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Computational Biology Programmer Jobs (NOW HIRING)

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ... Strong programming proficiency in Python and/or R is a plus * Experience building and running ...

Bruker Corporation

Computational Biologist

$101K - $156K/yr

In this role, you will support data analysis for Bruker's spatial biology platforms. You will ... Collaborate with research scientists, software developers, and customer-facing teams to resolve ...

UNAVAILABLE

$101K - $156K/yr

In this role, you will support data analysis for Bruker's spatial biology platforms. You will ... Collaborate with research scientists, software developers, and customer-facing teams to resolve ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Strong software engineering fundamentals and experience working with bioinformatics tools and ... Familiarity with molecular biology workflows and experimental genomics Benefits * Health, dental ...

Bruker

$101K - $156K/yr

In this role, you will support data analysis for Bruker's spatial biology platforms. You will ... Collaborate with research scientists, software developers, and customer-facing teams to resolve ...

Urus Group LP

Computational Biologist

Madison, WI

Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

Urus

Computational Biologist

Madison, WI

Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

AgSource

Computational Biologist

Madison, WI · On-site

Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

Farm Systems

Computational Biologist

Madison, WI · On-site

Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

AgSource

Computational Biologist

Madison, WI

Ph.D. in Computational Biology, Systems Biology, Genome Science, or a related field. * Biology ... Principles of programming, data structures, algorithms, high-performance computing (HPC), and ...

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All JobsComputational Biology Programmer Jobs

Computational Biology Programmer information

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How much do computational biology programmer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for computational biology programmer in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

How do Computational Biology Programmers typically collaborate with biologists and data scientists on research projects?

Computational Biology Programmers frequently work in interdisciplinary teams, collaborating closely with biologists to understand experimental data and research goals, and with data scientists to design and implement analytical pipelines. This collaboration often involves translating biological questions into computational problems, developing custom scripts or algorithms, and interpreting results together. Effective communication is key, as programmers must explain technical concepts to non-programmers and integrate feedback from domain experts. Regular meetings, shared project management tools, and version-controlled code repositories are commonly used to ensure smooth teamwork.

What are the key skills and qualifications needed to thrive as a Computational Biology Programmer, and why are they important?

To thrive as a Computational Biology Programmer, you need strong programming skills (typically in Python, R, or C++), a solid understanding of molecular biology, and a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like BLAST or Ensembl), and experience using version control systems such as Git are commonly required. Analytical thinking, attention to detail, and effective collaboration with interdisciplinary teams are important soft skills. These competencies enable accurate analysis of complex biological data, efficient development of software solutions, and successful teamwork in research or clinical environments.

What are computational biology programmers?

Computational biology programmers are professionals who develop and implement software tools and algorithms to analyze biological data, such as DNA sequences, protein structures, or genomic information. They combine expertise in computer science, mathematics, and biology to create programs that help researchers interpret complex biological systems. Their work is vital in areas like genomics, drug discovery, and systems biology. Computational biology programmers often collaborate with scientists to solve biological problems using computational techniques.

What is the difference between Computational Biology Programmer vs Bioinformatics Analyst?

AspectComputational Biology ProgrammerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Bioinformatics, Computational Biology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, healthcare, biotech firms
Employer & Industry UsageUsed in research and development, drug discovery, genomics projectsUsed in data analysis, genome annotation, clinical research

Computational Biology Programmers and Bioinformatics Analysts often share similar educational backgrounds and work environments. However, Computational Biology Programmers typically focus more on developing algorithms and software tools, while Bioinformatics Analysts concentrate on analyzing biological data. Both roles are essential in biotech and research industries, but their daily tasks and focus areas differ slightly.

More about Computational Biology Programmer jobs
What cities are hiring for Computational Biology Programmer jobs? Cities with the most Computational Biology Programmer job openings:
What states have the most Computational Biology Programmer jobs? States with the most job openings for Computational Biology Programmer jobs include:
What job categories do people searching Computational Biology Programmer jobs look for? The top searched job categories for Computational Biology Programmer jobs are:
Computational Biology Programmer jobs near you
Infographic showing various Computational Biology Programmer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 57% Full Time, 40% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.

Computational Biologist

Transcripta Bio

Palo Alto, CA • On-site

Full-time

Posted 19 days ago

Job description

About Transcripta Bio
Transcripta Bio is a preclinical-stage AI drug discovery company pioneering a patient-first approach to therapeutics. Headquartered in Palo Alto, CA, we have built a proprietary closed-loop discovery engine - comprising our Disease Signature Atlas, Drug-Gene Atlas, and Conductor AI platform - that integrates single-cell patient transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches.
We are looking for a Senior Scientist to become a cornerstone of our wet lab operations. You will own key areas of our experimental platform - from cell culture and high-throughput drug screening to the downstream assays that validate hits and guide program decisions. This is a hands-on role with real scientific ownership, where your work directly shapes the data that powers our discovery engine.
WHAT YOU'LL DO
  • Develop, maintain, and optimize reproducible bioinformatics pipelines for processing, QC, and analysis of high-throughput datasets, including bulk RNA-seq, single-cell RNA-seq, and high-content imaging data.
  • Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene associations, and patterns of drug response across disease-relevant cell models.
  • Integrate data across multiple experimental modalities (transcriptomics, imaging, protein measurements) to build a coherent picture of biology and prioritize therapeutic hypotheses.
  • Partner with wet lab scientists to help design experiments, define data standards, troubleshoot data quality issues, and ensure clean handoffs between experimental and computational workflows.
  • Contribute to the curation and expansion of the Drug-Gene Atlas: ensure that data inputs are well characterized, analysis methods are calibrated, and outputs are interpretable and reliable.
  • Communicate findings clearly through reports, visualizations, and presentations to both computational and non-computational colleagues.
  • Stay current with advances in transcriptomics, single-cell methods, and computational biology; evaluate and adopt new tools and approaches where they add value.
  • Contribute to code review, documentation, and best practices as the team grows.

WHAT YOU'LL BRING
  • PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry.
  • Extensive hands-on experience processing and analyzing bulk and/or single-cell RNA-seq data, from raw reads through QC, normalization, dimensionality reduction, clustering, and differential expression.
  • Experience in relevant scientific packages (e.g., scanpy, pandas, numpy, DESeq2, ggplot2) and comfort working in a Linux/command-line environment. Strong programming proficiency in Python and/or R is a plus
  • Experience building and running reproducible workflows using tools such as Snakemake, Nextflow, or equivalent; familiarity with version control (Git) and best practices for collaborative code development.
  • Exposure to high-throughput or perturbational screening datasets (chemical, genetic, or combined) is highly desirable.
  • A biologically grounded mindset: you approach data with mechanistic questions in mind, not just statistical outputs.

NICE TO HAVE
  • Experience analyzing data from functional genomics assays (e.g., ATAC-seq, ChIP-seq, perturb-seq, or pooled CRISPR screens).
  • Familiarity with spatial transcriptomics or multimodal data integration approaches.
  • Experience working with or alongside ML/AI teams; familiarity with applying machine learning methods to biological data.
  • Background in rare genetic disease, neurodegeneration, or other genetically defined disease areas.
  • Experience in cloud-based compute environments (AWS, GCP, or equivalent)

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