1+ months

Director, Epidemiologic Data Science

Pfizer
New York, NY 10007
**ROLE SUMMARY**



We are looking for collaborative and innovative team members who will help us significantly transform our ability to understand diseases across all stages of drug development and help accelerate our ability to bring breakthroughs that impact patients' lives. The Director, Epidemiologic Data Science will re-imagine and develop a transformative, data-enabled approach to provide stronger contextualization around diseases and move our teams beyond the limited disease definitions and understanding we have today. By developing a comprehensive scientific and clinical foundation for every disease, our goal is to ultimately inform the generation of regulatory-grade real world evidence to support further disease studies and accelerate bringing new medicines to patients. The Epidemiologic Data Scientist will need to be a creative and resourceful problem solver with expertise in epidemiology, data science, real world data, and regulatory pathways. They will also need a managerial and product development skill set , helping create a centralized resource to provide contextualization of our diseases across Pfizer.



**ROLE RESPONSIBILITIES**



+ Develop new capabilities and products to bring better understanding of disease to drug research and development pathways

+ Understand regulatory grade real world data landscape to provide tailored data for studies. Lead and support meetings and engagements with industry, academic organizations, and registries to support evaluation of RWD collaborations

+ Enable the organization to identify opportunities and create pathways for developing regulatory grade real world data

+ Propose and create components of Epidemiology deliverables for development and product teams, including:

+ Epidemiology and regulatory-grade RWD Research Strategy

+ Epidemiology section of the Risk Management Plan (RMP) and Pediatric Investigational Plan (PIP)

+ Epidemiology sections for other regulatory documents (e.g. ad-hoc regulatory requests)

+ Background epidemiology studies, natural history of disease studies and user characterization studies

+ Post-approval effectiveness studies and their feasibility assessments

+ Other epidemiology studies (e.g. special sub-populations , new indications)

+ Provide critical assessment of epidemiological data and relevant literature and succinctly summarize for stakeholders

+ Manage epidemiological work with external vendor for complex literature review and regulatory submissions deliverables



**BASIC QUALIFICATIONS**



+ PhD/MPH/MS in Epidemiology, Data Science, Computer Science, Informatics or related discipline or relevant work experience.

+ 3+ years in developing epidemiological studies and researching natural history of disease in the pharmaceutical industry, academia, and/or regulatory agencies

+ 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.

+ Experience working with real world data (RWD), including: Electronic Medical Record (EMR), claims, genomic, and surveys.

+ Understanding of public and private epidemiologic or real world data resources and databases

+ Excellent written and verbal communication skills and the ability to work cross-functionally and collaborate with internal stakeholders and shared services customers

+ Self-starter with the ability to thrive in a fast-paced, ambiguous environment. M ust be highly motivated and desire to constantly learn new skills, systems and processes as continuous innovation and problem solving is expected.



**PREFERRED QUALIFICATIONS**



+ Experience with rapid real world data analytical platforms

+ Experience supporting a range of therapeutic areas or deep expertise in one or more of the following: Rare Diseases, I&I, Oncology, Internal Medicine, and Vaccines

+ Experience building innovative solutions in a large corporation or startup environment



**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.



Other Job Details:



+ Eligible for Relocation Package

+ Eligible for Employee Referral Bonus



\#LI-PFE



Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.



Medical

Categories

Posted: 2019-11-21 Expires: 2020-02-20

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Director, Epidemiologic Data Science

Pfizer
New York, NY 10007

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