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Facebook Quantitative Scientist / Biostatistician Health Wellbeing United States, California 971824529
17.04.2025
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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
$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 at Meta.
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