• The Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) function at research laboratories is seeking a highly motivated postdoctoral fellow with expertise in machine learning to help transform drug discovery and preclinical development
• You will join an interdisciplinary team and collaborate closely with research partners across our global organization
• You will invent, prototype, and apply advanced Machine Learning (ML) methods—particularly in generative modeling and related areas—to expand our capabilities in designing, prioritizing, and characterizing novel therapeutic candidates

Conduct original research to develop state-of-the-art AI/Machine learning methods for drug discovery (e.g., molecular generative models, multi-objective optimization, property prediction, active learning, document authoring, document generation, hybrid AI system, multi-agent system)

• Design and execute experiments, analyze results rigorously, and iterate rapidly on model architectures and training strategies
• Build robust, reproducible code and workflows; contribute to shared libraries and documentation
• Collaborate with chemists, biologists, Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) scientists, and data/ML engineers to translate methods into impactful applications
• Communicate findings through internal presentations and peer-reviewed publications; present at conferences and workshops

This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely

• Ph.D
• Required Experience and Skills
• Demonstrated research excellence and problem-solving ability; strong motivation to learn, innovate, and deliver
• Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Track record of publications and/or presentations in ML, computational chemistry/biology, or related fields

Excellent collaboration and communication skills; proven ability to work in cross-functional teams

(or completion within six months) in Computer Science, Statistics, Physics, Applied Mathematics, Bioinformatics, Computational Biology, Chem/Informatics, Engineering, or a related field

• Proficiency in core ML/statistics topics such as probability, statistical inference, optimization, discrete math/algorithms, and/or probabilistic modeling

Accountability, ADME, Clinical Study Management, Dosage Forms, Drug Metabolism, Ethical Compliance, Innovation, Machine Learning (ML), Modeling Simulations, Personal Initiative, Pharmaceutical Analysis, Pharmacodynamics, Pharmacognosy, Pharmacokinetic Modeling, Pharmacokinetics, Protocol Development, Regulatory Submissions, Scientific Writing

$70,500.00 - $110,900.00 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

More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits