Senior Scientist, Translational Research

Senior Scientist, Translational Research - Real World Data Science Apply for the Senior Scientist, Translational Research - Real World Data Science role at Tempus AI 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. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. Key Responsibilities Execute Strategic Collaborations: Partner with pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs. Execute scientific activities including scoping net new projects, generating high-quality contracted deliverables and serving as the key scientific lead in the partnership. Support exploratory research for target discovery and validation in early phases of drug development. Support decisions for early-stage assets such as patient and indication selection, biomarker and combination strategies. Evaluate clinical trial design by testing assumptions, refining eligibility criteria, and characterizing patient outcomes on standard of care. Develop novel biomarkers of response signatures. Leadership Development: Help train and manage junior scientists on the team. Independent Contribution: Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from the Tempus multimodal data platform to derive real‑world insights for biopharma partners. Scientific Communication: Expert in navigating client interactions; present scientific findings clearly and meaningfully to diverse external stakeholders. Document, summarize and communicate highly technical results and methods clearly to non‑technical audiences. Author abstracts, posters and peer‑review publications to illustrate the value of multimodal analysis and AI in drug discovery in coordination with partners or internal R&D teams. Continuous Improvement: Become an expert in biopharma partners’ strategy, pipeline and portfolio to proactively determine areas where the Tempus platform could add value to drug development. Stay current with industry trends, best practices and advancements in computational oncology research, applying this knowledge to enhance research methodologies and overall research quality. Work with Product and Engineering teams to streamline workflow of computational analyses. Qualifications Education: PhD in a quantitative discipline (e.g., Biostatistics, Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology) plus 2 years of experience or postdoctoral studies. Alternatively, a PhD in Molecular Biology or Immunology 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 skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background Strong understanding of molecular data and AI 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. Thrives in a fast‑paced environment and can 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. CHI: $130,000–$175,000 USDNYC/SF: $140,000–$190,000 USDSalary may vary by location (e.g., Colorado, Illinois, New York). Tempus offers a full range of benefits, including incentive compensation, restricted stock units, medical and other benefits. Remote roles open to individuals in unincorporated Los Angeles: Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr