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Associate Computational Biologist Jobs (NOW HIRING)

Merck & Co.

$62K - $63K/yr

The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist to join our Translational Genome Analytics (TGA) team in Cambridge, MA. In this role, you will lead the ...

Merck & Co.

$64K - $65K/yr

The Data, AI and Genome Sciences (DAGS) department seeks a talented computational biologist to join our Translational Genome Analytics (TGA) team in Cambridge, MA. In this role, you will lead the ...

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How much do associate computational biologist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for associate computational biologist in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the associate computational biologist position, and why are they important?

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

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What cities are hiring for Associate Computational Biologist jobs? Cities with the most Associate Computational Biologist job openings:
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Associate Computational Biologist jobs near you
Infographic showing various Associate Computational Biologist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA • On-site

$65K - $65K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
CAMP4 Therapeutics is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology. The role focuses on processing, analyzing, visualizing, and interpreting next-generation sequencing datasets to support drug discovery programs and advance understanding of disease mechanisms.
Responsibilities:
• Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data.
• Execute bioinformatics analyses according to predefined analysis plans, including quality control, alignment, quantification, differential expression analysis, isoform/transcript analysis, splicing analysis, and integrative interpretation of results.
• Collaborate closely with cross-functional teams, including experimental biologists, computational scientists, and project teams, to develop, refine, and execute research plans.
• Provide clear biological interpretation and scientific context for computational results to support target discovery, validation, and mechanistic understanding.
• Evaluate, implement, and apply new bioinformatics methods, tools, and emerging technologies relevant to transcriptomics, long-read sequencing, and functional genomics.
• Develop scripts, workflows, and software tools where gaps exist to enable reproducible and scalable data analysis.
• Provide conceptual input into analysis plans, including analytical strategy, study design, prioritization, and interpretation of key results.
• Participate in cross-functional discussions to refine project goals, identify key priorities, and communicate findings effectively to both computational and experimental scientists.
• Demonstrate strong ownership, attention to detail, and a sense of urgency in delivering high-quality analyses that support the discovery of breakthrough medicines for patients.
Qualifications:
Required:
• PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
• Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
• Solid background in statistics and strong programming skills in Python and/or R.
• Experience working in a Linux environment and using high-performance computing clusters and/or cloud computing platforms such as AWS.
• Familiarity with human genome annotation resources, biological pathway databases, and systems biology concepts.
• Strong commitment to reproducible research, best practices in software development, documentation, and version control.
• Excellent collaboration and communication skills, with the ability to explain computational results clearly to experimental scientists and cross-functional teams.
• Strong attention to detail, high professional integrity, and commitment to excellence in execution.
• Creative and solution-oriented with the ability to develop fit-for-purpose approaches for diverse data and project needs.
• Passionate about applying computational biology and genomics to translate fundamental scientific discoveries into medicines that improve patients’ lives.
Preferred:
• Familiarity with long-read sequencing tools and workflows for transcript discovery, isoform characterization, or full-length transcript analysis is highly desirable.
• Experience with additional functional genomics datasets, such as ATAC-seq, ChIP-seq, and PRO-seq.
Company:
CAMP4 Therapeutics is a biotechnology company that uses RNA to restore healthy gene expression. Founded in 2016, the company is headquartered in Cambridge, USA, with a team of 11-50 employees. The company is currently Early Stage.

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