Senior Research Scientist, High Content Imaging
Pfizer is hiring a Senior Research Scientist, High Content Imaging. It pays $94k-$156k a year and Level rates it ; you can apply on Pfizer.
Level's read on this job
- On Level's scale, this research scientist role is Little AI ●○○○: aI is not part of the work.
- The posting mentions visa sponsorship.
- The posting mentions Image Analysis Software, Flow Cytometry Software and high content imaging among its tools and skills.
- Level classes it as a senior role.
- Pfizer has 615 other open roles on Level.
AI in this role
Seeking a Senior Research Scientist to develop high-content imaging and flow cytometry assays, build analysis algorithms, and support small molecule discovery.
ROLE SUMMARY
We are seeking a highly motivated individual to join our high content imaging lab within the Discovery Biology and Pharmacology (DBP) group at the vibrant Groton campus in Connecticut. DBP is responsible for hit-identification, lead optimization, and molecular characterization of our small molecules and has teams focused on high-throughput screening, DNA-encoded libraries, pharmacology, protein homeostasis platforms, cellular models, functional genomics, and high-content imaging. The group is highly integrated with other groups in Medicine Design including Chemists, Structural Biologists, and Computational Scientists, and supports the small molecule portfolio across multiple therapeutic areas. The individual in this role will bring in rich experience in high content imaging and high throughput flow cytometry, and apply them to support our diverse small molecule portfolio spanning various therapeutic areas.
ROLE 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.
QUALIFICATIONS
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.
QUALIFICATIONS
Nice to have
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.
PHYSICAL/MENTAL REQUIREMENTS
Ability to perform practical laboratory bench work and work on a computer). Ability to perform mathematical calculations and interpret data.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Candidate may periodically be asked to travel to the Pfizer Cambridge, MA site to meet project team members and to attend appropriate meetings and conferences.
Candidate must comply with all laboratory safety practices.
Other Job Details
Relocation support available
Work Location Assignment: On Premise
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Research and DevelopmentHow we rate this
Senior Research Scientist, High Content Imaging at Pfizer rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in research scientist jobs at this level
Pay
- This job starts at
- $94k
- Typical research scientist job
- $190k
This posting starts 51% below the typical research scientist job. See research scientist jobs
Questions you could be asked
- Tell me about a project where high content imaging was part of your work. What did you do?
- Tell me about a project where flow cytometry was part of your work. What did you do?
- Tell me about a project where algorithm development was part of your work. What did you do?
- Tell me about a project where assay development was part of your work. What did you do?
- Walk me through how you've used Image Analysis Software in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: High Content Imaging, Flow Cytometry, Algorithm Development, Assay Development, and Image Analysis Software. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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