Senior Computational Biology - Real World Data Science

Company: Tempus Labs, Inc.
Location: Boston
Posted on: February 1, 2025

Job Description:

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:
          • Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data.
          • Previous experience working with large transcriptome and NGS data sets.
          • Prior consulting and/or client-facing experience is highly desirable.
          • Ability to work collaboratively in a team environment.
          • Thrive in a fast-paced environment and willing to shift priorities seamlessly.
          • Experience with R package development.
          • Strong peer-reviewed publication record.
          • Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS.
          • Goal orientation, self-motivation, and drive to make a positive impact in healthcare.
            #J-18808-Ljbffr

Keywords: Tempus Labs, Inc., Newton , Senior Computational Biology - Real World Data Science, Other , Boston, Massachusetts