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Meta Platforms, Inc.
Burlingame, CA, United States
The Meta Health and Wellbeing team is seeking a biostatistician who will report to the Manager of Health and Wellbeing Research and work alongside senior members to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. The ideal candidate will have expertise in the development and execut
Job Source: Meta Platforms, Inc.Meta
Burlingame
**Summary:** The Meta Health and Wellbeing team is seeking a biostatistician who will report to the Manager of Health and Wellbeing Research and work alongside senior members to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. The ideal candidate will have expertise in the developme
Job Source: MetaStanford Blood Center
Palo Alto, CA, United States
The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatistics and informatics, to mentor and educate clinical investigators in research methods, and to mentor data scientists so that they can reach their full potential. The QSU achieves its mission through an in
Job Source: Stanford Blood CenterStanford University
Palo Alto, CA, United States
The mission of the Quantitative Sciences Unit (QSU) is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatistics and informatics, to mentor and educate clinical investigators in research methods, and to mentor data scientists so that they can reach their full potential. The QSU achiev
Job Source: Stanford UniversityStanford University
Palo Alto, CA, United States
The mission of the Quantitative Sciences Unit (QSU) is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatistics and informatics, to mentor and educate clinical investigators in research methods, and to mentor data scientists so that they can reach their full potential. The QSU achiev
Job Source: Stanford UniversityMiwtech
San Francisco, CA, United States
** Device Engineer/Tech Support Specialist For Fitness Wearable Tech** * Services - Search Engine * San Francisco, United States ** Device Engineer/Tech Support Specialist For Fitness Wearable Tech** ** Job description** **Location: Onsite in San Francisco** The Device Engineer or Tech Support Specialist, performs routine technical tasks and ex
Job Source: MiwtechAbbott Laboratories
Alameda, CA, United States
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Job Source: Abbott LaboratoriesAbbott
Alameda, CA, United States
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Job Source: AbbottBurlingame, CA, United States
The Meta Health and Wellbeing team is seeking a biostatistician who will report to the Manager of Health and Wellbeing Research and work alongside senior members to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world. The ideal candidate will have expertise in the development and execution of model evaluation, statistical analysis plans and analytic programming and reporting for clinical/health outcomes research studies and 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 senior biostatisticians to plan and execute research of novel digital approaches to measuring and improving health and wellness.
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 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
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Master's degree in Biostatistics, Bioinformatics, Biomedical Engineering or other relevant analytic/data science field
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
2+ years of experience with evaluating machine learning models at scale
Expertise in execution and reporting of results of digital health research projects
Programming expertise to execute the above in Python and R, writing reusable and well-documented code, familiar with software development lifecycle
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 deep learning and PyTorch
Experience in developing algorithms and specialized software tools for biomedical measurement data.
Familiar with data pipeline and data investigation
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Email Alert for Biostatistician- Wearable Devices jobs in Burlingame, CA, United States
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