Principal Clinical Data Scientist- Data Management
Listed on 2026-01-24
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Data Warehousing
Principal Clinical Data Scientist
- Data Management
Updated: December 16, 2025
Location: Morrisville, NC, United States
Job :
Description
Principal Clinical Data Scientist
- Data Management
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.
Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.
Whether you join us in a Functional Service Provider partnership or a Full‑Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives.
Discover what our 29,000 employees, across 110 countries already know:
WORK HERE MATTERS EVERYWHERE- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
- We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
The Principal Clinical Data Scientist provides strategic and operational leadership for end‑to‑end clinical data collection, cleaning, and quality oversight across complex clinical studies. This role serves as the functional lead for Clinical Data Science, ensuring clinical data deliverables are fit for purpose, compliant with regulatory and contractual requirements, and aligned with sponsor expectations and study timelines. The position partners cross‑functionally to drive data quality, risk mitigation, analytics innovation, and timely delivery of clinical data milestones.
Responsibilities- Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi‑scope clinical projects and act as the primary liaison between Clinical Data Science, Project Management, Clinical Monitoring, and other functional groups.
- Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data‑related issues; recommend solutions and elevate issues impacting patient safety, data integrity, or study analysis.
- Act as the central steward of clinical data quality through holistic review of clinical and operational data using detailed protocol and therapeutic area knowledge.
- Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses.
- Coordinate cross‑functional data cleaning activities to meet quality standards, timelines, and contractual obligations.
- Communicate, troubleshoot, and resolve complex data‑related issues; recommend solutions and elevate issues impacting patient safety, data integrity, or study analysis.
- Develop Clinical Data Acquisition Plans and data flow diagrams for complex studies and align data flow with study protocols, regulatory requirements, and study endpoints.
- Assess risks related to protocol design, program‑level strategies, and study parameters that may impact data credibility and trial reliability.
- Design and drive development of analytical tools and dashboards to identify potentially unreliable or high‑risk data.
- Perform analytic reviews as defined in the scope of work and data acquisition plans; identify root causes and implement systematic resolutions.
- Demonstrate understanding of advanced technologies and assess their applicability to individual studies or programs.
- Monitor and communicate project progress using status…
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