Clinical Data Scientist
4 weeks ago
Apex Systems is seeking an experienced Clinical Data Scientist for one of our Fortune 50 clients
Job Title: Clinical Data Scientist
Location: Burlingame, CA
Schedule: Hybrid - 2/3 days onsite.
Duration: 7 month W2 contract, potential for long term extensions and conversion.
The 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 scientists, biostatisticians, machine learning and signal processing scientists to 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 other senior clinical research data scientist / biostatistician to plan and execute research and validation of novel digital approaches to measuring and improving health and wellness.
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.
Clinical Research Data Scientist - 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.
● Execute and evaluate machine learning model performance.
● 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, signal processing) methods.
● Maintains knowledge of current and emerging trends in data science.
Minimum Qualifications
● Relevant experience in data science / biostatistics, machine learning, clinical/health outcomes
research, digital health technology in academic or commercial settings
● Experience working in multidisciplinary research and/or product development teams.
● Expertise in execution/reporting of results of clinical/digital health research projects and pivotal studies
● Python Programming expertise relevant to / as needed to execute the above, writing reusable and well-documented code.
● Experience with evaluating machine learning models at scale and building ML pipelines
● Relevant experience using PyTorch
● Light experience with time series data and signal processing
Preferred Qualifications
● Experience working with medical devices / wearable devices / hardware devices
● Experience in developing CDSIC SDTM and ADaM standards.
● Scientific publication record.
● PhD in Biostatistics or other relevant analytic/data science field
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