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Senior Clinical Data Scientist - Applied Data Enablement Jobs

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Senior Data Scientist - Clinical Informatics (Analytics Enablement)
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Senior Data Scientist - Clinical Informatics role in New York, driving analytics enablement at CVS Health. Leverage 4+ years of expertise in clinical data (CCD, ICD-10, SNOMED-CT) and SQL to design data models and taxonomies. Build reusable assets, dashboards, and feature stores while enabling do...
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United States , New York
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Salary
101970.00 - 203940.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
Until further notice

About the Senior Clinical Data Scientist - Applied Data Enablement role

Explore high-impact Senior Clinical Data Scientist jobs within Applied Data Enablement, a critical domain at the intersection of advanced analytics, clinical research, and healthcare technology. Professionals in this senior role are pivotal in transforming complex clinical data into actionable insights that accelerate drug development, enhance patient outcomes, and streamline clinical operations. This is not merely an analytical position; it is a strategic function focused on building the robust data foundations and innovative analytical frameworks that enable evidence-based decision-making across the pharmaceutical, biotechnology, and medical device industries.

A Senior Clinical Data Scientist in Applied Data Enablement typically spearheads the design and implementation of sophisticated data pipelines and analytical models. Common responsibilities include curating and integrating diverse data sources—such as electronic health records (EHR), genomic data, real-world evidence (RWE), and data from clinical trials—to create a unified, analysis-ready data ecosystem. They develop advanced statistical models and machine learning algorithms to uncover trends in disease progression, treatment efficacy, and patient safety. Furthermore, they play a key consultative role, collaborating with cross-functional teams including clinical development, medical affairs, and regulatory affairs to define data strategy, ensure data quality, and translate analytical findings into clear, compelling narratives for internal stakeholders and regulatory bodies.

Typical skills and requirements for these jobs are extensive. Candidates generally possess an advanced degree (Ph.D. or Master's) in Data Science, Biostatistics, Computational Biology, or a related quantitative field. They must have deep expertise in statistical programming languages (R, Python, SAS), experience with big data technologies (Spark, SQL databases), and a strong understanding of clinical research methodologies and regulatory guidelines (e.g., ICH-GCP, FDA/EMA submissions). Essential soft skills include strategic problem-solving, exceptional communication to explain complex concepts to non-technical audiences, and project leadership to mentor junior scientists and drive initiatives. For those seeking to leverage data science for tangible patient impact, Senior Clinical Data Scientist jobs in Applied Data Enablement offer a challenging and rewarding career path at the forefront of medical innovation.

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