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Temporary Computational Scientist Jobs (NOW HIRING)

University of Colorado

Temporary Researcher

Boulder, CO · On-site

$20/hr

Job Summary The Peleg Lab at the BioFrontiers Institute is seeking a Temporary Researcher to help ... science. * Demonstrated ability to code (building, running, and analyzing computational models)

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$111.3K

$137.5K

How much do temporary computational scientist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for temporary computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.
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Temporary Computational Scientist jobs near you
Infographic showing various Temporary Computational Scientist job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Data Scientist Contractor, Computational Biology

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA • On-site

$65K - $65K/yr

Full-time

Posted 28 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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