Overview
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.
Responsibilities
- 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)
- 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
Education Minimum Requirements
Ph.D. (or completion within six months) in Computer Science, Statistics, Physics, Applied Mathematics, Bioinformatics, Computational Biology, Chem / Informatics, Engineering, or a related fieldRequired Experience and Skills
Demonstrated research excellence and problem-solving ability; strong motivation to learn, innovate, and deliverProficiency in core ML / statistics topics such as probability, statistical inference, optimization, discrete math / algorithms, and / or probabilistic modelingStrong 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 fieldsExcellent collaboration and communication skills; proven ability to work in cross-functional teamsPreferred Experience and Skills (nice to have)
Experience with molecular representations (e.g., SMILES, graphs), generative models (e.g., diffusion models, VAEs, flow models), and sequence / structure models (e.g., transformers, GNNs, protein or RNA models)Familiarity with cheminformatics / biophysics toolkits (e.g., RDKit), docking or molecular simulation, ADMET modeling, or DMPK-relevant endpointsPractical experience with experimental design, active learning, uncertainty quantification, or multi-objective optimizationSoftware engineering best practices (Git, testing, containers), and experience working with large datasets and cloud / GPU environmentsCurrent Employees apply. Applications are not linked in this text. Current Contingent Workers apply. Applications are not linked in this text.
Apply
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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
Required Skills
Algorithms, Artificial Intelligence (AI), Computational Biology, Computational Chemistry, Computer Science, Electrical Engineering, Machine Learning, Physics, Statistical Inferences, Statistics
Preferred Skills
Job Posting End Date
10 / 7 / 2025
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.J-18808-Ljbffr