Senior Manager Data Scientist

Role Summary

Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) leverages data science and advanced analytics to change patient’s lives. The Data Science Solutions and Initiatives (DSSI) team under AIDA partners with business stakeholders to drive analytic capabilities, accelerating business insights to enable decision making. The Scientific and Clinical Data Science team under DSSI accomplishes this through a focus on the use of data from inside and outside the organization, analyzed by a team of data scientists, in response to business partners to perform analyses that advance our portfolio.

In the Scientific and Clinical Data Science team, the Senior manager data scientist is a very important role to advance predictive data analyses strategies, and innovative methods generating valuable insights using numerous internal and external data sources. The Senior Manager data scientist will provide leadership in maximizing the value of Pfizer’s investments in big data and analytics capabilities. She/he will work in a fast-paced multidisciplinary environment as the competitive landscape and data strategies keep changing rapidly.

Role Responsibilities

The Senior Manager Data Scientist will:

• Lead Business initiatives and support Pfizer Digital’s Bold Moves
• Develop Proof-of-Concept (POC) utilities for use in answering business questions with innovation, value generation and competitive edge as key differentiators; provide thought leadership and architectural know-how to scale up these utilities for mainstream use by broader scientific and business community.
• Provide leadership to and execute projects that help discover targets and biomarkers, enhance clinical trials, and reposition Pfizer’s drug products in collaboration with business partners that have diverse scientific, informatics and business management skills and experiences.
• Create prototypes, predictive models and demonstrations to help articulate the value of insights for advancing science and the business.
• Locate and analyze different types of relevant data from inside and outside of Pfizer to answer discovery, research, and development questions.
• Define and execute technology POCs using cutting edge, and state of the art technologies.
• Produce actionable data presentations and visualizations that are intuitive, effective and insightful for decision makers at senior levels throughout the organization.

Basic Qualifications

• Data analysis experience with heterogeneous data types and familiarity of big data, analytics and/or data mining environments in molecular sciences
• Demonstrated experience in accessing and analyzing research, clinical and/or safety data.
• Demonstrated capabilities in analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns.
• Statistical analysis: Ability to understand and improve possible limitations in models.
• 3+ years with a data visualization tool (e.gs., R, DASH, Spotfire, Tableau)
• A minimum of a bachelors’ degree with 7+ years of experience or a PhD 2+ years’ experience in biological sciences or related area
• Machine Learning and predictive modeling skills: Ability to build and manage models to predict future outcomes using data that is often incomplete and/or imperfect and contained in disparate sources.
• 5+ years of programming experience with one or more analytics tool (Python, SAS, R or SQL)
• Hypothesis testing: In collaboration with scientific and business partners, able to develop hypotheses and test them with careful experiments.
• The ideal candidate would be able to work independently with the ability to prioritize activities.
• Strong verbal and written communication skills

Preferred Qualifications

• Experience with big data, analytics and/or data mining environments
• Understanding of Pharmaceutical R&D data preferred
• Pharmaceutical industry experience preferred.
• 2+ years of data science experience with artificial Intelligence and natural language processing/text mining and/or exposure would be a plus.
• 2+ years data science experience using molecular data sets in biology and/or chemistry.
• Experience working in a cloud environment and using cloud-based services is desirable.
• Experience with Electronic Medical Record and Claims data and/or public datasets a plus
• An understanding of one or more pharmaceutical domains including discovery, research, clinical, regulatory or safety would be strong plus.
• Experience with Jupyter Notebooks and/or Shiny applications is a plus.

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.

Physical/Mental Requirements

Ability to perform mathematical calculations.

Ability to perform complex data analyses.

Non-standard Work Schedule, Travel Or Environment Requirements

10-20% travel

Additional Posting Locations: Groton, CT, Cambridge, MA, Peapack, NJ, New York, NY, Pearl River, NY

Last Date to Apply for Job: 9/4/2023

The annual base salary for this position ranges from $113,900.00 to $189,700.00. In addition, this position offers an annual bonus with a target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. Pfizer compensation structures and benefit packages are aligned locally, the US Salary range provided does not apply to the Tampa, FL or any EXUS locations.

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.

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