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Executive Computer Science Bioinformatics Jobs (NOW HIRING)

Arc Institute

Scientist, Bioinformatics

Palo Alto, CA · On-site

D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field. • 1-2 years of post-Ph.D. experience in bioinformatics, computational biology, genomics, or related ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Winter Park, FL · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

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Executive Computer Science Bioinformatics information

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How much do executive computer science bioinformatics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for executive computer science bioinformatics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Computer Science Bioinformatics vs Data Scientist?

AspectExecutive Computer Science BioinformaticsData Scientist
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; often with leadership experienceDegree in computer science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are common
Work EnvironmentResearch labs, biotech firms, healthcare organizations, often in leadership rolesTech companies, finance, healthcare, with focus on data analysis and modeling
Employer & Industry UsageBiotech, pharmaceuticals, healthcare industry, often in executive or strategic rolesVarious industries including tech, finance, healthcare, focusing on data insights

Executive Computer Science Bioinformatics professionals typically hold leadership roles in biotech and healthcare, focusing on strategic decision-making, while Data Scientists analyze data across multiple industries to generate insights. Both roles require strong technical skills, but their focus and work environment differ significantly.

What cities are hiring for Executive Computer Science Bioinformatics jobs? Cities with the most Executive Computer Science Bioinformatics job openings:
What are the most commonly searched types of Computer Science Bioinformatics jobs? The most popular types of Computer Science Bioinformatics jobs are:
What states have the most Executive Computer Science Bioinformatics jobs? States with the most job openings for Executive Computer Science Bioinformatics jobs include:
Executive Computer Science Bioinformatics jobs near you
Scientist, Bioinformatics

Scientist, Bioinformatics

Arc Institute

Palo Alto, CA • On-site

Full-time

Posted 7 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization focused on the intersection of artificial intelligence and biology, aiming to accelerate scientific progress and understand complex diseases. They are seeking a Bioinformatics Scientist to develop and implement computational approaches for high-throughput biological datasets, collaborating with various teams to analyze data and translate it into actionable insights.
Responsibilities:
• Implement, test, and maintain state-of-the-art analysis pipelines for various high-throughput projects using best software engineering practices.
• Run the production pipelines for large-scale production datasets and provide quality assurance to experimentalists and technologists.
• Analyze large-scale sequencing datasets (single-cell RNA-seq, epigenomics, multi-omics, Perturb-seq, spatial transcriptomics), public and generated in-house.
• Process sequencing data as they come off instruments, monitoring runs, producing actionable results, and troubleshooting issues to ensure timely delivery.
• Communicate analysis results to experimental and computational scientists.
• Partner with experimentalists to troubleshoot analyses and help interpret pipeline outputs.
• Manage code repositories on GitHub, document workflows, and maintain computational environments to ensure pipeline reliability. Support multiple concurrent projects across different Technology Centers, requiring effective context-switching.
Qualifications:
Required:
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field.
• 1–2 years of post-Ph.D. experience in bioinformatics, computational biology, genomics, or related analysis of high-throughput sequencing datasets in an academic, biotech, pharmaceutical, or research institute setting.
• Hands-on experience analyzing single-cell omics data, including scRNA-seq, scATAC-seq, and Perturb-seq, encompassing end-to-end workflows from raw data processing (alignment, quantification and QC) through dimensionality reduction, clustering, cell type annotation, trajectory inference, and differential expression analysis.
• Hands-on experience leveraging AI-assisted development tools (e.g. Claude Code, GitHub Copilot, OpenAI Codex) to accelerate software development workflows, including automated code generation, refactoring, and review; and applying AI-assisted data analysis techniques to extract insights from large or complex datasets.
• Demonstrated ability to collaborate effectively with wet-lab scientists, translating biological questions into computational analyses, communicating quantitative results to non-computational audiences, and iterating on analytical approaches in response to experimental findings; experience participating in cross-functional research teams spanning experimental design, data generation, and computational interpretation.
• High competency with Python, git/GitHub, and Linux.
• Strong statistical, mathematical, and data science skills.
Preferred:
• Familiarity with CRISPR screen analysis, including Perturb-seq experimental design considerations, guide assignment, and perturbation effect modeling.
• Scientific background in one or more disease-relevant areas, including neurodegeneration, cancer biology, or immunology.
• Experience with cloud computing platforms (particularly GCP) for running production-scale pipelines.
• Experience contributing to or maintaining open-source bioinformatics software, including writing tests, documentation, and versioned releases.
• Comfort working with large imaging-based datasets or familiarity with image analysis pipelines is a plus.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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