At a Glance
- Tasks: Lead innovative statistical projects and mentor junior team members in a collaborative environment.
- Company: Join Bristol Myers Squibb, a leader in pharmaceutical innovation.
- Benefits: Enjoy competitive benefits and resources to support your personal and professional goals.
- Other info: Be part of a diverse culture that values inclusiveness and respect.
- Why this job: Make a real impact in drug development through cutting-edge statistical methodologies.
- Qualifications: Ph.D. in Statistics or related field with extensive experience in pharmaceutical R&D.
The predicted salary is between 80000 - 120000 £ per year.
Director of Statistical Methodology role will drive projects developing methodological solutions to statistical innovation problems identified by Data and Quantitative Science (DQS) and the broader Drug Development organization.
Key Responsibilities
- Active engagement with stakeholders and driving development of statistical methods and research.
- Providing statistical consulting to specific projects.
- Overseeing development of tools and software to implement methodological solutions.
- Mentoring and coaching junior members of the team.
- Drives formulation, development and implementation of innovative novel statistical analysis methods and innovative study designs across therapeutic areas.
- Facilitates discussions, translates scientific questions into statistical terms and statistical concepts into layman terms.
- Influences stakeholders by communicating effectively the findings of their project-driven research to cross‑functional teams; provides interpretation of their scientific results in a manner accessible to non-statisticians.
- Functions as statistical lead on statistical topics influencing and advising senior leadership on issues that have business impact.
- Continually develops technical knowledge of statistical methodology and builds BMS external scientific reputation via publications and presentations.
- Continually enhances knowledge of drug development process, regulatory and commercial requirement.
- Develops more junior stat methodologists by providing mentorship and coaching as well as developing training curriculum for the broader DQS organization.
- Effectively communicates the DQS Mission and Vision in a fashion that generates pride, excitement and commitment within DQS.
- Enables a culture of inclusiveness, respect for diversity, compliance with process and allows for the questioning and challenging of others in a respectful and constructive manner.
Qualifications & Experience
- Ph.D. in Statistics, Biostatistics, or Data Science with 9+ years of experience in Pharmaceutical R&D or academia/government.
- Solid understanding of drug development with proven track record of leading statistical innovation.
- Deep expertise in one of the following scientific topics (with proven publication records) and working knowledge of the others: Bayesian Methods, Adaptive Design, RWE, Advanced Predictive Modelling, Machine Learning, Decision Analysis.
- Ability to summarize technically/analytically complex information for a non‑technical audience.
- Demonstrated ability to work in a team environment with good interpersonal, communication, writing and organizational skills.
- Ability to organize multiple work assignments and establish priorities.
Benefits
Bristol Myers Squibb offers a wide variety of competitive benefits, services and programs that provide employees with resources to pursue their goals, both at work and in personal lives.
Legal & Equality Statements
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. 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.
Director, Statistical Methodology and Innovation in Denham employer: Bristol Myers Squibb
Bristol Myers Squibb is an exceptional employer that fosters a culture of innovation and inclusivity, making it an ideal place for professionals in the field of statistical methodology. With a commitment to employee growth through mentorship and training, as well as a comprehensive benefits package, BMS empowers its team members to excel in their careers while contributing to meaningful advancements in drug development. Located in a dynamic environment, employees are encouraged to engage with cross-functional teams, ensuring that their work has a significant impact on both the company and the broader scientific community.
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We think this is how you could land Director, Statistical Methodology and Innovation in Denham
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We think you need these skills to ace Director, Statistical Methodology and Innovation in Denham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Bristol Myers Squibb, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
