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About the Role

Tempus is seeking an Associate Director RWE, PharmaR&D to design, propose, and execute research projects for top biopharmaceutical partners. This role involves staying current with oncology drug development trends, performing complex computational analyses, and guiding algorithm development to advance cancer precision medicine.

Responsibilities

• Design, propose, and execute research projects for Tempus’s top biopharmaceutical partners.
• Stay up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can provide impact to partners' portfolios.
• Perform complex computational analyses and guide algorithm development for advancing cancer precision medicine.
• Incorporate LLMs, agentic workflows, foundation models, and other AI tools into workflows to accelerate code development, discovery, documentation, review, and insight generation.
• Work with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions.
• Partner with big pharma clients, becoming proficient in their strategies, drug modalities, and pipelines to identify where the Tempus platform can add value.
• Stay current with industry trends, best practices, and advancements in computational oncology research, applying this knowledge to enhance research methodologies and improve overall research quality.

Requirements

• Experience at a Pharmaceutical company or in a client-facing analytical role.
• Advanced education in epidemiology, biostatistics, data science, public health, or related fields.
• PhD and additional 5+ years of working experience OR Masters and additional 7+ years of working experience.
• Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).
• Track record of leading RWD analytical studies from initial scoping through to publication or dissemination.
• Proficient in R, Python, and SQL, and respective packages for computational biology.
• Strong understanding of cancer biology.
• Strong peer-reviewed publication record.
• Adherence to good software engineering practices (version control, documentation).
• Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
• Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self-motivated to explore portfolio-related opportunities.
• Goal orientation, self-motivation, and drive to make a positive impact in healthcare.
• Previous experience working with large transcriptome and NGS data sets.
• Proficiency applying machine learning, statistical modeling, 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 the ability to interpret real-world outcomes within the context of the 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, Jupyter Notebook.

Skills

• Real-world data analytical skills
• Machine learning
• Statistical models
• Big data analysis
• Scientific communication
• Client interaction
• Technical presentation
• Real-world data expertise
• Computational analysis
• AI
• LLM innovation
• Agentic workflows
• Foundation models
• Code development
• Discovery
• Documentation
• Insight generation
• Collaboration
• Computational solutions
• Drug R&D
• Oncology drug development
• Cancer biology
• Observational real-world healthcare data
• Time-to-event methodologies
• Survival analysis
• R
• Python
• SQL
• Computational biology
• Peer-reviewed publication
• Software engineering practices
• Version control
• Written communication
• Verbal communication
• Adaptability
• Self-motivation
• Goal orientation
• Drive
• Transcriptome data
• NGS data
• Statistical modeling
• LLM-based coding assistants
• Agentic frameworks
• Clinical trial design
• Claims data
• EHR data
• Registry data
• NCCN guidelines
• Biomarker data analysis
• Genomic data analysis
• High-dimensional molecular data analysis
• Package development
• Tidyverse
• Git
• Matplotlib
• Pandas
• Jupyter Notebook

Location

• Boston, MA
• New York City, NY
• Chicago, IL

Work Type

• Full-time

Experience Level

• Associate Director
• 5+ years of working experience (with PhD)
• 7+ years of working experience (with Masters)

Education Level

• PhD
• Masters

Salary/Compensations

• CHI: $155,000-$200,000 USD
• NYC/SF: $165,000-$210,000 USD

Benefits

• Incentive compensation
• Restricted stock units
• Medical and other benefits depending on the position

About the Company

• Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care.
• Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians and drug developers.
• As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to claims, genetics, and digital pathology.
• Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

Equal Opportunity

• 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.