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Senior Computational Biology - Real World Data Science - Boston Massachusetts
Company: Tempus Labs, Inc.
Location: Boston, Massachusetts
Posted On: 01/30/2025
Passionate about precision medicine and advancing the healthcare industry?Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.The Senior Scientist, Translational Research or Real-World Evidence in the Real World Data Science org will design and execute research projects for early-stage to mid-stage biopharmaceutical partners. This role involves performing complex computational analyses and providing interpreted insights in a consultative approach to guide decision-making for biopharma clients. This role will require complex bioinformatics analyses to support a wide variety of projects. We are seeking a candidate with extensive experience in the analysis of high-dimensional data, cancer genomics, statistics, and machine learning.Key Responsibilities: - Perform bioinformatics analyses for large-scale research projects, such as detailed target characterization, biomarker discovery, or identifying the ideal patient population for a specified therapeutic.
- Project management, including creating research plans, executing research aims, supervising other bioinformaticians, and creating reports and other deliverables.
- Develop methods for analyzing multi-omics data, building analysis pipelines, algorithms, and validating tools for oncology research.
- Collaborate with scientists to understand their research questions and propose solutions.
- Write clean, maintainable, documented code.
- Independent Contribution:
- Independently execute complex research projects integrating molecular and clinical data to derive real-world insights for biopharma partners.
- Scientific Communication:
- Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
- Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences.
- Continuous Improvement:
- Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on the team.Qualifications:
- Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology, or similar) plus 2 years of experience or postdoctoral studies. Alternatively, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology.
- Experience: Minimum 2+ years in drug development leveraging genomic and multimodal data for drug discovery and development.
- Technical/Scientific Skills: Proficient in R, Python, and SQL. Strong understanding of cancer biology.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.Preferred Skillsets/Background:
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