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Temporary Computational Biologist information

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$133.5K

How much do temporary computational biologist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for temporary 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 types of projects and collaborations can a Temporary Computational Biologist expect to be involved in?

As a Temporary Computational Biologist, you will typically work on short- to medium-term research projects, often supporting ongoing studies in genomics, transcriptomics, or systems biology. You can expect to collaborate closely with wet-lab scientists, bioinformaticians, and data analysts to analyze large datasets, develop computational pipelines, and interpret results. The role often requires flexibility and strong communication skills to adapt to rapidly changing project needs and effectively integrate feedback from multidisciplinary teams. Temporary assignments provide valuable exposure to diverse research areas and methods, which can help expand your professional network and skill set.

What is the difference between Temporary Computational Biologist vs Data Scientist?

AspectTemporary Computational BiologistData Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsTech companies, finance, healthcare, consulting
Industry UsagePrimarily in biotech, pharma, academiaAcross various industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding roles in biological researchAnalyzing data and deriving insights

Temporary Computational Biologists focus on biological data analysis within research or biotech settings, often working on specific projects. Data Scientists have a broader scope, applying statistical and machine learning techniques across multiple industries. While both roles require strong analytical skills, the Temporary Computational Biologist specializes in biological data, whereas Data Scientists work with diverse datasets in various sectors.

What are Temporary Computational Biologists?

Temporary Computational Biologists are professionals who use computational methods and data analysis to solve biological problems, but are hired for a fixed-term or project-based position. They often work on tasks such as analyzing genetic data, developing algorithms, or interpreting large datasets to support research in fields like genomics, systems biology, or drug discovery. These roles require strong skills in programming, statistics, and biology, and are ideal for individuals seeking short-term opportunities or experience in computational biology.

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

To thrive as a Temporary Computational Biologist, you need a solid background in biology, statistics, and programming, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as R, Python, Linux, and bioinformatics databases, as well as experience with data analysis pipelines, is crucial. Strong problem-solving abilities, attention to detail, and effective communication skills help candidates excel in collaborative scientific environments. These skills and qualities are vital for accurately interpreting complex biological data and contributing to fast-paced research projects.
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Temporary Computational Biologist jobs near you
Data Scientist Contractor, Computational Biology

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA

$64K - $64K/yr

Contractor

Posted 21 days ago

Job description

Position Title: Data Scientist Contractor, Computational Biology (6-month contract)
Reports To: Senior Director, Head of Data Sciences
Location: Cambridge, MA
Join the adventure!
CAMP4 is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology, Bioinformatics, or Systems Biology, to support the processing, analysis, visualization, and interpretation of next-generation sequencing datasets. This assignment will have a particular focus on RNA-seq, scRNAseq, and long-read sequencing data, including Nanopore and PacBio platforms.
The successful candidate will apply state-of-the-art computational tools and, where needed, develop fit-for-purpose analytical approaches to interrogate complex genomics datasets. This role will help generate focused biological hypotheses to support target identification, target validation, and drug discovery programs. The candidate will work closely with experimental biologists and data scientists to systematically apply hypothesis-driven genomics approaches to advance CAMP4’s understanding of transcriptional mechanisms of disease and therapeutic strategies derived from them.

Key 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:
Education amp; Experience
  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
Skills amp; Competencies
  • Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
  • 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.
  • 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.
Compensation:
Pay rate for this role will be determined based on the candidate’s skills and experience.

About CAMP4:
CAMP4 is developing disease-modifying treatments for a broad range of genetic diseases where amplifying healthy protein may offer therapeutic benefits. Our approach amplifies mRNA by harnessing a fundamental mechanism of how genes are controlled. To amplify mRNA, our therapeutic ASO drug candidates target regulatory RNAs (regRNAs), which act locally on transcription factors and are the master regulators of gene expression. CAMP4’s proprietary RAPTM Platform enables the mapping of regRNAs and design of optimal chemistry to generate potent therapeutic candidates to address hundreds of genetic diseases across multiple tissues. Learn more about us at www.camp4tx.com and follow us @CAMP4tx.

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