Duration: 9 months Work schedule: • M-F, 9-5 (flexible). Description: Responsibilities include support of computational research priorities associated with oncology drug discovery programs. This variably entails querying large-scale cancer genomics resources for mutation/expression distributions, assessing internally generated omics datasets to derive biological insights, and investigating mechanisms that may affect clinical outcomes. Responsibilities also include informing discovery peers on computational opportunities for ongoing programs, providing feedback on experimental design, and communicating results to diverse scientific backgrounds. Qualifications: • Ph.D. OR a Master’s degree with 1-3 years of industry work experience OR a bachelor’s degree with 6-8 years of experience in bioinformatics, computational biology, genomics, computer science, cancer biology, or immunology required. • Oncology experience is required, preferably with knowledge of immuno-oncology, immunology, and/or cancer genomics. • Experience with next-generation sequence (NGS) analysis (RNAseq, WES, etc.) and a strong understanding of principles behind raw data processing for common NGS data types are required. • R fluency is required, Python competence preferred. • Experience with Linux, on-premise HPC, or AWS required. • Strong data visualization skills (ggplot2, plotly, etc) is required. • Exceptional communication and collaboration required. • Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc. preferred. • Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) preferred. • Prior experience in the pharmaceutical industry or a related field preferred. Education and experience: • PhD degree in bioinformatics, computational biology, genomics, computer science, cancer biology, immunology, or a related field. • Master’s degree with typically 3-5 years of experience. • Bachelor’s degree with typically 6-8 years of experience. Top skill requirements: • NGS analysis (RNAseq, WES, etc.). • R programming. • Experience with Linux, HPC clusters, or AWS. • Oncology background, with knowledge in immune-oncology, immunology and/or cancer genomics. • Communication. Preferred (but not required) skills: • Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc. • Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx). • Omics data workflow and computational pipeline development. • Prior experience in the pharmaceutical industry or a related field preferred. Other notable details: • Support of programs in early to late-stage discovery drug pipeline. Background experience successful in this role: • Prior research work in oncology bioinformatics analysis, either in academia or industry. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Shivangi Shivpuri Email: shivangi.s@ustechsolutionsinc.com Internal Id: 25-44439