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Meta Clinical Research Data Scientist in Helena, Montana


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


The Meta Health Technology team is seeking a Clinical Research Data Scientist who will report to the Director of Health Technology Research and work alongside a 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 statistical analysis plans and analytic programming and reporting for clinical/health outcomes research studies, clinical trials, 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 a biostatistician to plan and execute research and validation of novel digital approaches to measuring and improving health and wellness.

Required Skills:

  1. Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data

  2. advises and assists in the development of inferences and conclusions, as appropriate

  3. Assist in the preparation of clinical trial documents, reports, protocols, brochures, scientific abstracts, peer-reviewed manuscripts, and regulatory communications

  4. Maintains the highest of clinical research standards to ensure validity and reproducibility of results

  5. performing careful data cleaning activities including handling data discrepancies, missing values, outliers and normalization

  6. Work effectively across health technology research, engineering and product, providing analytic expertise that spans traditional biostatistical and data science (e.g. machine learning)

Minimum Qualifications:

  1. At least 5 years of relevant experience in data science/biostatistics, clinical/health outcomes research, digital health technology assessment, in academic or commercial settings

  2. Experience working in multidisciplinary research and/or product development teams

  3. Proficiency in managing/building data structures to support large datasets

  4. Expertise in execution/reporting of results of clinical/digital health research projects and pivotal studies

  5. Programming expertise relevant to/as needed to execute the above (e.g. R, Python, SQL), writing reusable and well-documented code

  6. Masters in Biostatistics or other relevant analytic/data science field

  7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

  1. 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)

  2. Experience in planning, analyses and reporting for regulatory studies for consumer/digital health technologies and/or innovative medical or health devices

  3. Scientific publication record

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at