Scientist II, Real World Data Science - Translational Research

About the position

Tempus is a healthcare technology company at the forefront of leveraging data to improve patient lives. The Scientist II, Life Sciences Research will execute research projects for early stage biopharmaceutical partners, performing complex computational analyses and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders.

Responsibilities

• Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners.
• Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
• 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 team.

Requirements

• PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively, an MSc degree with 4+ years of industry experience.
• Highly proficient in R (ideally Rmd and/or RShiny).
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.

Nice-to-haves

• 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.

Benefits

• Incentive compensation
• Restricted stock units
• Medical and other benefits