Responsibilities

• High-content imaging assay design, development, and optimization: Apply a broad range of imaging and flow cytometry assay technologies to address project needs. Independently develop, optimize, and troubleshoot high-content imaging and flow cytometry assays.
• Imaging data analysis and interpretation: Design and implement advanced image-analysis workflows, build complex analysis algorithms, and streamline data processing to support medium- to high-throughput screening. Translate imaging data into clear, actionable biological insights.
• Imaging infrastructure management and continuous improvement: Partner with team experts to support high-content imaging and flow cytometry instrumentation, implement software solutions that enable advanced imaging applications and data analysis, and continuously improve imaging infrastructure and workflows.
• Screening and mechanistic studies: Execute screening campaigns and mechanism-of-action studies using high-content imaging and/or flow cytometry assays to support target validation, small-molecule identification and optimization, and clinical candidate selection.
• HTS and automation: Where applicable, partner with our high-throughput screening team to leverage automated systems to execute imaging and flow cytometry screens.
• Technology innovation: Stay current with advances in imaging technologies and partner with the broader team to identify, evaluate, and implement novel imaging technologies and instruments that address unmet portfolio needs.
• Leverage expertise in image algorithm development and imaging hardware and software to support the infrastructure, in close partnership with our Digital teams, and to support less experienced assay scientists in applying imaging and flow cytometry.

Requirements

• Must have
• Education: PhD in molecular biology, pharmacology, cell biology, biomedical engineering, or a related discipline (0 to 4 years of work relevant experience), with 2+ years of relevant experience applying fluorescence or confocal microscopy in biological research.
• Imaging assay expertise: Hands-on experience developing, optimizing, and troubleshooting high-content imaging assays; familiarity with flow cytometry assay platforms is strongly valued.
• Image analysis and data interpretation:   Strong familiarity with plate-based imaging systems and flow cytometry instrumentation. Experience using image-analysis software and quantitative data-analysis approaches to extract meaningful biological insights from imaging assay data. Experience with advanced image-analysis platforms, computational workflows, scripting, programming, or computational biology approaches that support algorithm development and data analysis.
• Scientific problem solving: Demonstrated ability to apply imaging-based approaches to address biological questions, troubleshoot technical challenges, and deliver fit-for-purpose assay solutions.
• Learning agility: Ability to quickly learn new technologies, adapt them to emerging project needs, and contribute to continuous improvement of imaging capabilities in the group.
• Communication and collaboration: Strong verbal and written communication skills, with the ability to work effectively in cross-functional teams and clearly present experimental results and scientific rationale.

Preferred

• Experience supporting small-molecule discovery programs or pharmacology studies across therapeutic areas such as Internal Medicine, Immunology & Inflammation, or Oncology.
• Experience designing and executing cell-based assays to investigate target biology, mechanism of action, or compound activity.
• Familiarity with implementing new technologies, instruments, or software tools to improve imaging workflows or expand laboratory capabilities.

Benefits

• 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.