Manager, Statistics/Data Science

Key Skills

Data science techniques, Deep Learning, Design, Effective communication skills, Leadership Skill, Machine learning techniques, MATLAB Programming, Python Programming, R Programming

Job Description

The successful candidate will:

• Provide primary statistics support to the science and technology lines within Pharmaceutics Pharmaceutical Sciences: spanning both early- and late-phase drug substance development, analytical method development, and as well as regulatory activities.
• Collaborate with scientists to plan meaningful studies, design experiments, statistically analyze, and communicate / document the results.
• Demonstrate leadership in influencing and improving workflows by identifying, developing, and applying new quantitative methods as needed to solve problems in pharmaceutical research.
• Participate in the group’s education initiative by teaching courses such as experimental design and statistics inference.
• Pursue business-related research interests and represent Pfizer externally.
• The individual will be part of a group that is highly focused on the use and implementation of statistical and ML skills to better understand our products and processes throughout the development lifecycle. This will be balanced with a drive to improve and develop our data-driven and hybrid modeling predictive capabilities.

Requirements: 

• PhD in Statistics, Computational Chemistry, Informatics, Physics or comparable fields or MS in Statistics or Data Science, with five+ year’s statistical consulting experience, preferably in a laboratory science environment.
• Experience with large dataset analytics, familiar with ML and deep learning.
• Demonstrated expertise through a strong record of publications and presentations; strong oral and written communication skills and an ability to convey complex concepts simply.
• Demonstrated ability to collaborate with and mentor peers as well as effectively interact with leaders as part of a multi-disciplinary team.
• Attention to detail, strong organizational skills, the ability to multitask, and effective interpersonal are required.
• Proficient in programming skills such as R, Python, Matlab, or equivalent, and knowledge of a variety of commercial packages.

Desired:

• Prior experience working in pharmaceutical research and development.
• Solid knowledge of Bayesian statistics and application.
• Proven track record of integrating statistical techniques and solutions into pharmaceutical / engineering applications to achieve business results.
• Statistical experience in a regulated scientific environment and knowledge of ICH guidance and pharmacopoeia monographs.
• The aptitude to identify and understand relevant scientific literature and apply knowledge gained from these sources.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.