Senior Data Scientist II, Real World Evidence

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United States

Senior Data Scientist II, Real World Evidence

Brighton

GBP 125,000 - 150,000

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.