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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