Senior ML/AI Cheminformatics Scientist

Posted Yesterday
Be an Early Applicant
Groton, CT, USA
In-Office
94K-156K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
Develop, deploy, and maintain ML models and cheminformatics workflows to predict molecular and ADME properties. Process and analyze chemical/biological datasets using cheminformatics toolkits, build SAR and QSAR models, optimize data pipelines, and collaborate with cross-functional teams to integrate AI-driven approaches into drug discovery. Ensure data integrity, reproducibility, and model monitoring.
Summary Generated by Built In
ROLE SUMMARY
As a Senior Cheminformatics Data Scientist within the Computational Absorption, Distribution, Metabolism, and Excretion (cADME) group in Pfizer's Pharmacokinetics, Dynamics, and Metabolism (PDM) organization, you will apply data-driven approaches to address critical challenges in small-molecule drug discovery.
In this role, you will develop, deploy, and continuously improve machine learning models for molecular property prediction and leverage Pfizer's proprietary chemical and biological datasets to inform decision-making across hit-to-lead and lead optimization stages. Your work will directly enable more efficient compound prioritization, improved prediction of ADME properties, and accelerated progression of discovery programs.
Success in this position will be defined by the delivery of robust, validated computational models and workflows that generate actionable insights and measurable impact on project outcomes. You will collaborate closely with cross-functional PDM partners and external collaborators to integrate AI-driven approaches into discovery workflows and maximize the value of Pfizer's industry-leading data assets.
KEY RESPONSIBILITIES
  • Develop and apply cheminformatics data-mining algorithms for the analysis of molecular modeling, virtual screening, and structure-activity relationship (SAR) analysis. Process and analyze chemical and biological datasets to evaluate properties such as drug-likeness, ADMET properties, dosing, etc.
  • Utilize molecular fingerprints, descriptors, and similarity metrics for compound clustering, classification, and regression.
  • Assist in development, maintenance, and monitoring of AI/ML models used for property prediction. Optimize data pipelines for processing and storing chemical structures using cheminformatics toolkits (e.g., RDKit, OpenEye,)
  • Collaborate with cross-functional teams to integrate computational approaches into curation and analysis workflows
  • Maintain best practices in data integrity, reproducibility, and documentation of QSAR AI/ML models

MINIMUM QUALIFICATIONS
  • PhD in a relevant field OR
  • Relevant Master's degree with 2+ years of experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or a related field.
  • Proficiency in Python, with experience with cheminformatics libraries and topics (RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS).
  • Experience working in a structured collaborative data and software development environment (git).Experience using SAR model-building software such as SciKit-Learn, Torch, etc.
  • Strong understanding of basic statistical concepts and how to evaluate and track model performance.

PREFERRED QUALIFICATIONS
  • Experience using DAGs to define data pipelines, e.g., Luigi, Airflow, Dagster, Prefect, Kubeflow.)
  • Experience working with relational (SQL) and NoSQL databases for chemical data management.
  • Experience working with MLOps tools such as MLFlow, Neptune, or SageMaker.

PHYSICAL/MENTAL REQUIREMENTS
Ability to perform mathematical calculations and ability to perform complex data analysis
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
Some travel required
Relocation support available
WORK LOCATION ASSIGNMENT: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week.
The annual base salary for this position ranges from $93,600.00 to $156,000.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. 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.
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 [email protected] . 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 Development

Skills Required

  • PhD in a relevant field OR Master's degree with 2+ years experience in Cheminformatics, Computational Chemistry, Bioinformatics, Data Science, or related field
  • Proficiency in Python
  • Experience with cheminformatics libraries and topics (RDKit, OpenEye, DeepChem, InChI, SMILES/SMARTS)
  • Experience working in a structured collaborative data and software development environment (git)
  • Experience using SAR model-building software such as scikit-learn and PyTorch (Torch)
  • Strong understanding of basic statistical concepts and model evaluation/monitoring
  • Experience using DAGs to define data pipelines (Luigi, Airflow, Dagster, Prefect, Kubeflow)
  • Experience with relational (SQL) and NoSQL databases for chemical data management
  • Experience with MLOps tools such as MLflow, Neptune, or SageMaker

What the Team is Saying

Daniel
Anna
Esteban
Pfizer

Pfizer Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes comprehensive medical with robust mental‑health networks, plus dental and vision options, and coverage for infertility/family‑building and transgender‑affirming care. Recent U.S. summaries name mental‑health partners and outline multiple plan choices.
  • Retirement Support The retirement program provides a 401(k) with company match plus an additional employer Retirement Savings Contribution, along with financial‑planning support and company‑paid life and disability insurance. These elements are highlighted as part of the core U.S. package.
  • Parental & Family Support Parental leave is described as up to 26 weeks in the U.S. when combining paid non‑medical parental leave with medical recovery where applicable, with exact pay and weeks dependent on circumstances and plan elections. Family‑building support includes egg preservation, adoption, and surrogacy coverage.

Pfizer Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
121,990 Employees
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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery

Pfizer Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2.5 days a week
Company Office Image
HQHudson Yards
Provincia de Buenos Aires
Andover, MA
Athens, GR
Chennai, IN
Collegeville, PA
Durham, NC
Groton, CT
Madison, NJ
Madrid, ES
Mumbai, Maharashtra
Rochester, MI
San Diego, CA
Seattle, WA
Company Office Image
Tampa, FL
Center for Digital Innovation
Learn more

Similar Jobs

Pfizer Logo Pfizer

Scientist

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Hybrid
4 Locations
121990 Employees
177K-294K Annually

Pfizer Logo Pfizer

Scientist

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Groton, CT, USA
121990 Employees
106K-177K Annually

Pfizer Logo Pfizer

Animal Care and Research Assistant

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Groton, CT, USA
121990 Employees
27-45 Hourly

Pfizer Logo Pfizer

​​Senior Manager, Planning and Production Solution​s--Global Clinical Supply Operations

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
Groton, CT, USA
121990 Employees
124K-207K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account