Scientist II, Computational Biology, Pharma R&D

Tempus AI; Chicago (IL); Vor Ort; USD 90.000 - 135.000; Vollzeit

Zusammenfassung

Tempus AI is seeking a Scientist II to join the Computational Biology, Pharma R&D team in Chicago. You will integrate large-scale molecular and clinical data to generate insights for drug discovery and development, and build tools to scale analyses using AI.

The role blends strong computational and statistical skills with biology, requiring collaboration with external stakeholders and comfort with real-world data and AI technologies.

Qualifikationen

• PhD in related field or Master’s with 3+ years experience.
• Proficiency in R and/or Python with scientific computing libraries.
• Experience with ML, LLM-based coding assistants (Claude Code, Codex), and agentic frameworks.
• Adherence to good software engineering practices (version control, modular code, documentation).
• Experience with SQL and large relational databases.
• Strong grounding in statistics and data analysis, including study design and interpretation of real-world data.
• Scientific knowledge: cancer biology, immunology, or human disease mechanisms.
• Experience analyzing large-scale biological datasets (NGS, RNA-seq) in oncology/immunology.

Aufgaben

• Partner with pharma collaborators to execute computational research plans leveraging Tempus multimodal platform.
• Perform robust analyses integrating genomic, transcriptomic, imaging, and clinical data.
• Apply statistical methods to inform trial design, patient selection, and treatment response.
• Incorporate LLMs, agentic workflows, and foundation models to accelerate workflows.
• Develop and implement methods for real-world, clinical, and omics data analysis.
• Collaborate with Research, Clinical, Data Science, and Engineering to build scalable solutions.
• Communicate methods and results to technical and non-technical stakeholders; prepare reports and manuscripts.

Kenntnisse

R

Python

Statistics

Data analysis

Communication

Ausbildung

PhD in Computational Biology/Bioinformatics/Biostatistics/ML

Master’s with 3+ years experience

Tools

SQL

Claude Code

Codex

Agentic frameworks

Jobbeschreibung

Passionate about precision medicine and advancing the healthcare industry?

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.

We are seeking a Scientist II to join our Computational Biology, Pharma R&D team. We work at the intersection of biological data science and AI to support collaborations with major pharmaceutical partners. The role focuses on integrating large-scale molecular and clinical datasets, generating actionable insights for drug discovery and development, and building next-generation research tools that enhance the impact and efficiency of our work.

The successful candidate will combine strong computational and statistical skills with a deep interest in biology and translational science. They will be comfortable working with real-world data, engaging with external scientific stakeholders, and leveraging AI (foundation models, Large Language Models, agentic systems, etc.) to scale tasks and augment insights.

Key Responsibilities:

• Pharma Collaboration & Strategy: Partner with pharmaceutical collaborators to execute computational research plans that leverage the Tempus multimodal platform to address key questions in target discovery, biomarker development, and clinical development.
• 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.
• Method Development and Platform Contribution: Evaluate, adapt, and implement new methods for the analysis of real-world, clinical, and omics datasets (e.g., survival analysis, causal inference, multimodal integration). Contribute to reusable code, internal packages, and best practices that can be applied across multiple collaborations and programs.
• Cross-Functional Collaboration: Work closely with colleagues in Research, Clinical, Data Science, and Engineering to refine analyses and build scalable solutions.
• Scientific Communication: 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.

Qualifications:

• Education: PhD in Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related field (or master’s degree with 3+ years of relevant experience).
• Technical Proficiency: Proficiency in R and/or Python, including experience with common computational biology and scientific computing libraries.
• Proficiency in using machine learning, LLM-based coding assistants (e.g., Claude Code, Codex), 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.
• Scientific Knowledge: Strong understanding of cancer biology, immunology, or human disease mechanisms.
• Data Expertise: Demonstrated experience analyzing large-scale biological datasets (e.g., NGS, RNA-seq, other genomics or transcriptomics data), ideally in oncology, immunology, or human disease.
• Soft Skills: Excellent written and verbal communication skills with comfort in client-facing roles. Ability to thrive in a fast-paced, dynamic environment.

Preferred Skillsets:

• 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 multimodal integration.
• Publication Record: A strong history of peer-reviewed publications or conference presentations.
• Drug Discovery Context: Understanding of the drug development lifecycle, from target discovery to clinical development.

CHI: $90,000-$135,000
NYC: $100,000-$150,000

The expected salary range may vary for other locations. 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.