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Job Information

Pfizer Sr. Manager, Vaccines RWE Scientist in Cambridge, Massachusetts

ROLE SUMMARY

The Global Scientific Affairs COVID & Flu team is on the cutting edge of evidence generation for COVID-19 & flu vaccines, therapeutics and diagnostics. Within the Global Scientific Affairs COVID & Flu team, a dedicated team of RWE Scientists reporting to the COVID & Flu Databases Team Lead develop and execute evidence generation using in-house databases to support COVID and flu vaccines, antivirals, and diagnostic assets. The Global Scientific Affairs COVID & Flu Senior Manager will deliver timely feasibility assessments, rapid real-world insights (RWI), and easy-to-understand summary reports by understanding stakeholder objectives and timelines. They will contribute to and in some cases lead the development of RWE protocols in collaboration with the cross-functional asset teams and Biostatistics to demonstrate and enhance value generation for all assets. The Senior Manager will contribute to high-impact data generation that may be used to support vaccine technical committees recommendations and authorizations, regulatory interactions/label expansions, trial design and optimization, and other real world clinical studies to further understand burden of disease and effectiveness of vaccines and therapeutics.

The Senior Manager will serve as a subject matter expert on data sources and provide guidance on the most appropriate types of data, datasets, innovative methodologies, and algorithms 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 Global Scientific Affairs COVID & Flu Senior Manager will play a key role in delivering in-house RWE projects and support the development of Vaccines and Antivirals strategy to keep up with the evolving RWE landscape.

ROLE RESPONSIBILITIES

  • Leads RWI for feasibility assessments, go/no-go decisions, co-design and create dashboards to inform cross-functional teams' hypothesis generation, generate timely and detailed insights

  • Collaborate with team members to build strong internal and external partnerships and act as a subject matter expert by providing expert consultations on all aspects of RWD studies and analyses, including feasibility assessment, objectives, study design, data source identification, protocol development, statistical analyses, and table shells

  • Support the development of RWD and analytics capabilities and utilization, and lead in applying cutting-edge advanced analytics methodologies, analysis tools, and visualization platforms to generate novel insights and actions

  • Conduct and oversee the execution of rapid RWD-based queries and studies and effectively communicate the findings and study results to internal stakeholders using tables, visualizations, short reports, and slide decks

  • Contribute to and/or lead external publications including conference abstracts, poster, and manuscripts

  • Define standards and processes to manage quality, consistency, usability, security, and availability of data throughout the data lifecycle; stay up to date on RWD/E best practices

  • Coordinates and drives internal cross-functional teams, Biostatistics, and other colleagues to create high-quality RWE from rigorously designed protocols

  • Partner with a variety of stakeholders including pipeline/asset teams (e.g., Early Clinical Development pipeline teams, Global Product Development franchise/asset teams, BU Medical affairs, HEOR, Commercial and other functions), RWE Operations Leads, Biostatistics, Digital RWD, and other colleagues as needed to collaboratively develop high-quality methods, innovative approaches, protocols, and designs

  • Contribute to asset medical strategy and evidence generation planning

  • Proactively identify opportunities to automate and create efficiencies, harmonize rules with other analysis teams, and load all deliverables into the Digital RWD knowledge and insights management system.

  • Assess vendor due diligence for potential partnerships or new sources of data/technology as directed

  • Document all requests and track progress toward project completion, create and measure quarterly ROI metrics, and ensure support to business goals

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.

  • The ideal candidate will have a Master's degree with 5+ years/PhD with 2+ years in RWE analytics or NIS consulting, Nursing or Biomedical Informatics, Public Health, HEOR, Epidemiology, Other Biological / Computational Science fields with a substantial quantitative and computational component, other related fields, or commensurate professional experience highly desired

  • Proven successful track record of scientific analysis of real-world data for scientific, business, quality, or other purposes

  • Knowledge of Electronic Health Records, medical and pharmacy claims, patient registries, patient participating research networks, and other real-world data sources

  • Advanced understanding of pharmacoepidemiologic methods and study design

  • Ability to critically evaluate analytic results against the literature, subject matter expert feedback, or other reliable sources to ensure biological and medical credibility in alignment with cross-functional team strategy/priorities

  • Strong experience in communicating in verbal and written form with all levels of personnel with diverse backgrounds, and able to create and deliver clear presentations to teams

  • Quality focused and well organized

  • Experience working under pressure with a high level of autonomy and internal motivation and adapting rapidly within evolving digital environment

  • Ability to handle multiple projects and other tasks, and to prioritize, knowing when to escalate issues before they become major problems

  • Experience with protocol development and execution for non-interventional studies using a variety of analytical techniques applied to various databases

  • Experience creating codelists from all types of coding nomenclatures (e.g. ICD-10-CM, NDC, CVX etc).

  • Significant hands-on experience analyzing multiple types of real-world data, including EHR, open and closed claims, registry data, patient-reported data, laboratory tests and results, and microbiology testing data

  • Hands-on experience of query and analytic languages and technologies (e.g., SQL, R, SAS, IHD, Aetion) and of relevant biological and medical data standards (e.g., HGNC / Entrez, ICD, CPT)a

  • Ability to rapidly learn new domains to understand the latest scientific or medical findings and incorporate them into projects as appropriate; to interpret data dictionaries and other technical documentation

PREFERRED QUALIFICATIONS

  • 3+ years of experience working in real-world data analytics in healthcare, clinical research, life science, or other related organizations

  • Knowledge of vaccines development, infectious disease, host/pathogen interactions, immunology, clinicogenomics, and other Vaccines-relevant experience is highly desired.

  • Understanding global regulatory guidance for appropriate use and submission of RWE is highly desired

  • Experience in clinical registry, patient-generated health data, unstructured clinical data, and other health data sources is highly desired

  • Knowledge of global HTAs' / payers' RWE acceptance and experience in value-based agreements, value-based care, and similar constructs preferred

  • Ability to manage teams and lead through influence in a highly matrixed environment, with demonstrated excellence in teamwork and collaboration highly desired

  • Skills involving management and analysis of large databases including data ingestion, data visualization, and exploratory data analysis preferred

  • Knowledge of efficient programming practices and the software development life cycle preferred

In addition, Seeking candidates with the following skillsets:

  • Artificial Intelligence (AI) / Machine Learning (ML): ability and experience in creating advanced models to generate real-world insights for projects

  • Data Visualization: passion for and experience in generating easy-to-use, interactive data visualization capabilities in health and life sciences that, with RWE, can be used to generate hypotheses, support rapid and informed go/no-go decisions, and illustrate patient journeys

  • Project Management: experience in overseeing a program of multiple projects in a cross-matrix environment, including tracking milestones and metrics, with a history of leading or acting as a major player in real-world data-related projects to coordinate colleagues and drive teams to achieve goals

  • Training / Education: experience in leading training and educational sessions on RWE

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

Ability to travel periodically 10%

Other Job Details:

Last Date to Apply for Job: June 24th, 2024

Additional Location Information: New York, NY; Collegeville,

Eligible for Relocation Package: No

#LI-PFE

The annual base salary for this position ranges from $131,200.00 to $218,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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.

Market Access

#LI-PFE

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