Senior Scientist II, Computational Discovery Science

Summary

Join Tempus' Computational Discovery Science team as a Sr. Scientist II/Associate Principal Computational Biologist and contribute to identifying novel cancer therapeutic targets. You will develop and apply computational methods using Tempus' large clinico-genomic database and various assays. This role demands creative thinking, collaboration, and a passion for groundbreaking research. The ideal candidate possesses a background in computational biology and translational medicine, with experience in biopharma and statistical methods. Responsibilities include executing strategic collaborations with pharma clients, independent research project execution, and scientific communication. The position requires a PhD in a quantitative discipline and relevant experience.

Requirements

• PhD degree in a quantitative discipline (e.g., Biostatistics/Statistical Genetics, Bioinformatics, Computational Biology, Computational Immunology, or similar) plus 2 years of experience or postdoctoral studies
• Alternatively, a PhD in Molecular Biology or another Life Science degree combined with a very strong record of computational biology
• Minimum 2+ years in drug development leveraging genomic and clinical/real-world data for drug discovery and development
• Proficient in R, Python, and SQL
• Strong understanding of cancer biology
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences

Responsibilities

• Partner with our pharma clients to design, develop, and execute computational target discovery research projects leveraging the Tempus platform to advance precision medicine research programs
• Develop and implement scientific strategies and experimental work plans, including identifying new methodologies and approaches for large clinico-genomic databases and PDOs
• Integrate the above to prioritize target opportunities matched to biomarker and indication strategies that enhance the likelihood of developmental success
• Evaluate clinical trial design by testing assumptions, refining eligibility criteria, and characterizing patient outcomes on standard of care
• Develop novel biomarkers of response signatures
• Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from Tempus’ multimodal data platform to derive real-world insights for biopharma partners
• 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
• Author abstracts, posters, and peer-reviewed publications to illustrate the value of multimodal analysis and AI in drug discovery in coordination with our partners or internal R&D teams
• Become an expert in our biopharma partners’ strategy, pipeline, and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners
• 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

Preferred Qualifications

• Strong understanding of statistical methods, molecular data, and machine learning 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, tidyverse, ggplot, Git, matplotlib, seaborn
• Goal orientation, self-motivation, and drive to make a positive impact in healthcare

Benefits

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