Pfizer Director, Vaccines RWE Scientist in Remote, United States
The Real World Evidence (RWE) Center of Excellence (CoE) is a rapidly expanding group that provides integrated, end-to-end RWE optimization, education, communication, and maximization of data partnerships' value within therapeutic areas (TAs) to meet both core and innovative Development, Regulatory and Commercial needs to support breakthroughs to change patients' lives.
The Vaccines TA is responsible for creating one of the greatest health advancements of all time, resulting in control, near-elimination or elimination of infectious diseases that were once pervasive. Cross-functional pipeline and asset teams create and deliver vaccines for high impact infections such as pneumococcal disease, meningitis, hospital acquired infections, maternal and infant infections, COVID-19 and exploratory anti-cancer vaccines.
Within the Global RWE CoE, a dedicated team of RWE Scientists reporting to the Vaccines RWE Lead will support the Vaccines TA, including inline programs, pipeline programs, the mRNA platform, and other special projects. The Director, Vaccines RWE Scientist will lead RWE delivery of rapid feasibility assessments, real world insights (RWI) and easy-to-understand summary reports by understanding pipeline / asset teams' objectives and timelines. They will co-develop RWE protocols in collaboration with the cross-functional asset teams and RWE Biostatistics. The Director, Vaccines RWE Scientist will provide guidance on the most appropriate types of data, datasets, and methodology for a given problem, and coordinate RWE project execution with appropriate internal and partner analytic resources and tools. They will ensure the development of consistent business rules, versioning rules as care pathways evolve, standards and procedures.
The Director, Vaccines RWE Scientist will work closely with the Vaccines RWE Lead and cross-functional teams on assets' RWE strategy development. They will direct the RWE cross-functional teams' work with pipeline / asset teams to integrate RWE into their strategic plans and will use these plans to identify key RWE teams' external data partnership opportunities. They will oversee data procurement activities (e.g., landscape assessments and due diligence or supporting contract development for external studies). They will act as a subject matter expert in RWE studies and lead projects independently. They will also have the opportunity to mentor / advise other RWE Scientists.
Act as the RWE subject matter expert forthe Vaccines franchise.
Communicate and advocate effectively throughout the organization to support the appropriate use of RWE.
Educate colleagues throughout the organization on RWE enabled use cases and best practices.
Work collaboratively to ensure high quality methods and designs throughout the product lifecycle (early clinical development through loss of exclusivity)
Conduct feasibility assessments to determine appropriate internal / external real-world data sources
Create real world insights informing go/no-go decisions, hypothesis generation, and decision-making for executives, teams, and business development
Coordinate cross-functional teams to create high quality RWE from rigorously designed protocols
Create TA-specific RWE assessment plans and recommend RWE analytical approaches
Proactively identify opportunities for automation, collaboration, and innovation
Drive landscape assessments and evaluations of new data / tools.
Track market trends and regulatory standards.
Document all requests and track progress toward project completion, other metrics, and business goals.
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.
7+ (with a master's degree) to 9+ (Bachelor's degree) years' experience with a proven successful track record of scientific analysis for Non-Interventional Studies, other research studies or clinical quality improvement studies, with specific experience with a range of real world data such as EHR, medical or pharmacy claims, patient registries, or other data sources
Five or more years working in real world data analytics in healthcare, clinical or translational research, pharmaceutical Research & Development, or similar.
Ability to critically evaluate analytic results against the literature, subject matter expert feedback or other reliable sources to ensure end user credibility in alignment with cross-functional team strategy / priorities
Five or more years of demonstrable experience communicating in verbal and written form with all levels of personnel with diverse backgrounds
Ability to work under pressure with a high level of autonomy and motivation
Experience in Vaccines domains, mRNA or the interest and ability to rapidly learn these domains to understand and proactively apply the latest scientific findings for projects
Experience with protocol development and execution for non-interventional studies using a variety of analytical techniques applied to various databases
Mentorship and leadership skills, particularly in highly matrixed organizations.
Five or more years hands-on experience using query and analytic languages and technologies (eg, SQL, R, SAS, IHD, Aetion) and of relevant biological and medical data standards (eg, HGNC / Entrez, ICD, CPT)
The ideal candidate will have a Master's degree with 9+ years/PhD with 7+ years in RWE analytics, Statistics, Economics, Bioinformatics, Epidemiology, Other Biological Science fields with a substantial quantitative and computational component, other related fields or commensurate professional experience
Knowledge of vaccines development, infectious disease, host/pathogen interactions, immunology, clinicogenomcs, GWAS / PheGWAS dataset interpretation, mRNA and other Vaccines-relevant experience highly desired
Ability to communicate effectively with cross-functional teams and work in a highly matrixed environment, with demonstrated excellence in teamwork and collaboration highly desired
Five or more years hands on experience in four or more of the following:
Experience in clinical registry, patient generated health data, unstructured clinical data and other health data sources.
Understanding global regulatory guidance for appropriate use and submission of RWE.
Knowledge of global HTAs' / payers' RWE acceptance, and experience in value-based agreements, value-based care and similar constructs.
Knowledge of efficient programming practices and the software development life cycle
Experience engaging or partnering with external organizations (e.g., IDN, ACOs, payers, academic institutes, professional organizations, etc.) for RWE.
Artificial Intelligence (AI) / Machine Learning (ML): ability and experience in creating advanced models to generate real world insights.
Data Visualization: passion for and experience in generating easy-to-use, interactive data visualization capabilities (e.g., Tableau, PowerBI, Qlik, Spotfire, Looker).
Clinicogenomics: understand the clinical application of genomic, transcriptomic and other biomarker tests and result reports as they pertain to clinical care or research.
Experience integrating real world evidence in early clinical development.
Experience using RWE to drive value-based care, generally, and value-based contracting, specifically.
Other Job Details:
Additional Location Information: New York, NY; Collegeville, PA; US - Remote
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
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