Description
Apply computational and statistical methods to study biological systems, modeling the origin, relationships, development, anatomy, and functions of organisms using large-scale data.
- • Collaborate with experimental scientists, clinicians, and agencies to design studies and share data, tools, and findings.
- • Program and maintain pipelines to store, process, and analyze high-throughput biological data using HPC or cloud platforms.
- • Curate, integrate, and analyze multi-omic, phenotypic, and environmental datasets to study organismal relationships.
- • Build statistical and machine learning models to infer gene function, pathways, and regulatory networks.
- • Communicate results and data products to collaborators, stakeholders, and, when needed, regulatory bodies and the public.
- • Identify, annotate, and classify genes, genomes, species, and pathways using computational methods.
- • Present research at scientific conferences and publish in peer-reviewed venues.
- • Plan and manage computational biology research projects, budgets, timelines, and collaborations.
- • Model environmental and land-use effects on populations or ecosystems using remote sensing and sensor data.
- • Integrate and analyze environmental sensor streams (e.g., salinity, pH, light, oxygen) with biological observations.
- • Teach, mentor, and supervise students and trainees in computational methods and reproducible research.
- • Lead and mentor bioinformatics analysts, data engineers, and research staff.
- • Develop mechanistic and data-driven models to explore fundamental biological principles and system dynamics.
- • Build population genomic and ecological models to support wildlife or resource management decisions.
- • Prepare statements of work and requests for proposals for data generation, software, or analysis services.
- • Develop decision-support tools and dashboards for renewable resource and conservation planning.
- • Design sampling strategies and data collection protocols; specify metadata and quality control requirements.
- • Develop and validate algorithms and risk models for disease vectors, pests, or invasive species.
- • Prepare technical reports and reproducible analyses; produce documentation and visualizations for diverse audiences.
- • Review proposals, analyses, and reports for methodological rigor, data integrity, and compliance with policies and standards.
- • Write grant proposals to secure funding for computational biology research and infrastructure.
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Last reviewed: Jan 2026
