Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. With a single vision as inspiring as “Transforming patients’ lives through science™”, every BMS employee plays an integral role in work that goes far beyond ordinary.
Research Data Coordinator
Location
United States
Posted
3 days ago
Salary
$128.9K - $156.2K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Research Data Coordinator
Bristol Myers Squibb
Role Description BMS seeks a talented, results-oriented individual with a passion for data/information management to support Research initiatives. This hands-on role partners closely with internal study teams, vendors, CROs, and cross-functional stakeholders to ensure research data are effectively managed as a strategic organizational asset, aligned with FAIR data principles, and positioned to meet AI-ready data goals. The Research Data Coordinator will coordinate, curate, validate, and maintain high-quality, reproducible scientific datasets that support research, analytics, and digital transformation initiatives across the R&D lifecycle. The ideal candidate brings experience working collaboratively in cross-functional environments and a strong ability to drive standardized, scalable, and compliant scientific data management practices. What you’ll do - Ensure the accurate, complete and timely collection, delivery and tracking of analytical information from translational research, CRO or collaborating laboratories for analysis, reporting and presentation. - Review clinical protocols and work closely with scientists and clinical data managers to develop and review all external laboratory study-related documents (e.g. Data Transfer Specifications, etc.). - Execute data management activities for external laboratory data for clinical studies. - Coordinate, prioritize, track and complete project management activities. - Manage vendor relationships, receipt of accurate data, and quality control of vendor deliverables pertaining to data transfers, communicating all discrepancies found. - Work with research study teams to develop research information management plans that outline data capture, data flow, data queries, manual checks, and data listings needed to ensure data integrity. - Participate in comprehensive data review activities in coordination with project and study teams. - Collaborate with data scientists, computational scientists, biostatisticians and study scientists to resolve any data issues found during analysis. - Perform data review, and generate data queries to sites or vendors when necessary. - Make data, including interim data, available to research department personnel as required. - Work with data scientists and engineers to develop data management and visualization tools, including gathering and defining user requirements and perform user testing. - Support initiatives to create AI-ready and analytics-ready research datasets through data standardization, harmonization, annotation, and quality control best practices. - Partner with data science and digital teams to improve data structures, ontologies, metadata frameworks, and interoperability standards. - Contribute to the development of data governance practices supporting AI, advanced analytics, and broader digital transformation initiatives across R&D. Qualifications - 3-5 years of experience in scientific data handling. - Bachelor’s Degree in life science, computer science, or related discipline. - Strong understanding of data formats and common quality control practices. - Proficiency in managing the organization of documents and tracking data deliveries, downstream locations, and error handling. - Experience that represents strong attention to detail. - Excellent written and verbal communication, ability to work independently and within a team, and exemplary critical thinking, analytical skills, and judgment. - Proven ability to work in a team environment with clinical personnel, study monitors, computational biologists, biostatisticians, programmers, and medical writers. - Savvy with AWS CLI and working within S3 or similar object storage systems. - Familiarity with programmatically integrating and verifying data according to specifications using R and/or Python. - Experience with implementing agentic AI for data ingestion and quality control, particularly Claude Code. Requirements - Knowledge of FDA/ICH guidelines and industry standard practices regarding data management are helpful but not required. - Detailed knowledge and experience in case report form design, central laboratories, programming databases, query resolution, data validation. - Proficiency with Windows-based computers, and technical acumen with the ability to track and organize large volumes of research data. - Understanding of project management systems such as JIRA. - Familiarity with raw data generated within the context of life sciences – genomics, imaging, etc. - Experience supporting AI/ML, advanced analytics, or digital transformation initiatives 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. - Additional computer skills: detailed knowledge of at least one data management system. Benefits - Health Coverage: Medical, pharmacy, dental, and vision care. - Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). - Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. - Work-life benefits include: - Paid Time Off: flexible time off (unlimited, with manager approval, 11 paid national holidays). - Additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs.
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