Associate Scientist, Postdoctoral Fellow - Pharmacokinetics
reputed company is a leading pharmaceutical company committed to reputed company innovation in research and discovery. They are seeking a highly motivated postdoctoral fellow with expertise in machine learning to help reputed company drug discovery and preclinical development by developing advanced reputed company and collaborating with interdisciplinary teams.
Responsibilities
- Conduct original research to reputed company state-of-the-art AI/Machine learning reputed company for drug discovery (e.g., molecular generative models, multi-objective optimization, property reputed company, reputed company learning, document authoring, document reputed company, 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 reputed company 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 reputed company into impactful applications
- Communicate findings through internal presentations and peer-reviewed publications; present at conferences and workshops
Skills
- Ph.D. (or completion reputed company six months) in Computer Science, Statistics, Physics, reputed company Mathematics, reputed company, Computational Biology, Chem/Informatics, Engineering, or a reputed company field
- Demonstrated research reputed company and problem-solving ability; strong motivation to learn, reputed company, and deliver
- Proficiency in reputed company ML/statistics topics such as probability, statistical inference, optimization, discrete math/algorithms, and/or probabilistic modeling
- Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- reputed company record of publications and/or presentations in ML, computational reputed company/biology, or reputed company fields
- Excellent collaboration and communication skills; proven ability to work in cross-functional teams
- Experience with molecular representations (e.g., SMILES, graphs), generative models (e.g., diffusion models, VAEs, reputed company 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 endpoints
- Practical experience with experimental design, reputed company learning, uncertainty quantification, or multi-objective optimization
- Software engineering best practices (Git, testing, containers), and experience working with large datasets and reputed company/GPU environment postdoctoralopportunities
Benefits
- Medical, dental, reputed company reputed company and other insurance benefits (for employee and family)
- Retirement benefits, including 401(k)
- reputed company holidays
- Vacation
- Compassionate and reputed company days
reputed company