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Clinical Data Scientist
DRT Strategies, Inc.Silver Spring, United Statesfull_timeVerifiedPosted 1 Dec 2025
💰 $125,000/yr($95,000/yr – $125,000/yr)
About the role
Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.
Project Description:
This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program.
Job Summary:
Non-technical activities: Extract valuable insights from the acquired and existing data by employing advanced techniques such as time-series analysis, trend analysis, and machine learning (including clustering, natural language processing, and outlier identification). These techniques are intended to maximize the value derived from the available data, foster a proactive approach, and effectively identify high-risk facilities.
Technical activities: Serves as a specialist in the application of data science, operations research, computer science, mathematics, and statistics, to design data modeling processes, conduct data mining operations, uncover hidden patterns in the data, and create algorithms and predictive models to extract insights.
Responsibilities:
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.
Project Description:
This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program.
Job Summary:
Non-technical activities: Extract valuable insights from the acquired and existing data by employing advanced techniques such as time-series analysis, trend analysis, and machine learning (including clustering, natural language processing, and outlier identification). These techniques are intended to maximize the value derived from the available data, foster a proactive approach, and effectively identify high-risk facilities.
Technical activities: Serves as a specialist in the application of data science, operations research, computer science, mathematics, and statistics, to design data modeling processes, conduct data mining operations, uncover hidden patterns in the data, and create algorithms and predictive models to extract insights.
Responsibilities:
- Utilize data mining techniques and web scraping tools to extract valuable insights and information from various sources, such as websites and databases.
- Apply experience with business intelligence, analytics, reporting, and data transformation skills to drive insights.
- Apply knowledge and experience in analytics and statistics to analyze and interpret the data effectively.
- Apply knowledge of data types, formats, data architecture, and pipeline optimization techniques to effectively manage and process data.
- Technical strategy: Demonstrate analytical capabilities and critical thinking skills and ability to identify new issues, trends, and opportunities from data.
- Operational Excellence: Ensure the reliability, efficiency, and quality of data services and pipelines.
- Perform hands-on work with data analysis, validation, and quality assurance.
- Prepares and delivers presentations.
- Research and identifies root cause/data issues. Ensure timely delivery of reports and manage conflicting priorities and customer expectations.
- Performs periodic check-ins for status and feedback. Identifies gaps in the system and communicate them to the solution project leads/program manager.
- MS in a qualitative technical field such as computer science, engineering, statistics, or 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 area relevant research programs.
- Strong git and collaborative development experience required
- Pyspark/Spark experience required
- Strong R/RShiny skills required
- Strong Python skills required
- Advanced SQL experience required
- Familiarity with a broad range of ML techniques and their implementation
- Excellent written and verbal communication skills
- Excellent analytical skills with an emphasis on data exploration and data wrangling
- Databricks experience preferred
- Biological science/pharmaceutical background preferred
- Must have expertise in
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