Computational Genetic Data Scientist

Position: Computational Genetic Data Scientist (Onsite) Location: Cambridge, MA Client: Leading Biopharma Company The Precision Genetics group within the Data and Genome Sciences department is hiring a Ph.D.-level contractor to join its Computational Precision Genetics team.

This is a 100% onsite role in Cambridge, MA (no remote, no BS/MS candidates). Qualifications & Skills: Ph.D.

in Genetics, Genomics, Computational Biology, or related field 5+ years of hands-on experience in genetic data analysis Expertise in variant analysis, population genetics, and genomic annotations Proficient in R, Python, Bash, and familiar with HPC and AWS Cloud (IAM, S3) Strong understanding of statistical methods and data integration Excellent documentation and communication skills Preferred: Experience with real-world genetic data Familiarity with tools like GATK, bcftools, ANNOVAR, PLINK, QTL analysis, etc.

Understanding of statistical genetics and machine learning Responsibilities: Perform QC and advanced analysis on genetic datasets Retrieve and integrate data from databases (e.g., gnomAD, ClinVar, Ensembl, GTEx) Conduct variant calling, genotype imputation, QTL & population genetics analysis Integrate omics data (genomic, epigenomic, transcriptomic, proteomic) Document workflows and results clearly and efficiently If you're a motivated Ph.D.