Associate Principal Scientist, PharmaR&D

Associate Principal Scientist, PharmaR&D Locations: Boston, MA | New York City, NY | Chicago, IL Responsibilities Scientific Communication: Expert in navigating client interactions; present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders. Real World Data Expertise & Technical Oversight: Lead the derivation of complex real‑world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real‑world data. AI & LLM Innovation: Incorporate LLMs, agentic workflows, foundation models and other AI tools into day‑to‑day workflows to accelerate code development, discovery, documentation, review, and insight generation. Collaboration: Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions. Drug R&D: Partner with big pharma clients, becoming proficient in the clients’ strategies, drug modalities and pipeline to identify where the Tempus platform can add value. 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. Qualifications Motivated: Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self‑motivated to explore portfolio related opportunities. Preferred Skillsets / Background Goal orientation, self‑motivation, and drive to make a positive impact in healthcare. Experience with large transcriptome and NGS data sets. Proficiency applying machine learning, statistical modeling, and LLM‑based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis. Experience in clinical trial design (particularly Phase II‑III) in the clinical development space. Extensive proficiency with claims, EHR, or registry data. High‑level familiarity with NCCN guidelines and interpretation of real‑world outcomes within the context of current oncology standard of care. Significant experience analyzing biomarker, genomic, or other high‑dimensional molecular data alongside clinical datasets. Experience with package development, tidyverse, Git, matplotlib, Pandas, and Jupyter Notebook.

CHI: $155,000‑$200,000 USD

NYC/SF: $165,000‑$210,000 USD

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. 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 Dormont Manufacturing Co