
Research Data Coordinator
Posted Aug 7

Posted Aug 7
This is a fully remote position, open to applicants in United States.
• Create and assess Data Transfer Specifications documents.
• Oversee the complete data flow from CROs, central laboratories, and specialized vendors into BMS systems.
• Guarantee the precise, thorough, and prompt collection, delivery, and tracking of analytical data.
• Conduct data management tasks for external laboratory data related to clinical studies.
• Organize, prioritize, monitor, and finalize project management activities.
• Maintain vendor relationships and ensure quality control of vendor data transfer outputs.
• Formulate research information management plans in collaboration with study teams.
• Engage in thorough data review processes.
• Work together with data scientists, computational scientists, biostatisticians, and study scientists to address data discrepancies.
• Execute data reviews and create data queries for sites or vendors.
• Provide interim and other research data to research staff.
• Implement standards, annotations, and quality checks to support FAIR and AI-ready data objectives.
• Specify user requirements and evaluate data management and visualization tools alongside data science and digital partners.
• 3–5 years of experience coordinating external laboratory or vendor-sourced data for clinical or translational studies.
• Bachelor’s degree in life sciences, computer science, or a related field.
• Strong grasp of data formats and standard quality control practices.
• Skilled in organizing documents and tracking data deliveries, downstream locations, and error resolutions.
• Exceptional attention to detail.
• Outstanding written and verbal communication skills.
• Capacity to work autonomously and collaboratively within a team.
• Strong critical thinking, analytical abilities, and judgment.
• Experience collaborating with clinical personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers.
• Proficient in AWS CLI and S3 or similar object storage platforms.
• Familiarity with programmatically integrating and validating data using R and/or Python.
• Experience implementing agentic AI for data ingestion and quality assurance, especially Claude Code.
• Knowledge of FDA/ICH guidelines and industry-standard data management practices is advantageous but not mandatory.
• Proficient in using Windows-based computers.
• Understanding of project management systems such as JIRA.
• Familiarity with life sciences raw data, including genomics and imaging.
• Experience supporting AI/ML, advanced analytics, or digital transformation projects in healthcare or pharma.
• Familiarity with CDISC, FAIR principles, controlled vocabularies, ontologies, or research data standards.
• Understanding of GxP, HIPAA, GDPR, or other regulated research environments.
• In-depth knowledge of at least one data management system.
• Health coverage: medical, pharmacy, dental, and vision care.
• BMS Well-Being Account.
• BMS Living Life Better program.
• Employee Assistance Programs (EAP).
• 401(k) retirement plan.
• Short- and long-term disability benefits.
• Life insurance coverage.
• Accident insurance.
• Supplemental health insurance options.
• Business travel protection.
• Personal liability protection.
• Identity theft protection.
• Legal assistance.
• Survivor support services.
• Paid time off policies.
• Flexible time off for US exempt employees, subject to manager approval.
• 11 paid national holidays.
• 160 hours of annual paid vacation for eligible new hires, with manager approval.
• 3 optional holidays for eligible employees.
• Unlimited paid sick leave, dependent on eligibility.
• Up to 2 paid volunteer days annually, based on eligibility.
• Flexible summer hours, depending on eligibility.
• Leaves of absence available for medical, personal, parental, caregiver, bereavement, and military needs.
• Annual Global Shutdown between Christmas and New Year’s Day, based on eligibility.
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