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Senior Scientist Data Management

Groton, Connecticut
Closing date
Feb 7, 2023

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We are seeking an experienced data scientist to join a team of ~45 scientists within the Primary Pharmacology Group (PPG) at our Groton, CT campus focused on the data QC, analysis and management of internal and external data including high throughput screening (HTS) data supporting hit identification for the small molecule portfolio in Worldwide Research & Development across all therapeutic areas of pursuit for Pfizer. Data will come from a broad range of technologies including fluorescence, luminescence, high content imaging, flow cytometry, mass spec, and analysis will include single parameter, multiparameter, dose response, median polish, and various types of data integration

As part of the Primary Pharmacology Group (PPG) within Discovery Sciences, the successful candidate will apply their expertise in the analysis of pharmacology data and visualization tools to aid in hit ID efforts and contribute to strategic approaches on data management. Additional responsibilities include interactions with project teams, statisticians and our external vendors and management of the HTS portfolio.

The successful candidate will also combine strong technical/scientific rigor and problem-solving skills with a demonstrated ability to deliver comprehensive data packages to drive impact across multiple drug discovery hit ID approaches. Thus, another key skill to possess is strong collaborative and written/verbal communication skills and be adept at building partnerships.

The Primary Pharmacology Group offers a collegial and supportive environment for colleagues, with a culture encouraging openness, innovation, and ownership of our science. We aim to provide scientific and growth opportunities for personal and career development commensurate with a colleague's goals and experience.

  • Data Analytics/Publishing - data QC, data manipulation and analysis for HTS and SAR data
  • Design and execute data loading strategies to internal databases and troubleshooting errors in data loading
  • An ability for clear and concise interpretation, communication, and presentation of results.
  • Create and create and maintain dashboards for hit ID, performing data mining and meta-analysis in collaboration with computational pharmacology colleagues
  • Managing stakeholders both internal and external to convey the principal message of data management strategy in a technical and non-technical fashion with a cross-discipline team.
  • Proactively liaise with project teams to gather information, resolve issues, and provide analysis
  • Flexibility to pivot between multiple projects, roles, and technologies
  • Curious about new technologies and solutions, constantly seeking to improve the status quo.
  • Effective experimentation and metric design, tracking, and interpretation truly affect the bottom line.
  • Lead continuous improvement projects for data analysis, storage, and visualization as well as improved metadata capture for new and legacy data.

  • BS with 8+ years of experience relevant pharmaceutical industry experience OR MS with 6+ years of relevant industry experience OR PhD in relevant discipline
  • Demonstrated proficiency with data analysis and visualization tools.

  • Proficiency with data analysis tools such as IDBS Activity Base, IDBS Biobook, Genedata Screener, PE Signals, Spotfire
  • Knowledge of Spotfire or other visualization tools.
  • Familiarity with Excel VBA, Python, SQL or other scripting or query tools
  • Biology assay development and screening experience in a pharmaceutical setting using different liquid handling and plate reading technologies would be a plus.
  • Familiarity with compound screening workflows, from compound sample logistics to data visualization and sharing.
  • Familiarity or experience with PCA, UMAP, ML/AI would be a plus


Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis.

Work Location Assignment: On Premise


Relocation assistance may be available based on business needs and/or eligibility.


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.

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.

Research and Development

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