Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not Disclosed
- Location
- Uxbridge, United Kingdom
- Work arrangement
- Hybrid
- Employment
- Full-time
- Experience
- Pharmaceutical and/or Epidemiology/ Outcomes Research experience.
- Education
- Advanced degree in a quantitative discipline such as biostatistics, epidemiology or a related field.
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Role Summary
This individual-contributor role conducts non-interventional real-world data research projects for medical, HEOR, and other customer groups in international markets. The work spans study planning and data analysis through interpretation and presentation of findings.
What You'll Do
- Identify appropriate data sources and acquire and store project data.
- Engage customers in study concept development and preparation of protocols and statistical analysis plans.
- Oversee or perform statistical programming and analysis, and deliver results in appropriate formats.
- Assist with follow-up questions and interpretation of results.
- Communicate findings orally and in writing and contribute to dissemination such as abstracts and manuscripts.
- Balance demands from multiple customers while executing projects across therapeutic areas, assets, study designs, and data sources.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: An advanced degree in a quantitative discipline; pharmaceutical and/or epidemiology or outcomes research experience; understanding and use of primary and/or secondary patient data for real-world research; ability to analyze observational data for pharmaco-epidemiology, outcomes research, and market research; research project management and communication skills; proficiency in R; ability to write or critically review scientific content and analytical sections of protocols, statistical analysis plans, final reports, and dissemination; interest in and working knowledge of AI tools; and ability to apply statistical methods such as survival analysis and logistic or multivariate regression.
Required
- An advanced degree in a quantitative discipline such as biostatistics, epidemiology or a related field.
- Pharmaceutical and/or epidemiology or outcomes research experience.
- Deep understanding of secondary and/or primary patient data sources and demonstrated ability to use them for real-world research and...
- Ability to analyze observational data for pharmaco-epidemiology, outcomes research, and market research.
- Ability to manage research projects and communicate study objectives, methods, and findings effectively.
- Proficiency in R programming to execute studies.
- Ability to write or critically review scientific content and analytical sections of protocols, statistical analysis plans, final...
- Demonstrated interest in and working knowledge of AI tools to support research activities.
Preferred
- Ability to program more advanced analytics and use GitHub.
- Knowledge of machine-learning methods such as clustering, prediction, and NLP.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
Position Purpose
As part of the Real-world Data Research (RWDR) team, you will get the opportunity to work with a collaborative team in an inclusive and supportive environment.
You will be an individual contributor responsible for performing non-interventional research projects in support of key customer groups including medical and health economics and outcomes research (HEOR) and others for International Markets (Europe, APAC and rest of world).
Project work includes identification of appropriate data sources, input into the study design, overseeing programming, analysis and summary of data and collaboration with stakeholders on interpretation and presentation of results.
You will have the opportunity to contribute towards team/department initiatives with goals of optimizing and innovating RWD research.
Key Responsibilities
- Conduct thorough and careful analysis of data, including:
- Overseeing programming of the appropriate statistical analyses (including performing programming).
- Delivering results to customers in appropriate formats.
- Assisting with follow-up questions and interpretation of results.
- Assist with the identification of appropriate data sources for the research objectives, acquiring and storing the data for the project.
- Actively engage with customers on study concept development, protocol and statistical analysis plan (SAP) writing, and dissemination (e.g., abstracts, manuscripts).
- Communicate the results of analyses conducted effectively orally and in writing
- Manage complex work environment, balancing demands from multiple customers to execute projects.
- Make sound scientific decisions based on a balance of data, analysis, and experience
- Work seamlessly in flexible manner across diverse therapeutic areas and assets, study designs and data sources.
Qualifications & Experience
- Advanced degree in a quantitative discipline such as biostatistics, epidemiology or a related field.
- Pharmaceutical and/or Epidemiology/ Outcomes Research experience.
Required Knowledge and Competencies
- Deep understanding of secondary and/or primary patient data sources and demonstrated ability in using such data sources for real-world research and analysis purposes.
- Demonstrated abilities to analyze observational data for pharmaco-epidemiology, outcomes research, and market research.
- Ability to effectively manage research projects.
- Ability to effectively communicate a study’s objectives, methods, and findings.
- Proficient in R programming to execute these studies; ability to program more advanced analytics and use of Github, is a plus.
- Ability to write (or critically review) the scientific content and analytical sections of protocols, statistical analysis plans, final reports and dissemination.
- Demonstrated interest in and working knowledge of AI tools (e.g., Claude, ChatGPT, Copilot) to support research activities.
- Ability to apply statistical methods to real-world studies (e.g., survival analysis, logistic/multivariate regression); knowledge on machine learning methods (e.g., clustering, prediction, NLP) is a plus.
#LI-Hybrid
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.
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 [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Bristol Myers Squibb is Disability Confident – Employer
A UK Government scheme
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If this posting is missing required information required by local law or incorrect, contact BMS at [email protected] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
R1606837 : Senior Manager, Real-World Data Research
About the company
Bristol Myers Squibb
Large Enterprise
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. With a focus on oncology, immunology, and cardiovascular health, the company leverages advanced science and technology to create transformative therapies that address critical unmet medical needs. Operating in more than 70 countries, Bristol Myers Squibb emphasizes collaborative efforts and strong partnerships in research and development to drive advancements in healthcare and improve patient outcomes worldwide.