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.

The Outcomes Research group within the Data Business Unit  at Tempus works with pharmaceutical partners to provide best-in-class data, analysis, and methodological guidance to Tempus’s real-world data offering. We are seeking a highly motivated and solutions-oriented Outcomes Research Data Scientist with experience and interest in oncology and clinical/epidemiological study design and execution to join our team. Top candidates will have experience working with clinical and research data pipelines, and/or performing biostatistical, epidemiological, or real-world data analytics on observational healthcare data.

Responsibilities:

• Lead independent analysis of Tempus data for RWE studies 
• Perform extensive coding and derive real-world endpoints, exhibiting deep comprehension of Tempus molecular, clinical data and 3rd party claims 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 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.

Minimum Qualifications:

• Education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:
• PhD
• 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 
• Analytical proficiency with claims and EHR data 
• 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
• Knowledge of oncology
• 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

Beneficial:

• Experience working with Pharma or drug development
• Experience of phase II-IV clinical trials
• 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

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