Associate Principal Scientist, Pharma R&D
Tempus AI
Location
Boston, MA / New York, NY / Chicago, IL
Job Type
Full-time
Reposted
June 30, 2026
Originally posted Apr 10, 2026
Views
273
Salary Range
$155k - $210k
USD
Job Description
Tempus seeks a scientist to design and execute research initiatives for biopharmaceutical partners. The role focuses on leveraging real-world clinical data and AI to advance cancer precision medicine.
Key Responsibilities
- Lead complex real-world data analytical projects with expertise in survival analysis methodologies
- Present technical findings clearly to external stakeholders and clients
- Collaborate with research, engineering, and data science teams on computational solutions
- Integrate LLMs and AI tools into analytical workflows
- Partner with pharmaceutical clients to identify where Tempus platform technology adds value
- Stay current with oncology drug development trends and computational research advancements
Required Qualifications
- PhD plus 5+ years experience OR Master's plus 7+ years in pharmaceutical/analytical roles
- Expert-level proficiency in observational real-world healthcare data
- Strong publication record in peer-reviewed journals
- Proficiency in R, Python, and SQL for computational biology
- Deep understanding of cancer biology
- Excellent client communication and presentation skills
- Track record leading RWD studies from conception through publication
Preferred Skills: Machine learning application, clinical trial design experience, claims/EHR data expertise, biomarker analysis, NCCN guideline familiarity, transcriptome/NGS data experience
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Frequently Asked Questions
Where is the job located, and is it remote, hybrid, or on-site?
The position is located in Boston, MA, New York, NY, or Chicago, IL. The job posting does not specify a remote, hybrid, or on-site work-mode policy.
What are the key responsibilities of this role?
You will lead complex real-world data analytical projects, present findings to external stakeholders, collaborate with research and engineering teams, integrate LLMs and AI tools into workflows, partner with pharmaceutical clients, and stay current with oncology drug development trends.
What qualifications and experience are required?
You need a PhD with 5+ years of experience or a Master's with 7+ years in pharmaceutical/analytical roles. Requirements include expert-level proficiency in observational real-world healthcare data, a strong publication record, proficiency in R, Python, and SQL, deep understanding of cancer biology, and excellent client communication skills.
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Job Information
Source:
manual
AI Relevance:
93/100
(Highly relevant)
Remote Type:
onsite
Experience:
Senior
Allowed Locations:
Worldwide
Skills & Tags:
real-world data
oncology
AI
Python
R
SQL
pharma
clinical data
machine learning
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