Senior Scientist I, Translational Research
$115,000–$175,000 year
On-siteChicago, Illinois, United States or New York City, New York, United States
Job Summary
Partner with pharma clients to design, develop, and execute computational research projects leveraging the Tempus platform to advance precision medicine. Analyze large clinical and molecular datasets to extract insights, co-architect solutions that solve customer challenges, and author whitepapers illustrating multimodal analysis value. Track progress against strategic objectives, review setbacks with leadership, and contribute feedback to portfolio development. Document technical results for non-technical audiences and maintain R&D relationships as a trusted technical advisor. Travel approximately 25% of working time domestically and internationally.
Required Qualifications
- PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar)
- PhD in Molecular Biology or Immunology combined with a very strong record of computational biology
- Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery and development
- Strong understanding of molecular data and artificial intelligence in drug discovery with experience integrative modeling of multi-modal clinical and omics data
- Proficient in R, Python, and SQL
- Previous experience working with large transcriptome data sets
- Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence Platforms
- Proven track record of developing solutions utilizing molecular and multimodal data
- Demonstrated ability to influence without authority (both with internal and external stakeholders)
- Proactive mindset that bridges ideas to implementable solutions, and can help move both internal and external stakeholders to quickly solve problems
- Experience with communicating insights and presenting concepts to diverse audiences
- Strong peer-reviewed publication record
- Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS
Desired Qualifications
- Prior consulting and/or client facing experience
- Thriving in a fast-paced environment and willing to shift priorities seamlessly
- Team player mindset and ability to work in an interdisciplinary team
- Goal orientation, self motivation, and drive to make a positive impact in healthcare
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