Bioinformatics Scientist - III (Senior)

Details for the position are as follows: • 23-month contract to start with the possibility of extension or conversion depending on performance and business needs • Rate: $90-106.59 an hour on W2 • Location: Cambridge, MA - 100% onsite • Hours M-F / Standard business hours / 40 hours a week Job Description: The Complex Disease Genetics (CDG) group within Client’s Data, AI and Genome Sciences (DAGS) Department is seeking a motivated scientist to support our Cambridge-based research initiatives in complex disease genetics. We welcome applications from scientists with a graduate degree (PhD or equivalent) in statistical genetics, genetic epidemiology, computational biology, biostatistics, or a related quantitative field with hands-on experience analyzing human genetics and multi-omics data. • Perform statistical genetics analyses for target discovery and validation using human genetics and multi-omics data. • Support the development, implementation, and maintenance of analytical pipelines for reproducible genetic and genomic data analysis. • Conduct genetic association analyses using large-scale biobank data (e.g., UK Biobank, FinnGen, Our Future Health, Alliance for Genomic Discovery). • Integrate and analyze public and proprietary genetic association summary statistics and conduct meta-analyses. • Perform post-GWAS analyses to help elucidate causal mechanisms and prioritize gene targets (e.g., fine mapping, colocalization, Mendelian Randomization, TWAS, polygenic risk prediction). • Assist in integrating genetic association findings with multi-omics data (e.g., RNA-seq, ATAC-seq, QTLs) to support target prioritization. • Stay current with new methods in statistical genetics and participate in evaluating and implementing emerging analytical techniques. • Collaborate with wet-lab biologists, disease area experts, and data scientists to support research and patient stratification strategies. Required Skills: • PhD required. • 5+ years of post PhD experience required. • RNAseq: both bulk and single cell experience required • Multi-omics data analysis and integration required • Genotype data experience required • Transcriptomics analysis required • Proficiency in R, Python, and/or Bash • RNA-Seq, single-cell RNA-Seq required • Experience with high-performance computing (HPC) required • Experience with AWS required • Able to work fully onsite in Cambridge, MA required. • OLINK experience preferred Preferred Experience & Skills • Experience with molecular phenotypes such as transcriptomics or proteomics. • Interest or background in cardiovascular/metabolic diseases, immunology, neuroscience, or other complex diseases. • Experience with AI/ML methodology and/or application to genetics and omics analysis. • Experience with spatial transcriptomics. • Experience with OLINK and proteomics datasets. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy