Senior Scientist, Biostatistics, Early Development Statistics

Job Description

Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Our company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our company's is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Our company's Research Laboratories is a true scientific research facility of tomorrow and will take our company's leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach serious diseases. 

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Responsibilities:

• Provide data analytics solutions for real-world tasks, with a focus on complex data types such as images, signals, and text.

• Utilize modern statistical and AI/ML methods, including deep learning and generative AI.

• Apply sound scientific principles and data analytic methods to Pharmaceutical Research and Development (R&D) projects.

• Understand customer requests and effectively communicate analysis results to customers.

Primary activities:

• Serve as data analytic representative in cross-functional teams for pharmaceutical R&D.  

• Collaborate with people from diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.

• Identify opportunities to add value to different phase of pharmaceutical R&D projects.

• Identify potential data and data-analysis related problems, propose solutions, and implement them. 

• Analyzes data and interpret results.  

• Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports. 

• Provide responses to data and analysis related queries from research scientists, clinical scientists, and regulatory agencies.  

• Engage in AI/ML and statistical methodology research.

Education Minimum Requirement:

• Ph.D. or equivalent degree in Statistics/Biostatistics/Data Science/Computer Science or related disciplines. OR

• Master's degree with a minimum of 4 years of relevant work experience.

Required Experience and Skills:

• Solid knowledge of AI/Machine Learning and statistical principles and methodologies.

• Demonstrated strong programming skills, particularly in Python and R languages.

• Strong oral and written communication skills.

• Ability to work well both independently and collaboratively.

• Demonstrated interest in methodology research and the application of novel methods to real-world problems.

• Ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.

• Ability to collaborate with scientists and work effectively on multidisciplinary teams.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stak