What are the responsibilities and job description for the Senior Computational Biology - Real World Data Science position at Tempus Labs, Inc.?
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 :
Preferred Skillsets / Background :
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