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Senior Manager, Real-World Evidence for Vaccines

2 months ago


Cambridge, Massachusetts, United States Pfizer Full time

POSITION OVERVIEW

The Global Scientific Affairs team focusing on COVID-19 and influenza is at the forefront of generating evidence for vaccines, therapeutics, and diagnostics. Within this team, a specialized group of Real-World Evidence (RWE) Scientists, reporting to the COVID & Flu Databases Team Lead, are responsible for developing and executing evidence generation strategies utilizing internal databases to support assets related to COVID and flu vaccines, antiviral treatments, and diagnostic tools. The Senior Manager in this role will be instrumental in delivering timely feasibility evaluations, rapid real-world insights (RWI), and concise summary reports by aligning with stakeholder objectives and timelines. They will also contribute to and, in some instances, lead the formulation of RWE protocols in collaboration with cross-functional asset teams and Biostatistics to demonstrate and enhance the value of all assets.

The Senior Manager will act as a subject matter expert on data sources, offering guidance on the most suitable types of data, datasets, innovative methodologies, and algorithms tailored to specific challenges. They will coordinate RWE project execution with relevant internal and partner analytic resources and tools, ensuring the establishment of consistent business rules, versioning protocols as care pathways evolve, and adherence to standards and procedures.

The Senior Manager will play a pivotal role in delivering in-house RWE projects and will support the strategic development of vaccines and antiviral initiatives to adapt to the evolving landscape of real-world evidence.

KEY RESPONSIBILITIES

  • Lead RWI initiatives for feasibility assessments, decision-making processes, and co-design dashboards to inform cross-functional teams' hypothesis generation, providing timely and detailed insights.
  • Collaborate with team members to foster strong internal and external partnerships, serving as a subject matter expert by offering consultations on all aspects of RWD studies and analyses, including feasibility assessments, objectives, study design, data source identification, protocol development, statistical analyses, and report generation.
  • Enhance RWD and analytics capabilities, applying advanced analytics methodologies, analysis tools, and visualization platforms to generate innovative insights and actionable strategies.
  • Oversee the execution of rapid RWD-based queries and studies, effectively communicating findings and results to internal stakeholders through tables, visualizations, concise reports, and presentations.
  • Contribute to and/or lead external publications, including conference abstracts, posters, and manuscripts.
  • Establish standards and processes to ensure quality, consistency, usability, security, and availability of data throughout its lifecycle; remain informed on best practices in RWD/E.
  • Coordinate and drive collaboration among internal cross-functional teams, Biostatistics, and other colleagues to create high-quality RWE from rigorously designed protocols.
  • Partner with various stakeholders, including pipeline/asset teams, RWE Operations Leads, and Biostatistics, to collaboratively develop high-quality methods, innovative approaches, protocols, and designs.
  • Contribute to asset medical strategy and evidence generation planning.
  • Identify opportunities for automation and efficiency improvements, harmonizing rules with other analysis teams, and ensuring all deliverables are integrated into the Digital RWD knowledge and insights management system.
  • Assess vendor due diligence for potential partnerships or new data/technology sources as directed.
  • Document all requests and track progress toward project completion, creating and measuring quarterly ROI metrics to ensure alignment with business goals.

REQUIRED QUALIFICATIONS

Candidates should demonstrate a breadth of diverse leadership experiences and capabilities, including the ability to influence and collaborate with peers, develop and mentor others, and guide the work of colleagues to achieve meaningful outcomes and create business impact.

  • A Master's degree with 5+ years or a PhD with 2+ years in RWE analytics, Nursing, Biomedical Informatics, Public Health, HEOR, Epidemiology, or related fields with a substantial quantitative and computational component is highly desired.
  • Proven track record of scientific analysis of real-world data for various purposes.
  • Familiarity with Electronic Health Records, medical and pharmacy claims, patient registries, and other real-world data sources.
  • Advanced understanding of pharmacoepidemiologic methods and study design.
  • Strong communication skills, both verbal and written, with the ability to present complex information clearly to diverse audiences.
  • Detail-oriented and organized, with the ability to work under pressure and adapt quickly in a dynamic environment.
  • Experience in protocol development and execution for non-interventional studies using various analytical techniques.
  • Significant hands-on experience analyzing multiple types of real-world data, including EHR, claims, registry data, and laboratory results.
  • Proficiency in query and analytic languages and technologies (e.g., SQL, R, SAS) and relevant biological and medical data standards.
  • Ability to rapidly learn new domains and incorporate the latest scientific or medical findings into projects.

PREFERRED QUALIFICATIONS

  • 3+ years of experience in real-world data analytics within healthcare, clinical research, or life sciences.
  • Knowledge of vaccine development, infectious diseases, and immunology is highly desirable.
  • Understanding of global regulatory guidance for RWE submission is preferred.
  • Experience with clinical registries and patient-generated health data is advantageous.
  • Ability to manage teams and lead through influence in a matrixed environment.
  • Skills in managing and analyzing large databases, including data visualization and exploratory data analysis.
  • Knowledge of efficient programming practices and the software development life cycle is preferred.

ADDITIONAL REQUIREMENTS

Ability to travel periodically is expected.

OTHER DETAILS:

This position offers a competitive salary and benefits package, including health coverage, retirement plans, and paid time off.

EEO & EMPLOYMENT ELIGIBILITY

Pfizer is committed to equal opportunity in employment for all employees and applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or expression, national origin, disability, or veteran status. Pfizer complies with all applicable laws governing nondiscrimination in employment.