Associate Scientist, Postdoctoral Fellow Pharmacokinetics

Job Description

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.

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) methodsparticularly in generative modeling and related areasto expand our capabilities in designing prioritizing and characterizing novel therapeutic candidates.

Primary 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 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

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 field

Required Experience and Skills

• Demonstrated research excellence and problem-solving ability; strong motivation to learn innovate and deliver
• Proficiency in core 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)
• 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

Preferred 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 endpoints
• Practical experience with experimental design active learning uncertainty quantification or multi-objective optimization
• Software engineering best practices (Git testing containers) and experience working with large datasets and cloud/GPU environment postdoctoralopportunities

Required Skills:

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Effective September 5 2023 employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week Monday - Thursday although the specific days may vary by site or organization with Friday designated as a remote-working day unless business critical tasks require an on-site 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. Please note this Hybrid work model guidance also does not apply to roles that have been designated as remote.

The salary range for this role is

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 employees 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 can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

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