WHY PATIENTS NEED YOU

Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.

ROLE SUMMARY

This position supports the data collection, analysis, and interpretation across wide variety of activities related to drug development within the collaboration group.

ROLE RESPONSIBILITIES

• Participate in the study design, analysis, reporting, and interpretation of applicable studies

• Participate in collaborations with cross-discipline colleagues to plan meaningful studies, statistically analyze, and communicate/document the results

• Participate in the education initiatives by developing and teaching courses such as basic statistics, regression analysis, statistical experimental design, data engineering, machine learning, and/or AI topics to non-statistics collaborators.

• Share in the development automated statistical/data solutions to increase the efficiency study conduct and reporting.

• Participate in research on statistical, AI/ML and/or informatics methodology and its applications as they relate to business needs.

• Partner with other data science / computational groups to identify optimal solutions to scientific problems. 

• Help promote an effective network with other Pfizer statisticians and data scientists.

• Help promote statistical excellence, champion statistical influence, and ensure statistical support for all projects and products.

• Contribute to continuous improvement efforts across Pfizer.

BASIC QUALIFICATIONS

•  M.S.  in Statistics, Data Science, Biostatistics, or equivalent degree, with some practical experience (e.g. internship), preferably in a relevant setting

• Statistical knowledge through coursework and/or demonstrated statistical application in descriptive and inferential statistics, general linear modes, mixed models, statistical experimental design, quality control

• Data science / AI knowledge through coursework and/or demonstrated application in Feature Extraction/Engineering, Exploratory data analysis, Machine Learning (Supervised and Unsupervised methods), ML optimization frameworks, ML evaluation methods

• Superior computational skills: SAS, R, Python, or equivalent, with a knowledge of a variety of commercial packages

PREFERRED QUALIFICATIONS

• Outstanding communication skills

• Statistical/Quantitative consulting experience.

• Strong scientific background, with good working knowledge of biology, chemistry, pharmacology, or toxicology.

• Experience in machine learning/AI, including Image Analysis, Big Data Analysis, Natural Language Processing and/or Decision Support Recommender Systems

• Experience analyzing high-dimensional data

• The flexibility to balance many projects and customers simultaneously.

• The ability to be independent and learn new skills quickly.

• The aptitude to identify and understand relevant scientific literature and apply knowledge gained from these sources.

  
Relocation support available

Work Location Assignment: Hybrid

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.

EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.  Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Pfizer is an E-Verify employer.  This position requires permanent work authorization in the United States.