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Senior Data Scientist II, Real World Evidence - Remote

Posted 5 weeks ago

Overview

An overview paragraph about the job

In Short

  • 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.

Requirements

  • 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.

Benefits

  • 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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