Data Scientist Contractor, Computational Biology

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Position: Data Scientist Contractor, Computational Biology

Location: Cambridge, MA

Job : 310

# of Openings: 1

Position Title: Data Scientist Contractor, Computational Biology (6-month contract)

Reports To: Senior Director, Head of Data Sciences

Location: Cambridge, MA

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 Pac Bio 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.

• 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 Pac Bio 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.

Education and Experience

• 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 Pac Bio 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,…