Data Scientist II

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 Real World Evidence (RWE) group within the Pharma R&D team 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 RWE 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 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.

Minimum Qualifications:

• Education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:
  • PhD
  • Master’s degree and 1+ 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

Beneficial:

• 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

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