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Computer Science Bioinformatics Jobs (NOW HIRING)

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 ...

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

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.

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.

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

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.

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.

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.

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.

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

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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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for computer science bioinformatics in the United States is $42.79, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $43.03 per hour, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace bioinformatics professionals. Bioinformatics jobs require expertise in biology, programming, and data interpretation, which AI cannot fully replicate. Instead, AI serves as a complementary skill for bioinformaticians to improve efficiency and discovery.

How is computer science used in bioinformatics?

In bioinformatics, computer science is used to develop algorithms, software, and databases for analyzing biological data such as DNA, RNA, and protein sequences. Bioinformatics professionals often utilize programming languages like Python or R, and tools like machine learning and data mining to interpret complex biological information efficiently.

What are some typical daily responsibilities for someone working in Computer Science Bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in the Computer Science Bioinformatics position, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What biology jobs pay over $100k?

In bioinformatics and related biology fields, roles such as senior bioinformatics scientist, computational biologist, and data scientist often have salaries exceeding $100,000 annually. These positions typically require advanced skills in programming, data analysis, and knowledge of biological data, often with a master's or Ph.D. degree. Experience, industry sector, and geographic location can influence salary levels.

What is a Computer Science Bioinformatics job?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What jobs can I get with bioinformatics?

With a background in bioinformatics, common jobs include bioinformatics analyst, computational biologist, research scientist, and data analyst in healthcare, pharmaceuticals, or biotech companies. These roles often require skills in programming, data analysis, and knowledge of biological data, and may involve working with tools like R, Python, or specialized bioinformatics software.
What cities are hiring for Computer Science Bioinformatics jobs? Cities with the most 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 Computer Science Bioinformatics jobs? States with the most job openings for Computer Science Bioinformatics jobs include:
Scientist, Bioinformatics

Scientist, Bioinformatics

Arc Institute

Palo Alto, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


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.