Tempus AI · 1 month ago
Senior Scientist, Computational Biology, Pharma R&D
Boston
Full-time
Onsite
Mid, Senior Level
$100K/yr - $160K/yr
5+ years expTempus AI is focused on precision medicine and advancing the healthcare industry through AI technology. They are seeking an experienced Senior Scientist to join their Computational Biology, Pharma R&D team, where the role involves integrating large-scale datasets to generate insights for drug discovery and development, while also collaborating with pharmaceutical partners.
Artificial Intelligence (AI)BiotechnologyHealth CareMachine LearningMedicalPrecision Medicine
Responsibilities
Partner with pharmaceutical collaborators in target discovery, biomarker development, and clinical development teams. Understand their scientific and clinical objectives, pipelines, and drug modalities. Independently translate partner needs into key questions and technical requirements to design well-scoped analytical plans that leverage the Tempus multimodal platform
Execute robust, reproducible analyses integrating genomic, transcriptomic, imaging, and clinical data. Apply appropriate statistical and computational best practices to derive insights related to clinical trial design, patient selection, treatment response, resistance mechanisms, and disease biology
Incorporate LLMs and other AI tools into day-to-day workflows to automate, streamline and accelerate code development, discovery, documentation, and review. Design and prototype agentic workflows integrating foundation models and LLMs to power new insights and predictive models
Evaluate, adapt, and implement new methods for the analysis of real-world, clinical, and ’omic datasets (e.g., survival analysis, causal inference, multi-modal integration). Contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations and programs
Work closely with colleagues in Research, Clinical, Data Science, and Engineering to refine analyses, build scalable solutions, and align scientific efforts with platform and product roadmaps
Communicate complex methods and results clearly to both technical and non-technical stakeholders. Prepare and present internal reports, external-facing deliverables, and, where appropriate, manuscripts or conference materials that demonstrate the impact of Tempus data and technologies on partner programs
Demonstrate strong project-level leadership, to ensure the delivery of high-quality results in an efficient and effective manner. This includes setting clear priorities, coordinating resources, and proactively identifying and addressing potential obstacles to ensure that project milestones and deadlines are consistently met. The ideal candidate will foster a collaborative environment, provide mentorship to junior scientists on project teams, and uphold a standard of excellence in project execution and delivery
Qualification
Required
PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related field (or Masters degree with 3+ years of relevant experience)
Plus an additional 2+ years of relevant industry or post-doctoral experience
Proven track record of success in peer reviewed publications
Proficiency in R and/or Python, including experience with common computational biology and scientific computing libraries
Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks for biological/clinical research
Adherence to good software engineering practices (version control, modular code, documentation)
Experience working with SQL and large relational databases
Strong grounding in statistics and data analysis, including study design considerations and interpretation of real-world clinical data
Proficiency in providing quality code review and QA/QC for the work of others
Strong understanding of cancer biology, immunology, or human disease mechanisms, with the ability to interpret and effectively summarize scientific findings
Demonstrated experience analyzing large-scale biological datasets (e.g., NGS, RNA-seq, other genomics or transcriptomics data), ideally in oncology, immunology, or human disease
Demonstrated project leadership and people mentorship
Excellent written and verbal communication skills with comfort in client-facing roles
Strong collaborator
Ability to thrive in a fast-paced, dynamic setting
Preferred
Practical experience configuring or adapting LLMs, or using related tools/frameworks, to support scientific work
Expertise in one or more of the following: Real-world evidence (RWE), survival analysis, causal inference, network/systems biology, or multi-modal integration
A strong history of peer-reviewed publications or conference presentations
Understanding of the drug development lifecycle, from target discovery to clinical development
Benefits
Incentive compensation
Restricted stock units
Medical and other benefits depending on the position
Company
Tempus AI
Tempus is making precision medicine a reality by applying AI in healthcare, deriving insights from our expansive library of clinical data and molecular data.
1001-5000 employees
H1B Sponsorship
Tempus AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (3)
Funding
Current Stage
Public CompanyTotal Funding
$2.29BKey Investors
Ares ManagementGoogleBaillie Gifford
2025-06-30Post Ipo Debt· $650M
2025-02-19Post Ipo Debt· $300M
2024-06-14IPO
Leadership Team
Eric Lefkofsky
Founder and CEO
Shane Colley
CTO
Recent News
Business Wire
2026-01-22
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2026-01-13
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