Clinical Data Scientist
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Job Description
Clinical Data Scientist supporting Federal Government customer by researching and integrating regulatory data with existing datasets. Involved in building data ingestion pipelines and applying advanced analytics for insights generation.
Responsibilities:
- Support a Federal Government customer by researching and ingesting publicly available foreign regulatory data and integrating it with existing datasets.
- Build a sustainable, daily data ingestion pipeline and apply advanced analytics to generate insights and identify high-risk facilities.
- Extract meaningful insights from acquired and existing datasets using advanced analytical techniques.
- Support a proactive, risk-based approach by identifying patterns and indicators of high-risk facilities.
- Prepare and deliver presentations and analytical findings to stakeholders.
- Conduct root-cause analysis and communicate data issues, risks, and gaps to project leadership.
Requirements:
- MS in a qualitative technical field such as computer science, engineering, statistics, or a related field.
- Minimum 5 years of experience in at least one of the following work areas: analytics, biopharmaceutical manufacturing, quality analytics, biotechnology research and development, or other relevant research programs.
- Demonstrate familiarity with Databricks and expertise in either R or Python.
- Must have expertise in web scraping, time-series analysis, and machine learning techniques, with proven ability to apply these skills effectively.
Benefits:
- For information on SFI's benefits, please visit http://www.spatialfront.com/pages/career.html
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