Director, Bioinformatics

Precision Point; San Francisco (CA); On-site; USD 250,000 - 400,000; Full time

Job summary

Precision Point seeks an experienced scientific leader to build and lead the bioinformatics and data science capabilities underpinning gene editing and protein design programs. You’ll operate at the intersection of computational biology, scientific software, and experimental biology to transform complex datasets into clear, actionable insights.

You’ll define analytical strategy, guide a multidisciplinary team, and oversee scalable NGS pipelines, data platforms, and analytic tools, partnering

Qualifications

• PhD or MS in bioinformatics, computational biology, genomics, CS, or data science.
• 10+ years in biotech/pharma research or genomics.
• Experience leading bioinformatics and scientific software teams.
• Proven ability to translate complex data into scientific insights.
• Experience building production-quality bioinformatics pipelines and data platforms.

Responsibilities

• Define strategy for bioinformatics, data science, NGS analytics, and scientific data platforms.
• Build, lead, and mentor a multidisciplinary team of computational scientists and engineers.
• Oversee scalable pipelines supporting gene editing, protein engineering, screening, and high-throughput workflows.
• Develop systems that organize and serve curated data through databases, APIs, dashboards, and reports.
• Lead analyses that translate complex datasets into scientific conclusions and program recommendations.
• Partner with biology teams to interpret results, troubleshoot assays, and optimize experimental design.
• Collaborate with machine learning teams to curate datasets and define training labels, benchmarks, and evaluation frameworks.
• Establish best practices for data provenance, reproducibility, testing, documentation, and workflow validation.
• Communicate results and recommendations to scientific, technical, partnership, and executive stakeholders.
• Remain technically engaged in high-priority analyses, architectural decisions, and complex troubleshooting.

Skills

Python/R programming

Leadership

Analytical thinking

Communication

Education

PhD or MS in related field

Tools

Workflow orchestration

Cloud computing

SQL

Data modeling

APIs

Job description

My client is a well-funded, venture-backed biotechnology organization applying advanced computational methods to accelerate scientific discovery and innovation in the life sciences.

We're seeking an experienced scientific leader to build and lead the bioinformatics and data science capabilities that support the Company's gene editing and protein design programs. You'll work at the intersection of computational biology, scientific software, and experimental biology to ensure that complex datasets are transformed into clear, actionable insights.

In this role, you'll define analytical and technical strategy, lead a multidisciplinary team, and oversee scalable NGS pipelines, scientific data platforms, and analytical tools. You'll partner closely with experimental, engineering, and computational teams to accelerate design-build-test-learn cycles.

Responsibilities

• Define the strategy and roadmap for bioinformatics, data science, NGS analytics, and scientific data platforms
• Build, lead, and mentor a multidisciplinary team of computational scientists and engineers
• Oversee scalable pipelines supporting gene editing, protein engineering, screening, and other high-throughput workflows
• Develop systems that organize and serve curated data through databases, applications, APIs, dashboards, and reports
• Lead analyses that translate complex datasets into scientific conclusions and program recommendations
• Partner with biology teams to interpret results, troubleshoot assays, and optimize experimental design
• Collaborate with machine learning teams to curate datasets and define training labels, benchmarks, and evaluation frameworks
• Establish best practices for data provenance, reproducibility, testing, documentation, and workflow validation
• Communicate results and recommendations to scientific, technical, partnership, and executive stakeholders
• Remain technically engaged in high-priority analyses, architectural decisions, and complex troubleshooting

Qualifications

• PhD or MS in Bioinformatics, Computational Biology, Genomics, Computer Science, Data Science, or a related field
• 10+ years of relevant experience in biotechnology, pharmaceutical research, genomics, or a related field
• Experience building and leading bioinformatics, computational biology, data science, or scientific software teams
• Deep expertise analyzing NGS datasets and designing analytical approaches for complex biological experiments
• Experience developing production-quality bioinformatics pipelines and scientific data platforms
• Strong programming skills in Python, R, or comparable languages
• Experience with workflow orchestration, cloud computing, SQL, data modeling, and reproducible software development
• Strong understanding of genomics, molecular biology, statistics, and experimental design
• Proven ability to transform complex data into clear scientific insights and recommendations
• Strong cross-functional leadership and communication skills
• Ability to set strategic direction while operating effectively in a hands-on startup environment

Preferences, but not required

• Experience with gene editing, genomic medicine, synthetic biology, or protein engineering
• Experience building scientific data products for diverse research stakeholders
• Familiarity with LIMS and ELN platforms, laboratory data integration, and sample tracking
• Experience applying machine learning or statistical modeling to biological datasetsTracking record of developing widely adopted scientific software or bioinformatics tools