Director, Data Solutions

Role overview

Approximately 75% of this role is scientific work: designing analyses, scoping studies, reviewing methods, performing proof-of-value analysis and presenting results to our external and internal partners. The remainder is team leadership, product development and partnership growth. You will stay hands-on-keyboard, exploring Tempus data and performing proof-of-value analyses for priority opportunities.

Responsibilities

Scientific Leadership

• Serve as the senior scientific advisor to biopharma partners, translating their pipeline, biomarker, and clinical development questions into feasible, well-designed analyses using Tempus clinical, molecular, and imaging data
• Personally design and execute proof-of-value analyses and cohort feasibility assessments for high-priority or complex opportunities
• Define the scientific approach for real-world evidence and translational projects, including study design, endpoint selection, cohort definition, and statistical and computational methods
• Review and sign off on the scientific content of scopes, SOWs, and deliverables produced by the team, ensuring methodological rigor and accurate representation of the data
• Present findings to partner R&D and clinical teams, and contribute to publications, posters, and conference presentations where appropriate
• Stay current on oncology drug development, real-world data methodology, regulatory use of RWE, and AI and multimodal modeling
• Partner with Tempus product, data science, and abstraction teams to identify data gaps surfaced by partner needs and shape the roadmap for new data products

Team Leadership

• Mentor and develop more junior Data Solutions scientists, growing their domain knowledge as well as their client-facing skills
• Assign and flex team members across pharma, biotech, and innovation-economy accounts based on expertise and opportunity value
• Build standardized, scalable scientific workflows (feasibility templates, analysis frameworks, data POVs) so the team can rapidly support more partners without lowering quality
• Act as the first point of escalation for complex or non-standard scientific requests, and involve senior leadership early on enterprise-level opportunities

Partnerships and Revenue Growth

• Meet or exceed team revenue goals for the Data Solutions portfolio while delivering on strategic objectives for key client accounts
• Build deep relationships with R&D, translational, and commercial executives at partner organizations based on shared scientific understanding, identifying new value-creation opportunities
• Identify and shape multi-year collaborations that position Tempus data as the foundational layer for broader partnerships across Tempus products
• Track progress against strategic objectives and revenue goals; review progress and setbacks regularly with the broader Account Team and Tempus Leadership

Cross-functional Collaboration

• Partner with the Account Team (Key Account Directors, Alliance Management, Operations) to qualify opportunities and ensure success against the pipeline
• Communicate scientific and technical plans and outcomes to cross-functional internal and external stakeholders, from bench scientists to executives
• Contribute to the development of the Life Sciences portfolio by sharing partner feedback with Leadership; maintain a solution-oriented mindset
• Travel approximately 20% of working time, domestically and internationally
• Other duties as assigned

Preferred Qualifications

• PhD, MD, or equivalent advanced degree combining quantitative or computational training (e.g. Computational Biology, Biostatistics, Epidemiology, Bioinformatics, Biomedical Informatics) with biological or medical knowledge (e.g. Cancer Biology, Genetics/Genomics, Immunology, Molecular Biology)
• Deep expertise in oncology and in Real World Evidence, Translational Research / Computational Biology, or Drug Discovery methodologies, with working knowledge of the others
• Hands-on proficiency in R, including statistical and visualization tooling
• Experience with clinical trial design, real-world evidence study design, and integrative methods for multimodal clinical and omics data
• A track record of scientific output, such as publications, regulatory or HTA submissions, or partner-facing study results
• Proven ability to build deep, trusted relationships with pharmaceutical scientists and executives based on scientific credibility
• A leader who fosters a collaborative and inclusive environment that promotes creativity, innovation, and scientific excellence
• Proactive mindset that bridges ideas to implementable solutions; comfortable in agile environments with quick iterations

Preferred Experience

• 10+ years of post-graduate experience, including 7+ years as a hands-on-keyboard scientist in one of the disciplines above
• 5+ years working at or with life sciences companies in R&D and/or real-world data
• 3+ years leading or mentoring scientific teams, with direct people management preferred
• Familiarity with AI/agentic tools in the current and continually expanding computational landscape
• Experience in a client-facing scientific role with revenue or quota responsibility