.9% time-saving potential against irreducible expert judgment requirements 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. AI model validation frameworks — designs empirical benchmarking protocols to evaluate LLM and ML tool outputs on novel genomic datasets, publishing results that establish reliability standards for AI-assisted discovery within the field 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..
  3. Organizational AI strategy leadership — advises institutions and funding bodies on capability gaps between current AI autonomy levels and the complexity of open biological problems, translating quantitative performance metrics into research infrastructure decisions 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..
Evidence pack
AEI usage
Task observations: 6607
Augment share: 95%
Time saved: 80.9%
AI autonomy: 3.51
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Data Science and Analysis
data_science_and_analysis
Sources: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.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). 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.

1Communication9 statements
Emerging
  1. Scientific literature synthesis — summarizes findings from genomic or proteomic research papers and conveys key concepts to lab colleagues during team meetings 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 documentation — records computational pipeline steps and parameter choices in written lab notes to support 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.
Developing
  1. Research report drafting — composes structured project reports describing bioinformatics analyses, methods, and preliminary findings for internal stakeholders 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 explanation — translates computational results from sequence alignment or gene expression analyses into accessible language for wet-lab collaborators 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 authorship — writes and revises peer-reviewed manuscripts presenting novel bioinformatics methods or large-scale genomic findings for submission to scientific journals 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. Conference presentation delivery — presents complex multi-omics analyses through structured talks and poster sessions at professional bioinformatics conferences, responding to expert questions with precision 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. Stakeholder consultation communication — elicits research goals and computational constraints from principal investigators and clinical researchers through structured discovery conversations 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. Grant and proposal writing — authors persuasive scientific narratives describing innovative computational strategies and expected biological impact for major funding agencies 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 communication leadership — establishes communication standards and reporting templates across multi-institutional genomics consortia to ensure consistent data interpretation 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.
2Leadership8 statements
Emerging
  1. Pipeline ownership — takes initiative in maintaining and documenting an assigned bioinformatics workflow, flagging errors and proposing incremental improvements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Literature-driven initiative — independently identifies emerging tools or algorithms relevant to active research projects and proposes their evaluation to senior scientists 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. Project coordination — organizes timelines and deliverables for discrete bioinformatics sub-projects, coordinating data handoffs between computational and experimental team members Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Junior mentorship — guides graduate students or research assistants through the application of standard genomic analysis pipelines, providing structured feedback on their outputs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Research team direction — leads a bioinformatics team in the design and execution of large-scale genomic or proteomic studies, assigning analytical tasks aligned to individual expertise 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. Technology adoption leadership — evaluates and champions the integration of new sequencing technologies or cloud-based computing platforms, driving consensus among scientific staff 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. Scientific program leadership — defines the strategic computational research agenda for a department or center, securing resources and building team capacity to pursue high-impact genomics questions 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. Community leadership — organizes workshops, working groups, or open-source software communities that shape best practices across the bioinformatics field Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
3Metacognition8 statements
Emerging
  1. Analytical self-assessment — identifies gaps in understanding of statistical genomics concepts and selects targeted learning resources such as online courses or textbooks to address them Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Workflow reflection — reviews completed analysis scripts to recognize inefficiencies in code structure or data handling and notes corrective strategies Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Learning strategy calibration — adjusts approach to mastering new programming languages or bioinformatics frameworks based on evaluation of previous skill-acquisition attempts Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Assumption monitoring — tracks statistical and biological assumptions embedded in genomic analysis decisions and evaluates whether those assumptions remain valid as datasets evolve 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. Cognitive load management — structures complex multi-step bioinformatics projects into modular workflows that prevent analytical errors caused by overextension of working memory Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Method selection reflection — systematically evaluates the rationale behind choice of alignment algorithm, normalization method, or statistical test before committing to an analytical path 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. Epistemic calibration — models intellectual humility in scientific discourse by publicly distinguishing between well-supported computational conclusions and speculative interpretations of biological data Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Mentorship in self-regulation — coaches early-career bioinformaticians to develop personal frameworks for monitoring their own analytical reasoning and identifying blind spots in computational thinking Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
4Critical Thinking9 statements
Emerging
  1. Data quality evaluation — applies basic quality control metrics to raw sequencing data, identifying common artifacts such as low-quality base calls or adapter contamination 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. Algorithm comparison — contrasts two or more established bioinformatics tools for a given task and articulates trade-offs in sensitivity, specificity, and computational cost 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. Statistical assumption analysis — evaluates whether distributional assumptions of differential expression or variant-calling models are met by a given dataset before proceeding with inference 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. Confounding variable identification — detects sources of systematic bias such as batch effects or population stratification in genomic datasets and applies appropriate correction strategies 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. Multi-evidence integration — synthesizes findings from genomic, transcriptomic, and proteomic datasets to construct well-supported mechanistic hypotheses about biological pathways 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. Analytical strategy design — evaluates competing computational approaches for a novel research problem, selects the most rigorous method, and justifies the decision with explicit evidence and reasoned argument 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. Result validation reasoning — identifies when bioinformatics outputs are inconsistent with biological expectations and constructs systematic diagnostics to trace the source of discrepancy Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Framework-level critique — evaluates foundational assumptions of widely used bioinformatics paradigms, identifies limitations, and publishes novel methodological improvements addressing those gaps 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. Peer review leadership — provides rigorous critical analysis of submitted manuscripts and grant applications, identifying logical gaps in computational reasoning that escape less experienced reviewers 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.
5Collaboration8 statements
Emerging
  1. Team data sharing — contributes processed genomic datasets and accompanying metadata to shared repositories in formats agreed upon by the research team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Interdisciplinary listening — attends joint meetings with molecular biologists and clinicians, accurately recording biological requirements that will inform computational design choices 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. Collaborative tool customization — works alongside experimental scientists to adapt existing bioinformatics software to meet the specific data characteristics of a shared research project 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-functional problem solving — partners with database administrators and software engineers to design scalable data models supporting multi-user genomics research platforms 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. Consortium collaboration — coordinates analytical contributions across multiple institutional partners in large-scale genomics studies, resolving conflicting methodological preferences through evidence-based negotiation 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. Clinical-computational bridging — collaborates with clinicians and biostatisticians to translate molecular findings from patient genomic data into clinically actionable insights 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. Collaborative network building — establishes and sustains multi-institutional partnerships for open-science genomics initiatives, creating shared infrastructure and governance structures that enable productive long-term collaboration Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Conflict resolution in science teams — mediates methodological disagreements among senior scientists by facilitating structured analytical comparisons and guiding teams toward consensus around evidence Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
6Character8 statements
Emerging
  1. Data integrity commitment — accurately records all analysis steps, parameter changes, and intermediate results without omission, ensuring a truthful audit trail for genomic research Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Authorship ethics awareness — identifies appropriate authorship contribution standards for scientific publications and applies them consistently when contributing to multi-author bioinformatics papers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Responsible data handling — applies institutional data governance policies when managing sensitive clinical genomic datasets, including adherence to de-identification and access control 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. Transparent reporting — discloses analytical limitations, failed approaches, and negative results in research reports rather than selectively presenting only favorable outcomes 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. Research ethics stewardship — ensures all genomic data use complies with IRB approvals, data-sharing agreements, and applicable privacy regulations throughout the full research lifecycle Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Accountability in computational decisions — owns errors in pipeline design or statistical analysis, communicates them promptly to collaborators, and implements corrective actions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Ethical leadership in genomics — shapes institutional policies on responsible genomic data use, equitable access to computational tools, and ethical implications of precision medicine research Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Scientific integrity modeling — demonstrates and advocates for rigorous reproducibility standards, open-data practices, and transparent methodology reporting as a visible norm within the scientific community 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.
7Creativity8 statements
Emerging
  1. Analytical adaptation — modifies an existing bioinformatics pipeline to accommodate a non-standard data format or experimental design not addressed by default tool settings 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 ideation — proposes novel graphical representations of genomic data distributions or pathway networks to reveal patterns not visible through standard plots Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Custom algorithm prototyping — develops prototype scripts combining multiple statistical or machine learning techniques to address a specific gap in available genomic analysis tools 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-domain method transfer — applies analytical techniques from adjacent fields such as natural language processing or network theory to solve novel problems in genomic data interpretation 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. Novel software development — designs and implements original bioinformatics applications that address unmet scientific needs, from requirement gathering through testing and deployment 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. Innovative analytical framework design — creates new computational strategies for integrating heterogeneous multi-omics data types that exceed the capabilities of existing published approaches 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. Field-advancing methodology — conceives and publishes transformative computational methods that redefine how the bioinformatics community approaches fundamental problems such as genome annotation or structural prediction 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 research agenda setting — generates visionary research directions that open entirely new computational biology subfields by combining insights from disparate scientific disciplines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset8 statements
Emerging
  1. Technology adoption willingness — engages with unfamiliar programming languages or bioinformatics platforms when research needs require it, treating the learning curve as a productive challenge Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Feedback receptivity — incorporates reviewer critiques of analysis code or manuscript drafts without defensiveness, using feedback to improve scientific output quality 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. Iterative pipeline improvement — treats failed or low-performing bioinformatics runs as diagnostic information and systematically refines algorithms, parameters, or preprocessing steps in response Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Conference learning orientation — attends professional bioinformatics conferences with a structured goal of identifying emerging methods to integrate into active research, rather than solely presenting existing work 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. Continuous literature engagement — maintains a disciplined reading practice across genomics, machine learning, and biostatistics literature to continuously update analytical competency as fields evolve 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. Mastery through challenge-seeking — voluntarily takes on computationally demanding research questions at the boundary of current expertise, using the difficulty to accelerate skill development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Growth culture cultivation — creates lab or team environments where analytical failure is treated as a learning asset, establishing norms of iterative experimentation and open post-mortem analysis of unsuccessful approaches Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Lifelong learning modeling — publicly documents personal learning journeys in adopting new technologies such as long-read sequencing analysis or deep learning frameworks, inspiring early-career scientists to embrace continuous development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
9Mindfulness8 statements
Emerging
  1. Focused analysis practice — applies deliberate attention management techniques during error-prone tasks such as manual code review or database schema design to reduce careless mistakes Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Emotional regulation in peer review — maintains equanimity when receiving critical feedback on computational methods, pausing before responding to ensure replies are constructive rather than reactive Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Cognitive fatigue awareness — recognizes signs of diminished analytical judgment during extended genomic data processing sessions and implements structured breaks to maintain output quality Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Intentional priority setting — reviews competing computational project demands at the start of each work cycle and deliberately allocates attention to highest-impact tasks before lower-priority requests Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Distraction management in complex analysis — structures focused work blocks for intricate multi-omics integration tasks, actively managing notification environments to protect deep analytical concentration Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Present-moment precision in data review — applies heightened attentional awareness when reviewing genomic variant calls or annotation outputs where a single overlooked error propagates through downstream analyses 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. Team mindfulness modeling — introduces structured reflection practices such as pre-meeting alignment protocols or post-project retrospectives that improve collective attention and deliberateness in high-stakes bioinformatics research contexts Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Stress regulation under research pressure — maintains consistent analytical rigor and ethical decision-making under high-pressure conditions such as grant deadlines or clinical data release timelines, modeling regulated professional conduct Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
10Fortitude8 statements
Emerging
  1. Debugging persistence — sustains focused troubleshooting effort through extended pipeline errors or software environment failures without disengaging from the problem Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Ambiguity tolerance in data interpretation — continues working productively with incomplete or noisy genomic datasets rather than waiting for ideal data conditions that may not materialize Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Project setback recovery — resumes and reorients a bioinformatics project after significant data loss, negative results, or major methodological revision without loss of scientific momentum Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Rejection resilience — revises and resubmits manuscripts or grant proposals after critical reviewer rejection, using the critique to strengthen the scientific contribution 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. Sustained high-complexity engagement — maintains intellectual rigor and methodological discipline across months-long large-scale genomics studies involving repeated cycles of failure and refinement 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. Courage in scientific dissent — publicly challenges flawed but widely accepted computational methods or published findings when evidence warrants, accepting professional risk in defense of scientific integrity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Resilient research leadership — steers research programs through prolonged resource constraints, technological disruptions, or paradigm shifts in genomics without abandoning long-term scientific vision Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Adversity modeling for teams — openly discusses personal experiences of scientific failure and recovery with junior researchers, normalizing perseverance as a professional competency in computational biology careers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. 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.
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O*NET enrichment · skillscrosswalk.com

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Source anchors that ground each statement

Related titles
Bioinformatician · Bioinformaticist · Bioinformatics Analyst · Bioinformatics Associate · Bioinformatics Computer Scientist · Bioinformatics Consultant · Bioinformatics Data Analyst · Bioinformatics Developer · Bioinformatics Engineer · Bioinformatics Research Scientist · Bioinformatics Research Specialist · Bioinformatics Scientist
RAPIDS apprenticeships
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O*NET skills
Reading ComprehensionCritical ThinkingComplex Problem SolvingActive ListeningSpeakingWritingScienceJudgment and Decision MakingActive LearningMathematicsTime ManagementMonitoringSystems AnalysisSystems EvaluationSocial PerceptivenessLearning StrategiesCoordinationInstructing
Knowledge domains
BiologyComputers and ElectronicsMathematicsEnglish LanguageChemistryEducation and TrainingAdministrative
Abilities
Written ExpressionWritten ComprehensionOral ComprehensionInformation OrderingProblem SensitivityDeductive ReasoningOral ExpressionInductive ReasoningFluency of IdeasMathematical Reasoning
Work styles
Intellectual CuriosityAttention to DetailInnovationAdaptabilityDependabilityAchievement Orientation
Technology
Analytical or scientific softwareData base user interface and query softwareObject or component oriented development softwareData base management system softwarePortal server softwareOperating system softwareDevelopment environment softwareWeb platform development softwareApplication server softwareEnterprise application integration software
Tasks · seed anchors for statements
  1. Develop new software applications or customize existing applications to meet specific scientific project needs.
  2. Communicate research results through conference presentations, scientific publications, or project reports.
  3. Create novel computational approaches and analytical tools as required by research goals.
  4. Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
  5. Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
  6. Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
  7. Develop data models and databases.
  8. Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
CIP education codes
26.010126.020426.020726.020826.020926.021026.029926.030126.030526.030726.030826.039926.040126.040326.040426.040626.040726.049926.050326.050426.050526.050626.050726.050826.050926.070226.070726.080126.080226.080326.080426.080526.080726.089926.091026.100126.100426.110126.110226.110426.119926.120126.130126.130226.130326.130426.130526.130626.130726.130826.131026.131126.139926.150126.150226.150326.150426.159926.999927.030630.190130.270130.320142.2706

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.