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.
What you’ll do:
Serve as the technical lead for feasibility requests: Translate complex clinical, genetic, and business requirements (e.g., trial eligibility, patient journey analysis) into actionable technical scripts and queries using SQL, R, or similar tools and translate outputs into digestible data visualizations
Interpret and operationalize clinical cohort definitions: Work closely with business development, translational research, and clinical teams to understand nuanced eligibility criteria (e.g., rare genetic variants, disease subtypes) and convert them into precise data extraction logic.
Extract, analyze, and summarize patient data: Leverage large, multi-source datasets—including EMR, genetic, and laboratory data—alongside secondary sources such as peer-reviewed publications to identify eligible patient populations. Generate comprehensive analytics and insights, such as attrition funnels, geographic distribution, and provider/institution metrics, to support client presentations.
Automate and optimize feasibility workflows: Continuously improve process efficiency by building and maintaining automated pipelines and documentation, ensuring a seamless handoff to Data Science for post-sale algorithm development.
Integrate and harmonize diverse data sources: Use SQL and dbt (data build tool) to combine clinical, genetic, and operational data, supporting robust patient identification and analytics.
Ensure data quality and integrity: Apply rigorous QA processes to identify and correct errors, inconsistencies, or gaps in data and feasibility outputs.
Develop and maintain dashboards: Create and enhance data visualizations and dashboards (e.g., in Looker) to streamline feasibility reporting and support business development.
Stay current in oncology and clinical genomics: Maintain a working knowledge of relevant disease areas (e.g., solid tumors, hematologic malignancies, rare genetic variants) to ensure accurate translation of clinical concepts into technical deliverables.
Required Knowledge and Skills
Bachelor’s degree in an analytical, computational, or healthcare-related field (e.g., Bioinformatics, Data Science, Public Health, Biology, Computer Science, Biomedical Engineering)
3-5 years of relevant work experience in healthcare analytics, clinical data, or related fields
Proficiency in SQL (or equivalent query language) and experience with data transformation tools (e.g., dbt)
Experience with data visualization tools (e.g., Looker, Tableau)
Demonstrated ability to interpret and implement complex clinical/genetic cohort definitions in code
Excellent interpersonal, written, and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
Strong organizational skills and outstanding attention to detail
Ability to work efficiently under time constraints and manage multiple priorities
Demonstrated ability to collaborate effectively across technical, clinical, and operations teams, coupled with strong problem-solving skills.
Proficient in Google Suite (Gmail, Google Docs, Sheets, etc.) and Excel
Willingness to work in an agile, fast-paced, and expanding team environment
Experience working with EMR, clinical, or claims data
Experience working with genetic or molecular data (e.g., NGS, variant annotation)
Nice to Haves:
Familiarity with oncology, clinical trial design, or rare disease research
Experience with R or Python for data analysis
Experience with dbt or similar data transformation frameworks
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Illinois Pay Range: $80,000 - $95,000
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.
Top Skills
What the Team is Saying
What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time, connect patients with therapies and clinical trials, and enable partners to accelerate discovery and development of new treatments.
With ~8 million de-identified research records and 350+ petabytes of data, Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology, neurology, psychiatry, cardiology, and beyond—transforming how care is delivered and therapies are developed.
At Tempus, every role contributes to our mission: to help each patient benefit from the experiences of those who came before.
For more information, visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building, and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
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Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy, with some roles allowing for a fully remote arrangement and some roles being onsite only.
