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# Clinical Data & Biometrics Associate Consultant

- **Company:** Analytics Insights Group LLC / DBA Analytics Insights LLC
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Health Informatics, Biometrics, Clinical Data Management, Clinical Data Repository, Data Transformation, Google Cloud, Data Management, Veeva, Wearables
- **Published:** September 20, 2026
- **Apply:** https://www.dice.com/job-detail/3362fbee-5abc-4476-a383-11bce7e97b05

## About the Role

* Bachelor's or master's degree required in any scientific, analytical, or technical discipline with strong record of academic success
 * 3-5 years of relevant post-collegiate experience in clinical data management, statistical programming, biometrics, or related clinical development functions within a pharmaceutical sponsor, biotechnology company, or CRO. Candidates must have direct hands-on experience supporting Phase I, II, III, or IV human clinical trials and working with the systems, processes, and data generated throughout the clinical trial lifecycle. A PhD may substitute in lieu of work experience
 * Demonstrated ability to lead workstreams, gather and manage requirements, and collaborate with cross-functional and client stakeholders in a structured, project-delivery environment
 * Ability to act as a client-facing consultant, communicating technical concepts to non-technical audiences and supporting project delivery
 * Hands-on experience with clinical trial datasets, including EDC (e.g., Medidata Rave, Veeva EDC) and non-EDC sources (e.g., central laboratory data, ECG, ePRO/eCOA, imaging, PK/PD, wearables, real-world data)
 * Demonstrated experience supporting the execution, management, analysis, or submission of data from Phase I-IV human clinical trials. Strong understanding of Google Cloud Platform, clinical trial operations, and regulatory expectations for analysis and submission datasets
 * Familiarity with clinical trial data standards (e.g., CDISC, SDTM) and biological/RWE datasets used for reuse in clinical analytics
 * Interest in and exposure to AI, automation, or advanced analytics in R&D/CDM/biometrics, and motivation to help clients adopt AI-enabled ways of working from source to submission
 * Fluency in English
 * Client-first mentality
 * Intense work ethic
 * Collaborative spirit and problem-solving approach

Required: Experience directly supporting human clinical trials (Phase I-IV) through clinical data management, statistical programming, biometrics, clinical operations, or related functions. Experience limited to preclinical research, observational studies, real-world evidence, healthcare analytics, or non-interventional data environments will not meet the requirements for this role.

## Description

What You'll Do: Decision Analytics Associate Consultant in the Drug Development Practice Area will...

 * Lead, or co-lead workstreams within larger engagements, managing day-to-day activities, timelines, and deliverables while ensuring project quality
 * Drive clinical data and biometrics transformation initiatives across clinical data management, statistical programming, and biostatistics for pharmaceutical sponsors and CROs
 * Work directly with cross-functional teams supporting ongoing and completed Phase I, II, III, and IV clinical trials, contributing to the collection, management, transformation, analysis, and submission of human clinical trial data throughout the study lifecycle
 * Analyze current-state clinical data flows, systems, and standards (e.g., EDC platforms, non-EDC sources, CDISC SDTM, ADaM) and define future-state architectures and processes
 * Design, specify, or oversee data transformation pipelines that take EDC and non-EDC data from sources systems to submission-ready datasets
 * Shape and deliver AI-focused programs that improve how CDM and SP work is performed (e.g., automation of data review, anomaly detection, edit-check optimization, programming productivity, documentation generation)
 * Partner cross-functionally with clinical operations, data management, biostatistics, statistical programming, and IT teams, serving as a bridge between technical analytics and business needs
 * Collaborate with AI, data science, and technology teams


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