Sr. Associate Scientist, Digital Pathology

Posted Yesterday
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Pearl River, NY
Hybrid
65K-108K Annually
Entry level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
As a Senior Associate Scientist in Digital Pathology, you'll perform whole-slide image analysis and develop machine learning algorithms for quantitative analysis of histologic stains. You will also analyze imaging data, generate reports, and collaborate with teams to present findings, while adhering to regulatory standards.
Summary Generated by Built In

Why Patients Need You
Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge science and technology to accelerate and bring the best-in-class medicines to patients around the world.
What You Will Achieve
As a vital member of the digital pathology and image analysis group, you will support Pfizer's mission to deliver breakthroughs that change patients' lives. The role presents a unique opportunity to work on a wide variety of portfolio studies and be a part of the rapidly growing fields of computational and digital pathology. You will advance the Pfizer portfolio by performing whole-slide image analysis to quantify histologic stains, and protein and nuclei acid targets that have been labeled in tissue sections. Specifically, you will be responsible for performing various tasks in the imaging data workflow that include brightfield/fluorescence slide scanning, image quality assessment, generating digital image analysis endpoints, and performing statistical analysis and report generation.
How You Will Achieve It

  • Develop /deploy new and existing whole-slide image analysis algorithms using commercial and open-source software packages.
  • Develop custom ML/DL image analysis algorithms using commercial or open-source tools.
  • Independently analyze and interpret the data, perform statistical analysis of DIA endpoints, generate reports for internal teams and complete the studies in a timely manner
  • Present data to key project stakeholders within and outside of the organization
  • Perform whole-slide scanning of glass microscope slides into a virtual image archive using digital scanners
  • Organized, self-motivated, and capable of working independently or in a collaborative environment
  • Follow established operating procedures, maintain electronic/paper lab notebooks and imaging data and QC documents
  • Perform all regulatory responsibilities in compliance with applicable regulatory standards including Good Laboratory Practices and animal welfare regulations


Must-Have

  • Bachelor's degree in engineering or physical sciences, or related disciplines
  • 0-2 years of work experience in drug discovery and development.
  • Prior experience in whole slide image analysis is strongly preferred. All candidates with relevant technical expertise will be considered.
  • Demonstrable experience in deploying AI/ML algorithms using one or more image analysis software packages such as Visiopharm, HALO or QuPath.
  • Solid understanding of AI/ML concepts.
  • Working knowledge in one or more of the following programming languages: Python, MATLAB, R, C/C++.
  • Proficient in using office 365 suite, in particular, Microsoft Excel for data crunching.
  • Excellent written and oral communication skills
  • Ability to interact, contribute, and communicate effectively with the team.


Nice to have

  • Demonstrable experience in developing custom algorithms in Python for whole slide image analysis.
  • Working knowledge of GraphQL.


PHYSICAL/MENTAL REQUIREMENTS
- Requires sitting in front of a computer monitor for extended periods of time.
- Ability to perform complex data analysis and calculations
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Up to 10% travel required to attend business meetings and scientific symposia/meetings.
Other Job Details:

  • Last Date to Apply for Job: 27 NOVEMBER 2024.
  • Eligible for referral bonus.


Work Location Assignment: Flexible
Flexible colleagues are assigned a Pfizer site within a commutable distance where they work about 2-3 days weekly to connect and innovate with their team face-to-face. However, they also benefit from being able to work offsite regularly when it makes business sense to do so.
The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. 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. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
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. This position requires permanent work authorization in the United States.
Research and Development

Top Skills

C/C++
Matlab
Python
R

What the Team is Saying

Daniel
Anna
Esteban
The Company
HQ: New York, NY
121,990 Employees
Hybrid Workplace
Year Founded: 1848

What We Do

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.

Why Work With Us

We are the inventors, the problem solvers, the big thinkers — those who surmount any hurdle to deliver breakthrough medicines to the people who are counting on them the most.

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