Senior Data Scientist II, Real World Evidence

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 Sr. Data Scientist II, RWE with experience and interest in oncology and clinical/epidemiological study design and execution to join our team. Top candidates will have experience working with observational healthcare or clinical trial data, and expertise in biostatistics, epidemiology, and/or real-world data analytics.

Responsibilities:

• Spearhead analyses of Tempus data for RWE studies in collaboration with major pharmaceutical partners.
• Advance Tempus' offerings to pharmaceutical partners by leading projects that incorporate cutting-edge machine learning and artificial intelligence techniques.
• Execute advanced coding and derive real-world endpoints, demonstrating a deep understanding of Tempus' molecular and clinical datasets.
• Provide mentorship to junior colleagues on technical skills, fostering their professional growth and enhancing team capabilities.
• Analyze and interpret RWE study results to draw appropriate inferences, considering study design and statistical methodologies, while also assessing study limitations.
• Articulate research findings to external Pharma partners' RWE and clinical teams, offering strategic insights and recommendations.
• Collaborate with internal teams, including engineering, oncology, bioinformatics, and clinical abstraction, to continuously improve Tempus data quality, products, and analytical best practices.
• Stay on top of the latest methodological advancements in real-world studies and oncology guidelines (NCCN and ongoing clinical trials), ensuring alignment with the evolving oncology landscape within Tempus’ database.
• Ensure compliance with all relevant regulations and company procedures.

Minimum Qualifications:

• Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:
• PhD and 4 years of additional work experience
• Master’s degree and 6 years of additional work experience
• Extensive experience with observational real-world healthcare data, including proficiency in time-to-event analytical methodologies.
• Applicable knowledge of machine learning and statistical modeling. 
• Demonstrated success in leading RWD analytical studies.
• Proficient in using R and SQL, with a strong command of statistical tools and packages.
• Proven track record of mentoring junior colleagues.
• Experience interfacing with external stakeholders, with the ability to present and tailor messaging to diverse stakeholders.
• Thrive in a fast-paced environment with exceptional project management skills.
• A collaborative mindset, with proven ability to work with teams of multi-disciplinary scientists to define and execute analysis plans
• Adept at navigating and solving large, complex problems.
• Excellent written and oral communication skills, including a demonstrated ability to communicate technical concepts to non-technical stakeholders.
• Eagerness to learn, driven to make a positive impact in healthcare, 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 expertise with claims, EHR, or registry data.
• Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
• 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.
• Experience with R package development.

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