Data Scientist

Proclinical · Fort Worth, United States
Location
Fort Worth, United States
Type
Full-time
Salary
Not stated
Posted
12 Nov 2026

Verified open 14 Nov 2026 · Source: Company careers page

About the role

Data Scientist - Permanent - TX & NC Are you passionate about laboratory operations and equipment management, with a keen eye for documentation, compliance, and process improvement? Proclinical is seeking a Data Scientist to support a multi-site research program focused on collecting neural and behavioral data from clinical settings. This role will serve as the principal technical authority on data quality, ensuring incoming data meets rigorous standards for downstream research and AI modeling. Primary Responsibilities: The successful candidate will play a pivotal role in developing scalable quality control methods and infrastructure as the program expands. This position is ideal for someone with expertise in computational neuroscience and a passion for working with real-world clinical data. Skills & Requirements: Strong background in computational neuroscience or related field. Proficiency in handling and analyzing messy, real-world clinical data. Experience developing and deploying quality control metrics for complex datasets. Familiarity with machine learning techniques for anomaly detection and process optimization. Ability to design model-based validation methods for scientific data. Excellent communication skills to provide clear and reproducible data assessments. Proven ability to collaborate with diverse teams, including site personnel and research stakeholders. Adaptability to refine methodologies and scale infrastructure as the program grows. The Data Scientist's responsibilities will be: Evaluate incoming data from partner sites using defined technical criteria to ensure quality standards for research and modeling. Develop and implement formal quality metrics for neural and behavioral data, including electrophysiological recordings and behavioral task data. Design and apply model-based validation techniques to confirm data suitability for scientific use. Utilize machine learning for anomaly detection and streamline quality control processes as data volume increases. Provide clear, objective, and reproducible rationale for data quality determinations. Monitor and report on quality control outcomes across sites, identifying patterns, training needs, and areas for improvement. Collaborate with site personnel and stakeholders to troubleshoot and resolve data quality issues. Refine quality control standards and methodologies as the program evolves. Work with research team members to explore innovative uses of the collected data. If you are having difficulty in applying or if you have any questions, please contact Jared Hannigan at j.hannigan@proclinical.com. If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.   Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.  By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.proclinical.com/privacy-policy

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