Discovery Research Domain Analyst, IT Business Analyst
Compensation
Not disclosed
Location
Princeton - NJ - US
Work setup
Not specified
Seniority
Intern
Employment
Internship
Experience
2+ years
Category
Business analysis
Posted
Skills
acceptance-criteria
ai
analytics
data-governance
data-modeling
data-quality
machine-learning
user-stories
Must have
B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
Practical experience or strong academic grounding in early life sciences domains, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Disco
Familiarity with Research workflows in pharmaceutical or biotech settings.
2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
Ability to learn new tools and adapt in a dynamic environment.
IIBA Certification or similar Business Analysis Certification is a plus.
Nice to have
Strong commitment to a career in technology with a passion for healthcare.
Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts
Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
Full description
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.
Bristol Myers Squibb is seeking a curious, collaborative, and detail-oriented individual to support innovation in early drug discovery through data. As part of the Molecular Invention Data Product Team, this role will contribute to the analysis, documentation, testing, and improvement of data solutions that enable predictive and AI-informed research across Drug Discovery domains, including Molecular Invention (MI), Early Biology, and Preclinical Research.
Key Responsibilities:
Work with Research stakeholders to understand scientific data workflows, capture needs, and document business requirements with guidance from senior team members.
Translate scientific needs into clear user stories, acceptance criteria, process notes, and requirements for IT and engineering teams.
Support demand intake and analysis by mapping workflows, identifying friction points, and escalating risks or open questions to product and business analysis leads.
Represent researcher context in product discussions by sharing observations, clarifying use cases, and helping validate whether delivered capabilities meet defined needs.
Collaborate with Data Engineers to support data collection, testing, validation, issue tracking, and continuous improvement of data products.
Maintain field-level metadata, business glossaries, and documentation that support FAIR-aligned practices.
Support alignment of identifiers, terminology, and definitions across MI data sources to improve downstream integration and analytics.
Participate in stakeholder conversations, summarize feedback, clarify expectations, and help build trust in data product capabilities.
Stay aware of relevant industry practices and emerging approaches to scientific data challenges, sharing observations with the team as appropriate.
Communicate clearly with scientific and technical audiences, escalating ambiguity and summarizing decisions, risks, and follow-ups.
Demonstrate a growth mindset and ownership for developing business analysis, data literacy, AI/ML awareness, and Pharmaceutical R&D knowledge.
Qualifications:
B.S. or M.S. in a relevant life sciences, informatics, data, or technical discipline; advanced degree a plus.
Practical experience or strong academic grounding in, with interest in Molecular Invention research areas such as Biologics, Sequencing, Protein Engineering, Antibody Discovery, Chemistry, or related fields.
early life sciences domains
Familiarity with Research workflows in pharmaceutical or biotech settings.
2+ years of experience in IT, informatics, data analysis, business analysis, or a scientific data-focused role; relevant graduate research or internship experience may be considered.
Ability to collaborate effectively with scientific and technical teams while following established processes and seeking guidance when needed.
Analytical problem-solving skills with the ability to organize information, identify patterns, document issues, and recommend practical next steps.
Ability to learn new tools and adapt in a dynamic environment.
IIBA Certification or similar Business Analysis Certification is a plus.
Desired Skills:
Strong commitment to a career in technology with a passion for healthcare.
Analytical thinker with strong communication and collaboration skills, able to effectively communicate complex ideas and concepts
Good stakeholder engagement skills, with the ability to listen, ask clarifying questions, document needs, and build alignment in straightforward to moderately complex situations.
Curious problem-solver who contributes ideas for improving workflows, documentation, data quality, and user experience.
Familiarity with data product development, data modeling, data governance, analytics, or modern research data platforms.
We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.
The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.
Benefits:
Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.
Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.
U.S.-based job seekers can explore full benefit offerings at
How We Work
Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
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R1605714 : Discovery Research Domain Analyst, IT Business Analyst