Clinical Data Scientist

DRT Strategies, Inc.•Silver Spring, MD

26d•$95,000 - $125,000

About The Position

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. 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.

Requirements

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.
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.
At least 3 years of Full stack data scientist experience.

Nice To Haves

FDA experience
PhD preferred

Responsibilities

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
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.