Senior Pharma Operations Associate

Overview 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. The Senior Pharma Operations Associate plays a key role in planning and executing complex pharma partner projects, with a particular focus on scientifically rigorous implementation of Tempus’ data and diagnostic solutions. This role requires advanced training in a quantitative or life science discipline (M.Sc or Ph.D.) and comfort interfacing with both scientific and operational stakeholders. Responsibilities Serve as the primary operational point of contact for assigned pharma partners. Develop a strong understanding of each partner’s strategic objectives and success metrics, ensuring alignment with Tempus’ work. Own recurring partner touchpoints (status meetings, check‑ins, milestone reviews), including agenda setting, facilitation, and follow‑up. Proactively communicate project status, risks, and mitigations to partners, and manage expectations around scope, timelines, and deliverables. Collect, synthesize, and relay partner feedback internally; track and close the loop on issues to maintain trust and satisfaction. Collaborate with Account Management / BD to identify and support opportunities for renewal, expansion, and new workstreams based on partner needs. Perform structured checks on scientific/technical deliverables (e.g., cohort definitions, variable lists, QC summaries, data dictionaries) to ensure partner requirements are met. Prepare partner‑facing materials such as status reports, slide decks, and delivery summaries that clearly communicate results and next steps. Maintain and interpret analytical dashboards (e.g., Looker, Tableau, Power BI) to track project performance, timelines, and operational KPIs relevant to customer success. Use dashboard insights and metrics to guide conversations with partners and internal teams about performance, risks, and improvement opportunities. Assist in designing and operationalizing pilots or new solution types for pharma partners, including structured feedback capture and iteration. Contribute to continuous improvement of Pharma Ops processes, templates, and best practices with a focus on customer experience, scalability, and scientific rigor. Ensure adherence to regulatory, privacy, and quality standards, working closely with Legal, Compliance, and Quality. Qualifications Required Qualifications Bachelor’s degree, M.Sc or Ph.D. in a relevant field (e.g., Biomedical Sciences, Biomedical Engineering, Bioinformatics, Epidemiology, Biostatistics, Public Health, Pharmacy). 1–5+ years of relevant experience (including Ph.D./postdoc work or industry experience) in pharma/biotech, clinical research, RWE/HEOR, diagnostics, healthcare technology, or other health‑data‑driven environments. Demonstrated ability to interpret scientific/clinical documentation (protocols, SAPs, SOWs, publications) and translate it into structured requirements. Experience in a client‑facing or stakeholder‑facing role focused on relationship management and customer success. Strong organizational and project coordination skills; able to manage multiple partner workstreams and deadlines simultaneously. Excellent written and verbal communication skills, including the ability to explain technical/scientific topics to non‑technical stakeholders. Experience with AI and Generative AI concepts and their application to healthcare, life sciences, or data workflows. Familiarity with oncology, genomics, and/or precision medicine. Comfort working with structured datasets, spreadsheets, and basic analytics or visualization tools. Ability to generate, maintain, and interpret analytical dashboards (e.g., Looker, Tableau, Power BI) to monitor and communicate project and customer‑success metrics. Understanding of data privacy and regulatory considerations relevant to clinical and real‑world data (RWD) datasets. Preferred Qualifications Experience supporting or coordinating pharma‑sponsored studies, RWE projects, HEOR analyses, or companion diagnostics programs. Experience working cross‑functionally with technical teams (data engineering, data science, bioinformatics, software engineering). Exposure to project management methodologies and tools (Asana, Jira, Smartsheet, or similar). Key Competencies Customer Focus & Success: Centers decisions and communication on partner outcomes, satisfaction, and long‑term relationship health. Scientific & Operational Translation: Bridges scientific/clinical requirements and executable operational plans for both internal teams and partners. Detail Orientation & Rigor: Ensures accuracy and completeness in documentation, dashboards, and deliverables. Cross‑functional Collaboration: Works effectively with scientific, technical, and commercial stakeholders. Structured Execution & Problem Solving: Uses tools, metrics, and process discipline to drive predictable delivery and resolve issues quickly. Salary & Benefits Illinois Pay Range: $90,000–$118,000. The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, NewYork). 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. Equal Opportunity Employer 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 Tempus AI, Inc.