Clinical Research Data Scientist, Health Technology

Meta Platforms, Inc.
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Job Description

The Meta Health Technology team is seeking a clinical research data scientist / biostatistician who will report to the Manager of Health Technology Research and work alongside clinical research data scientist / biostatistician to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. The ideal candidate will have experience/expertise in the development and execution of model evaluation, statistical analysis plans and analytic programming and reporting for clinical/health outcomes research studies and/or digital health research studies. The ideal candidate brings experience working in interdisciplinary teams, including across both traditional biostatistics and data science/machine learning domains. A successful candidate in this role is highly collaborative as well as self-driven, passionate, and able to execute consistently in a fast-paced environment. In this role, you will work in and closely with interdisciplinary teams of product managers, engineers, clinicians, researchers and other clinical research data scientist / biostatistician to plan and execute research of novel digital approaches to measuring and improving health and wellness.

Clinical Research Data Scientist, Health Technology Responsibilities

  • Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data
  • advises and assists in the development of inferences and conclusions, as appropriate.
  • Executes and evaluates machine learning model performance.
  • Maintains the highest of clinical research standards to ensure validity and reproducibility of results
  • performs careful data cleaning activities including handling data discrepancies, missing values, outliers, normalization etc.
  • Works effectively across health technology research, engineering and product, providing analytic expertise that spans traditional biostatistical and data science (e.g. machine learning) methods.
  • Maintains knowledge of current and emerging trends in data science.

Minimum Qualifications

  • Experience in data science / biostatistics, machine learning, clinical/health outcomes research, digital health technology assessment, in academic or industrial settings
  • Experience working in multidisciplinary research and/or product development teams
  • Experience with evaluating machine learning models at scale.
  • Expertise in execution/reporting of results of digital health research projects
  • Programming expertise relevant to / as needed to execute the above (Python), writing reusable and well-documented code.
  • Advanced degree in Biostatistics, Bioinformatics, Biomedical Engineering or other relevant analytic/data science field
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications

  • Direct industrial experience in consumer/digital health technology product development and/or research, with demonstration of success working within and across multidisciplinary teams (e.g. project/product managers, software engineers, research scientists, machine learning data scientists).
  • Experience in deep learning and PyTorch
  • Experience in developing algorithms and specialized software tools for biomedical measurement data.
  • Programming expertise using R
  • Familiar with data pipeline and data investigation

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

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