Associate Scientist, Postdoctoral Fellow – AI/ML and Agentic AI for Drug Discovery

MSDMSDSouth San Francisco, California, United States
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Posted

10/8/2026

Employment

Full time

Range

$82k - $92k/year

Work style

Hybrid

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AI summary

Core responsibilities

The successful candidate will design and execute research to benchmark AI/ML methods and develop agentic AI frameworks for drug discovery. They will also analyze complex datasets and present findings at internal forums and external scientific conferences.

Requirements overview

Candidates must hold or be near completion of a PhD in Machine Learning, Computer Science, Computational Chemistry, or a related field. Strong expertise in Python, machine learning model development, and scientific communication is required.

Key skills

Artificial IntelligenceMachine LearningAgentic AICheminformaticsComputational ChemistryPythonPredictive ModelingStatistical AnalysisDrug DiscoveryDeep LearningGraph Neural NetworksLarge Language ModelsLangChainPyTorchRDKitData Interpretation

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Education requirements

postgraduate degree

About MSD

Industry

Pharmaceutical Manufacturing

Employees

39,739

Type

Public Company

Size

10,001+ employees

At MSD, known as Merck & Co., Inc., Rahway, NJ, USA in the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information, visit www.msd.com and connect with us on Facebook, Instagram, Twitter, and YouTube.

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Job categories

Science & ResearchTechnologyData & AnalyticsHealthcareEngineering

Description

Job Description Postdoctoral Research Fellow – Modeling & Informatics Be a part of the legacy: Postdoctoral Research Fellow Program Our Research Laboratories' Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. Position Overview: We are seeking a highly motivated scientist to fill a postdoctoral fellowship position in Modeling & Informatics (M&I), within Discovery Chemistry, at our company's Research Laboratories in South San Francisco, California. This is an exciting opportunity to conduct cutting-edge research in agentic artificial intelligence in an industry setting while learning about drug discovery at a high-caliber pharmaceutical company. The successful candidate will have access to high-performance computing resources and extensive internal data assets, collaborate with scientists from different research backgrounds, and apply modern AI/ML methods to automate and accelerate predictive modeling workflows in drug discovery. This role offers the chance to contribute to significant scientific publications and presentations at conferences, while gaining valuable experience in contemporary drug discovery. Responsibilities include but are not limited to: Design, execute, and interpret research that benchmarks standard AI/ML methods across internal and external drug discovery datasets. Develop and drive an independent research project to design and evaluate AI agent frameworks for drug discovery modeling. Refine agentic AI workflows to improve transparency, robustness, and decision-making. Analyze complex drug discovery datasets using appropriate statistical and machine learning tools. Present research findings at internal scientific forums, external conferences, and in peer-reviewed scientific journals. Education Minimum Requirement: Must currently hold a PhD OR Receive a Ph.D. no later than spring 2027 Ph.D. in Machine Learning, Computer Science, Computational Chemistry, Cheminformatics, Chemical or Biomedical Engineering, Applied Mathematics, or a related discipline. Required Experience and Skills: Demonstrated expertise in machine learning, cheminformatics, or computational chemistry. Strong record of scientific achievement, as evidenced by peer-reviewed publications and presentations. Hands-on experience building, training, and rigorously evaluating machine learning models in Python. Experience designing, conducting, and interpreting computational experiments, including model benchmarking. Strong quantitative and analytical skills, including statistical analysis and data interpretation. Ability to work independently while also thriving in a highly collaborative, multidisciplinary environment. Excellent oral and written communication skills. Preferred Experience and Skills: Experience with large language models and agentic AI (e.g., LangGraph, LangChain). Proficiency with modern ML frameworks and experiment-tracking tools (e.g., PyTorch, MLflow). Experience applying graph neural networks, chemical foundation models, or other modern deep learning approaches to molecular or drug discovery data. Experience with predictive modeling in drug discovery. Experience with cheminformatics tools (e.g., RDKit). Experience developing or improving agentic AI systems through feedback, adaptation, or alignment techniques. Demonstrated creativity and scientific independence in developing and executing research projects. The salary range for this role is: $82,000-$92,000 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. Required Skills: AI Agents, Artificial Intelligence (AI), Chemical Informatics, Computational Biology, Computational Chemistry, Computational Models, Machine Learning (ML), Python (Programming Language), Statistical Analysis Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: Yes Travel Requirements: 10% Flexible Work Arrangements: Hybrid Shift: Not Indicated Valid Driving License: No Hazardous Material(s): N/A Job Posting End Date: 10/19/2026 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requirements

  • •Artificial Intelligence
  • •Machine Learning
  • •Agentic AI
  • •Cheminformatics
  • •Computational Chemistry
  • •Python
  • •Predictive Modeling
  • •Statistical Analysis
  • •Drug Discovery
  • •Deep Learning
  • •Graph Neural Networks
  • •Large Language Models
  • •LangChain
  • •PyTorch
  • •RDKit
  • •Data Interpretation

Benefits

  • •Medical insurance
  • •Dental insurance
  • •Vision insurance
  • •Retirement benefits
  • •401(k)
  • •Paid holidays
  • •Vacation
  • •Compassionate leave
  • •Sick days
  • •Annual bonus
  • •Long-term incentive

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