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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Oncology, Real World Evidence, and Translational Research, with hands-on proficiency in R for statistical analysis and visualization. Proven ability to lead scientific teams, build relationships with pharmaceutical executives, and drive revenue goals through strategic partnerships.
Highest-signal resume keywords
PhD Or MDOncology ExpertiseReal World Evidence MethodologyR ProficiencyClinical Trial Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisVisualization ToolingCohort Feasibility AssessmentStudy DesignComputational BiologyDrug Discovery MethodologiesIntegrative MethodsScientific OutputRevenue ResponsibilityAgile Environments
Soft Skills
Collaborative LeadershipProactive MindsetRelationship BuildingMentoringCommunication
Tools & Technologies
AI ToolsData Science ToolsStatistical SoftwareVisualization Software
Industry Keywords
Life SciencesPharmaceutical PartnershipsTranslational ResearchClinical DevelopmentReal World Data
About the role
Key responsibilities & impact- Set scientific strategy for Tempus partnerships with pharmaceutical and biotechnology companies
- Translate pipeline, biomarker, and clinical development questions into analyses using clinical, molecular, and imaging data
- Design and execute proof-of-value analyses and cohort feasibility assessments
- Define study design, endpoint selection, cohort definition, and statistical and computational methods
- Review and approve scientific content of scopes, SOWs, and team deliverables
- Present findings to partner R&D and clinical teams and contribute to publications, posters, and conference presentations
- Stay current on oncology drug development, RWE methodology, regulatory use of RWE, AI, and multimodal modeling
- Partner with product, data science, and abstraction teams to identify data gaps and shape new data-product roadmaps
- Mentor and develop Data Solutions scientists
- Allocate team members across accounts and build standardized, scalable scientific workflows
- Escalate complex scientific requests and involve senior leadership in enterprise-level opportunities
- Meet or exceed revenue goals for the Data Solutions portfolio
- Build relationships with partner R&D, translational, and commercial executives and identify value-creation opportunities
- Shape multi-year collaborations across Tempus products
- Track strategic objectives and revenue goals with account teams and leadership
- Collaborate with Account Team members to qualify opportunities and support pipeline success
- Communicate scientific and technical plans and outcomes to internal and external stakeholders
- Contribute partner feedback to the Life Sciences portfolio
- Travel approximately 20% of working time domestically and internationally
- Perform other duties as assigned
Requirements
What you’ll need- PhD, MD, or equivalent advanced degree combining quantitative or computational training with biological or medical knowledge
- 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
- Track record of scientific output, such as publications, regulatory or HTA submissions, or partner-facing study results
- Ability to build deep, trusted relationships with pharmaceutical scientists and executives based on scientific credibility
- Collaborative and inclusive leadership approach
- Proactive mindset; ability to bridge ideas to implementable solutions and work in agile environments
- 10+ years of post-graduate experience, including 7+ years as a hands-on-keyboard scientist
- 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
Benefits
Comp & perks- Full range of benefits, which may include incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position