At a Glance
- Tasks: Curate and analyse healthcare data to support clinical trials and decision-making.
- Company: Join Bristol Myers Squibb, a leader in transforming patient lives through science.
- Benefits: Enjoy competitive salary, flexible work options, and extensive professional development opportunities.
- Other info: Collaborative culture with excellent career growth and a commitment to diversity and inclusion.
- Why this job: Make a real impact in healthcare while growing your career in a supportive environment.
- Qualifications: Master's or PhD in relevant fields with experience in real-world data and analytics.
The predicted salary is between 60000 - 80000 £ per year.
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
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.
The RWE Analyst is a key member of cross-functional teams and RWE-CoE within GBDS. This role will perform the curation, transformation, and analysis of complex healthcare datasets to inform evidence generation, support developing clinical program design, clinical trial execution, and other data-driven decision-making activities. In addition, the RWE Analyst will be supporting in-house real-world evidence (RWE) trials to generate insights that enhance clinical and regulatory strategies. The ideal candidate will have deep expertise in working with RWD (e.g., claims, EMR, registries), RWE trials experience, strong analytical and communication capabilities, and a collaborative mindset. This is an on-site role requiring 50% office time in Uxbridge.
Key Responsibilities
- Curate and assess the quality of real-world data (RWD) assets to ensure their suitability and understanding for intended use.
- Design and implement data pipelines to transform raw RWD into datasets ready for analysis.
- Collaborate with cross-functional teams - including Biostatistics, Data Science, HEOR, Epidemiology/Safety, Clinical, and IT - to define data requirements and analytical strategies.
- Conduct exploratory data analyses, identify patient cohorts, and perform data summary analytics to support real-world evidence (RWE) generation.
- Participate in the design of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results.
- Author or review study documents such as protocols, statistical analysis plans, study reports, publications, and study-level specifications.
- Develop and maintain documentation detailing data sources, transformations, and analytical methods.
- Ensure all work complies with data governance, privacy, and regulatory standards.
- Stay up to date with industry and regulatory trends, tools, and best practices in RWD/RWE analytics.
- Continually expand technical knowledge of statistical considerations in real-world evidence generation to ensure high-quality study design and analysis.
- Enhance understanding of the drug development process, as well as regulatory and commercial requirements.
Qualifications & Experience
- Master's or PhD in Epidemiology, Biostatistics, Data Science, Health Informatics, or a related field.
- 3+ years of experience working with real-world healthcare data (claims, EMR, registries, etc.).
- 2+ years of experience in pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials.
- Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus.
- Good understanding of industry RWD vendor database.
- Experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets.
- RWD trial design and analysis experience.
- Ability to communicate complex real-world data concepts to non-technical stakeholders.
- Ability to work successfully within cross-functional teams.
- Ability to organize multiple work assignments and establish priorities.
- Strong understanding of healthcare industry regulatory compliant data standards.
- Good understanding of regulatory requirements & clinical trial design is preferred.
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.
With a single vision as inspiring as "Transforming patients' lives through science(TM)", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture.
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.
Bristol Myers Squibb is Disability Confident - Employer.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
We will never request payments, financial information, or social security numbers during our application or recruitment process.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Senior Manager, Real-World Evidence (RWE) Biostatistician Uxbridge - GB R1602485 employer: Bristol Myers Squibb
Bristol Myers Squibb is an exceptional employer that offers a unique opportunity to engage in meaningful work that transforms patients' lives. Located in Uxbridge, the company fosters a collaborative and inclusive culture, providing employees with extensive growth opportunities and a comprehensive benefits package that supports both professional and personal goals. With a commitment to innovation and a supportive environment, BMS empowers its team members to thrive and make a significant impact in the healthcare industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Real-World Evidence (RWE) Biostatistician Uxbridge - GB R1602485
✨Tip Number 1
Network like a pro! Reach out to current employees at Bristol Myers Squibb on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into RWE and biostatistics trends. Show us you’re not just a candidate, but someone who’s genuinely passionate about transforming patient lives through science.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past work with real-world data and how it made an impact. We love hearing about your journey and what drives you.
✨Tip Number 4
Don’t hesitate to apply even if you don’t tick every box! We value diverse experiences and perspectives. Your unique background could be exactly what we need to enhance our team.
We think you need these skills to ace Senior Manager, Real-World Evidence (RWE) Biostatistician Uxbridge - GB R1602485
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Manager, RWE Biostatistician role. Highlight your experience with real-world data and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about real-world evidence and how you can contribute to our team. Keep it engaging and personal – we love seeing your personality come through.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in tools like SAS, R, or Python. If you have experience with AI/ML, make sure to include that too! We’re keen on candidates who can handle complex data analysis with ease.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Bristol Myers Squibb!
How to prepare for a job interview at Bristol Myers Squibb
✨Know Your Data Inside Out
As a Senior Manager in Real-World Evidence, you'll be dealing with complex healthcare datasets. Make sure you brush up on your knowledge of real-world data (RWD) sources like claims and EMR. Be prepared to discuss how you've curated and transformed these datasets in past roles.
✨Showcase Your Collaboration Skills
This role requires working closely with cross-functional teams. Think of examples where you've successfully collaborated with biostatistics, data science, or clinical teams. Highlight your ability to communicate complex concepts to non-technical stakeholders during the interview.
✨Prepare for Technical Questions
Expect questions about your proficiency in tools like SAS, R, or Python. Brush up on your technical skills and be ready to discuss specific projects where you've used these tools for data manipulation and analysis. If you have experience with AI/ML, don't forget to mention it!
✨Understand Regulatory Standards
Since compliance is crucial in this role, make sure you're familiar with healthcare industry regulatory standards and clinical trial design. Prepare to discuss how you've ensured compliance in your previous work, as this will demonstrate your understanding of the industry's requirements.