Sr. Data Scientist, Outcomes Research
Listed on 2026-02-12
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer -
Research/Development
Data Scientist
Pioneering in precision medicine and advancing the healthcare industry, Tempus connects an ecosystem of real-world evidence to deliver real-time, actionable insights to physicians for the right treatments at the right time. The Outcomes Research team partners with external pharma, biotech and academic institutions to provide best-in-class data, analysis and methodological guidance for Tempus’s real world data offering. We are seeking a highly motivated and capable Sr.
Data Scientist with extensive experience and interest in the design and analysis of pharmacoepidemiological studies to join our team.
- Participate in clinical projects with external Pharma, academic and other partners
- Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies
- Work on complex problems, exercising judgment in selecting and adapting methods as appropriate
- Work with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
- Stay current with the latest methodological advances in real world studies
- Build infrastructure including reusable code
- Comply with all applicable regulations and Company procedures
- Advanced degree (Masters with 5+ years of experience or PhD with 3+ years of experience) or Bachelor’s degree with 8+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
- Computational skills using Python, R or SAS and SQL, especially relevant statistical tools and packages
- Strong data manipulation and analysis skills
- Ability to tackle large, ambiguous problems
- Strong communication and presentation skills
- Self-starter
- Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
- Experience in cancer genetics, immunology, or molecular biology
- Self-driven and works well in interdisciplinary teams
- Collaborative mindset, an eagerness to learn and a high integrity work ethic
- Sharp attention to detail and passion for delivering high quality and timely analytics deliverables
- Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations
- Experience with version control and software testing
- Experience with time to event analysis and methodology
- Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
- Hands-on experience in helping to prepare regulatory submissions to the FDA
- Experience supporting data science teams in model building and validation
- Client facing or consulting experience and comfort with presenting results to stakeholders
Salary: CHI: $100,000-$160,000; NYC/SF: $115,000-$175,000. 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.
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