ITEM Lead Analyst/Quantitative Epidemiologist, Director

ROLE SUMMARY

Pfizer's Worldwide Medical and Safety (WMS) is looking for a Quantitative Epidemiologist/Lead Analyst to provide expertise in the development and execution of projects focused on population health, health equity, social determinants of health, and disease outcomes. The incumbent will work closely with WMS leadership, scientists, and external experts to deliver high quality data analysis in a variety of therapeutic areas and diverse populations within the Institute of Translational and Equitable Medicine (ITEM). The incumbent will provide hands on quantitative support to the development of project proposals, study protocols, study reports, other internal documents and external publications.

The ideal candidate will be a highly accomplished programmer/analyst with a broad range of experiences in working with real-world and experimental data sets (including national survey data) and multi-cohort analysis. Knowledge of emerging and novel data sources is a plus. Knowledge of genomic data is a plus. This person will have the expertise to execute (hands on) quantitative epidemiologic research and statistical analyses; and have a track record of excellence in the use of quantitative and innovative epidemiologic/statistical methods.

ROLE RESPONSIBILITIES

• Collaborate and partner closely with cross-functional leaders, scientists, and epidemiologists across WRDM to design and analyze large and complex data sets as part of ITEM projects.
• Provide expertise for decision making around the appropriate use of Pfizer data mart and external Real- World Data (RWD).
• Advise on data sources to be purchased or licensed to meet research objectives.
• Develop analysis strategy and responsible for hands on execution of analysis of observational data to support ITEM studies, exploratory analyses, method development, and publications
• Develop, adapt, and apply novel efficient computational solutions for high performance programming across large data sets.
• Ensure rigorous quantitative approaches are taken and good scientific practices are followed: excellent statistical methods utilized and documented in protocols, analysis plans and manuscripts
• Ensure accurate and appropriate execution of quality control processes across all deliverables, and appropriate documentation including documentation of the analytic programs and the process of producing tables, reports and analysis summaries
• Responsible for delivering reliable analytics in a timely and high- quality manner
• Serve as a quantitative expert within scientific teams working under the umbrella of the Institute of Translational and Equitable Medicine (ITEM).
• Understand target biology and improve existing biomarkers, endpoints, derive new endpoints, and develop fit-for-purpose statistical models to support genomic, and precision medicine programs within Pfizer from genetic epidemiology perspective as needed.
• Assist in the preparation of proposals, manuscripts and regulatory submissions.
• Work independently on multiple projects prioritizing according to ITEM leadership and RU partners.

Basic Qualifications

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

• Masters, or advanced degree (PhD,) in Epidemiology, Biostatistics, statistics, computer science, data science or related field with demonstrable extensive focus on computer programming; preferred with 8 years (Master) or 5 years (PhD) with demonstrable excellent SAS programming skills in the pharmaceutical or other industry, academia, and/or regulatory agencies
• Extensive experience using claims / health care data and/or public and private epidemiologic resources
• Strong computational skills, programming in R, SAS/SQL programming including statistical analysis procedures and expertise in SAS/Base, SAS/Stat, SAS/IML and SAS Macros, strong understanding of SAS/Graph and related software/hardware solutions for Big Data approaches. Longitudinal data analysis, deep understanding of multivariable modeling. Ability to build scalable learning algorithms, develop deep learning algorithms, knowledge of Machine Learning, Python, C/C++, Linux, Java, Matlab
• Technical competence in managing large data sets and statistical techniques.
• Strong interest in health equity research and social epidemiology studies.
• Capability to execute (hands on) multiple studies/analyses using multiple healthcare databases under tight timeline; and provide quantitative and statistical expertise to cross-functional teams.
• Strong written and verbal communication skills.
• The ability to work as part of a team and work collaboratively with medical/safety colleagues and research scientists.
• Strong strategic and decision- making skills as well as technical skills, with the ability to collect, organize and analyze significant amounts of data with attention to detail and accuracy to translate effectively into information and knowledge
• Ability to articulate and explain data in writing or verbally to leaders and other stakeholders in a clear and concise manner
• Strong problem solving and conceptual thinking abilities and intellectual curiosity to proactively uncover insights and trends within data.
• Extensive demonstrable experience in conducting highly detailed tasks with evidence of consistent capability to successfully manage multiple projects simultaneously
• Strong focus on quality control and timely deliverables.

PREFERRED QUALIFICATIONS

• Experience with rapid real cycle analytic tools such as Instant Health Data (IHD), Aetion Evidence Generation Platform and more.
• Knowledge of the real-world data landscape in the United States and Internationally.
• Expert in the use of state-of-the-art visualization techniques and tools to accurately and effectively communicate data driven findings and other Epidemiological outputs
• Experience conducting social epidemiology studies, ideally focused on health equity and social determinants of health.
• Experience supporting a range of therapeutic areas or deep expertise in one or more of the following: Rare disease, I&I, Oncology, Internal Medicine, and Vaccines.
• Graduate-level training in the Biological sciences.
• Experience with analyzing genomic data sets and linking them with phenotype data.
• Demonstration of highly developed written and verbal communication skills.
• Experienced in establishing and implementing appropriate quality control when designing programming solutions in a pharmaceutical company
• 7+ years relevant experience in industry and creating models utilizing statistics and/or machine learning, designing and implementing own algorithms and data structures
• Experience with medical terminology epidemiological research

Other Job Details:

Last Date to Apply for Job: January 21st, 2022

Additional Location Information: New York, NY; Collegeville, PA; US - Remote

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