Senior Data Scientist I, Real World Evidence (RWE), Life Sciences R&D

Tempus AI; New York (NY); In loco; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full benefits package

Equity / RSUs may be offered

Descrizione del lavoro

Tempus is seeking a senior analytics scientist to lead RWE analyses for pharma clients, translating drug development questions into actionable research plans using Tempus data. You will shape endpoints, apply advanced survival analyses, and contribute reusable code and standards for the team.

You will work with cross-functional teams to communicate complex results to both technical and non-technical stakeholders, and explore LLM-enabled coding assistants to accelerate discovery and documentation.

Competenze

• Experience with real-world healthcare data and time-to-event analyses.
• Proven ability to run RWD analytical studies with rigor.
• Experience interfacing with pharma clients and presenting results.

Mansioni

• Lead design and delivery of RWE analyses for pharma clients.
• Derive complex endpoints using Tempus clinical and molecular data.
• Develop methodological standards and reusable code.
• Integrate AI tools and agentic workflows into data workflows.
• Interpret results and communicate limitations clearly to stakeholders.
• Collaborate across product, oncology, and data science teams.

Conoscenze

Observational real-world data

Survival analysis

R & SQL proficiency

LLM-based coding assistants

Software engineering practices

Code review

Client communication

Cross-functional collaboration

Formazione

PhD + 2+ years

Master’s degree + 4+ years

Strumenti

R

SQL

Claude Code

Copilot

Cursor

Git

Descrizione del lavoro

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.

The Real World Evidence (RWE) group within the Life Sciences R&D team at Tempus works with major pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Tempus’s real-world data offering.

Key Responsibilities

• Pharma Collaboration & Strategy: Lead the design and execute delivery of RWE analyses for key pharma clients. You will be responsible for translating complex drug development questions and into actionable research plans that use Tempus data for trial design and outcomes research.
• Real World Data Expertise: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.
• Methodology & Platform Contribution: Build technical standards for the team, staying up-to-date on methodological advancements in real-world studies (e.g., causal inference, survival analysis) and oncology guidelines (NCCN and ongoing clinical trials). Contribute to reusable code and internal packages that can be applied across multiple collaborations.
• AI & LLM Innovation: Incorporate LLMs, agentic workflows and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
• Scientific Interpretation & Communication: Interpret results of RWE analyses to draw appropriate inferences based on study design/statistical methods, while also evaluating study limitations. 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.
• Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, and real-world data science teams to continually enhance Tempus data quality, products, and analytical best practice. You will proactively identify gaps in current products and ensure that customer feedback is represented in development of new products.
• Oncology & RWE Domain Expertise: Grow and maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies.

Minimum Qualifications

• Education: Education in epidemiology, biostatistics, data science, public health, or a related field, to the level of either:
• PhD and 2+ years of additional work experience
• Master’s degree and 4+ years of additional work experience
• Technical and Statistical Proficiency
• Expert-level proficiency with observational real-world healthcare data, including analytical experience with time-to-event methodologies (survival analysis).
• Proven expertise in executing RWD analytical studies.
• Proficient in using R and SQL, especially statistical tools and packages.
• Proficiency applying machine learning, LLM-based coding assistants (e.g., Claude Code, Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows.
• Adherence to good software engineering practices (version control, modular code, documentation).
• Experience with code review.
• Communication & Client Focus: Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders.
• Soft Skills: Excellent written and verbal communication skills with strong project management skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems.

Preferred Skillsets

• Experience working with Pharma or drug development.
• Experience in clinical trial design (particularly Phase II-III) in the clinical development space.
• Analytical proficiency with claims, EHR, or registry data.
• Practical experience building, fine-tuning, or configuring LLM-based tools and agentic workflows specifically for scientific discovery.
• Knowledge of oncology guidelines (e.g., NCCN).
• Significant experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets.
• Experience with cloud platforms such as AWS and/or BigQuery and/or Google Cloud Platform (GCP).

USA: $120,000-$170,000

NYC/SF: $130,000-$180,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). 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.

Additionally for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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.