Meta AR/VR Job | Clinical Research Data Scientist | Oculus
Type（岗位类型）: Data Science | Research
Citys（岗位城市）: Remote, US | Burlingame, CA | New York, NY
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 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 other Clinical Research Data Scientist/Biostatistician to plan and execute research and validation of novel digital approaches to measuring and improving health and wellness.
Relevant experience in data science/biostatistics, clinical/health outcomes research, digital health technology assessment, in academic or commercial settings
Experience working in multidisciplinary research and/or product development teams
Proficiency in managing/building data structures to support large datasets
Experience in developing CDSIC SDTM and ADaM standards
Expertise in execution/reporting of results of clinical/digital health research projects and pivotal studies
Programming expertise relevant to/as needed to execute the above (R and Python), writing reusable and well-documented code
Masters in Biostatistics or other relevant analytic/data science field
Uses a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data.
Advises and assists in the development of inferences and conclusions, as appropriate.
Define and develop standardized clinical datasets following CDISC standards.
Assist in the preparation of clinical trial documents, reports, protocols, brochures, scientific abstracts, peer-reviewed manuscripts, and regulatory communications.
Maintains the highest of clinical research standards to ensure validity and reproducibility of results.
Performing careful data cleaning activities including handling data discrepancies, missing values, outliers, normalization etc.
Work 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.
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 planning, analyses and reporting for regulatory studies for consumer/digital health technologies and/or innovative medical or health devices.
Scientific publication record.
PhD in Biostatistics or other relevant analytic/data science field.