Knowledge Science Research - Senior Scientist - Research Data CoordinatorBMS 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
Basic 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
Preferred Qualifications:- 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
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Compensation Overview:Remote - United States - US: $128,890 - $156,179
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- 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
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
