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Scientist II, Data Science

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Tempus AI
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Scientist II, Real World Data Science

Scientist II, Real World Data Science

We’re looking for a Scientist II, Real World Data Science to join Tempus AI. Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have 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.

Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

The Scientist II, Life Sciences Research will execute research projects for early‑stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision‑making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders.

Key Responsibilities
  • Independent Contribution:
    Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real‑world insights for biopharma partners.
  • Scientific Communication:
    Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
  • Continuous Improvement:
    Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on team.
Qualifications
  • Education:

    PhD degree in a quantitative discipline (e.g., Biostatistics, Computational Biology, Immunology or similar) or a PhD in Molecular Biology/Immunology combined with a strong record of computational biology. Alternatively, MSc degree with 4+ years of industry experience.
  • Technical/Scientific

    Skills:

    Highly proficient in R (ideally Rmd or RShiny).
  • Communication

    Skills:

    Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
Preferred Skillsets / Background
  • Strong understanding of molecular data and AI in drug discovery, with experience in integrative modeling of multimodal clinical and omics data.
  • Previous experience working with large transcriptome and NGS data sets.
  • Prior consulting and/or client‑facing experience is highly desirable.
  • Ability to work collaboratively in a team environment.
  • Ability to thrive in a fast‑paced environment and shift priorities seamlessly.
  • Experience with R package development.
  • Strong peer‑reviewed publication record.
  • Experience with:
    Pandas, Num Py, Sci Py, Scikit‑learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plotly, Flask, Dask, Docker, AWS.
  • Goal orientation, self‑motivation, and drive to make a positive impact in healthcare.

Payment: CHI – $90,000–135,000 USD; NYC/SF – $100,000–150,000 USD. The expected salary range above is applicable if the role is performed from California and may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, including 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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