Quantitative Scientist / Biostatistician, Health and Wellbeing

The Meta Health and Wellbeing team is seeking a quantitative scientist or biostatistician who will report to the Manager of Health and Wellbeing Research and execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. In this role, you will work in and closely with interdisciplinary teams of product managers, engineers, clinicians, researchers and biostatisticians to plan and execute research of novel digital approaches to measuring and improving health and wellness.

Quantitative Scientist / Biostatistician, Health and Wellbeing 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 and wellbeing research, engineering and product, providing analytic support that spans traditional biostatistical and data science (e.g. machine learning) methods.
• Maintains knowledge of current and emerging trends in data science.
  
  

Minimum Qualifications:

• Masters Degree in Biostatistics, Bioinformatics, Biomedical Engineering, Data Science with 5 years of experience or PhD.
• Relevant experience in data science, biostatistics, machine learning, clinical/health outcomes research, digital health and wellbeing assessment, in academic or industrial settings
• Experience working in multidisciplinary research and/or product development teams
• Experience with evaluating machine learning models at scale.
• Experience in execution/reporting of results of digital health research projects.
• Programming skills to execute the above in Python and R, developing reusable and well-documented code, familiar with software development lifecycle.
• 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:

• Direct industrial experience in consumer/digital health and wellbeing 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 signal data processing.
• Experience in deep learning and PyTorch.
• Experience in developing algorithms and specialized software tools for biomedical measurement data.
• Familiar with data pipeline and data investigation.
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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 accommodations-ext@fb.com.

$114,000/year to $171,000/year bonus equity benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.