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Associate Principal Scientist, PharmaR&D

Remote / Online - Candidates ideally in
New York, USA
Listing for: Tempus, Inc.
Remote/Work from Home position
Listed on 2026-02-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 155000 - 200000 USD Yearly USD 155000.00 200000.00 YEAR
Job Description & How to Apply Below
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.##
**** Description****
* **** Scientific Communication:
**** Expert in navigating client interactions;
Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders
* **** Computational Analysis & Insight Generation:
**** Perform robust, reproducible analyses integrating genomic, transcriptomic, imaging, and clinical data. Apply appropriate statistical and computational methods to derive insights related to clinical trial design, patient selection, treatment response, resistance mechanisms, and disease biology.
* **** AI & LLM

Innovation:
**** Incorporate LLMs, agentic workflows, foundation models and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
* ***
* Collaboration:

**** Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.
* **** Drug R&D:
**** Partner with big pharma clients.  Become proficient in the clients’ strategies, drug modalities and pipeline to identify where the Tempus platform can add value.
* **** 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##
**** Qualifications****
* ***
* Education and experience:

****  + Experience at a Pharmaceutical company or in a client facing analytical role  + Either    - PhD and additional 4+ years of working experience    - Masters and additional 6+ years of working experience  + Combining:
- Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Machine Learning, or Bioinformatics).
- Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
- Genomics and transcriptomics.
- Target, drug or diagnostic discovery or clinical development.
* **** Technical/Scientific

Skills:

****  + Expertise in one of the following: in vitro data analysis, translational research, integrative analysis of multi-modal data, real world evidence and outcome analysis.  + Proficient in R, Python, and SQL, and respective packages for computational biology.  + Strong understanding of cancer biology.  + Strong peer-reviewed publication record.  + Applicable knowledge of machine learning and statistical modeling.
* **** Communication

Skills:

****  + Expert in navigating client interactions;
Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.  + Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
* **** Motivated**:
** Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self motivated to explore portfolio related opportunities.
**** Preferred Skillsets/Background
***** Goal orientation, self motivation, and drive to make a positive impact in healthcare.
* Previous experience working with large transcriptome and NGS data sets.
* Generative AI:
Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work.
* Specialized Modeling:
Expertise in one or more of the following:
Real-world evidence (RWE), survival analysis, causal inference, network/systems biology, or multi-modal integration.
* Experience with:
Package development,  tidyverse, Git, matplotlib, Pandas, Jupyter Notebook

CHI: $155,000-$200,000 USD  NYC/SF: $165,000-$210,000 USDThe 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…
Position Requirements
10+ Years work experience
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