Senior Data Scientist

Summary

Join Tempus' Outcomes Research group as a Senior Data Scientist and lead independent analyses of Tempus data for real-world evidence (RWE) studies with large Pharma partners. You will perform extensive coding, derive real-world endpoints, interpret results, and communicate findings to external partners. Collaboration with internal teams is crucial to enhance data quality and analytical best practices. Staying updated on methodological advancements and ensuring regulatory compliance are key responsibilities. This role requires a PhD with 1+ years of experience or a Master's degree with 3+ years of experience in a relevant field, along with proficiency in R and SQL and experience with observational healthcare data. Excellent communication skills and the ability to navigate complex problems are essential.

Requirements

• Education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either : PhD and 1+ years of additional work experience or Master’s degree and 3+ years of additional work experience
• Familiar with observational real world healthcare data, including analytical experience with time-to-event methodologies
• Proven expertise in RWD analytical studies
• Proficient in using R and SQL, especially statistical tools and packages
• Demonstrated experience interfacing with clients, showcasing adeptness in presenting and tailoring messaging to a variety of stakeholders
• Thrive in a fast-paced environment, with excellent project management skills
• Proficient in navigating large, complex problems
• Excellent written and oral communication skills, including a demonstrated ability to communicate technical concepts to non-technical stakeholders
• Eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors

Responsibilities

• Lead independent analysis of Tempus data for RWE studies with large Pharma partners
• Perform extensive coding and derive real-world endpoints, exhibiting deep comprehension of Tempus molecular and clinical data
• Interpret results of RWE analyses to draw appropriate inferences based on study design/statistical methods, while also evaluating study limitations
• Communicate research findings effectively to the external Pharma partner’s RWE and clinical teams, providing strategic recommendations
• Collaborate with internal product, engineering, oncology, bioinformatics, and clinical abstraction teams to continually enhance Tempus data quality, products and analytical best practices
• Stay updated on methodological advancements in real-world studies, oncology guidelines (NCCN and ongoing clinical trials) and their alignment to the evolving oncology landscape within Tempus’ database
• Ensure compliance with all relevant regulations and company procedures

Preferred Qualifications

• Experience working with Pharma or drug development
• Experience of phase II-IV clinical trials
• Analytical proficiency with claims, EHR, or registry data
• Knowledge of oncology
• Experience with biomarker or molecular data e.g. genomics
• Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP)
• Experience producing code in a collaborative environment, using Git, Github and code reviews

Benefits

• Incentive compensation
• Restricted stock units
• Medical and other benefits