As a Senior Scientist in Computational Chemistry, you will help drive innovation in how we design and optimize drug candidates. You will independently design and implement computational approaches that directly influence project direction from hit identification through clinical candidate nomination.

You will apply best practices from machine learning approaches that integrate with physics-based methods to accelerate the design cycle for therapeutic programs. You will join a team of highly skilled computational scientists eager to drive projects while developing and applying new tools and methods with exceptional scientific rigor.

Responsibilities

• Design and execute molecular modeling, docking, and structure analysis to guide chemistry synthesis priorities and support structure-based drug design efforts for therapeutic projects.
• Collaborate closely with medicinal chemists, biologists and structure biologists to design compounds that address potency, selectivity, and developability objectives.
• Apply physics-based methods (molecular dynamics, free energy calculations) alongside machine learning approaches to improve models and accelerate the design-make-test-analyze cycle for lead optimization.
• Contribute to the development of computational workflows and software that enables rapid analysis of compound designs across multiple programs.
• Stay current with advances in computational chemistry and machine learning for drug discovery to continuously improve methodologies and approaches.

Required Qualifications & Skills

• PhD in Computational Chemistry, Biophysics, Medicinal Chemistry, or a related field with substantial industry experience (4+ years) and demonstrated independence of research projects in a cross-functional drug discovery environment.
• Level will be determined based on demonstrated independence, technical depth, project ownership, and ability to influence in a cross-functional drug discovery environment.
• Strong experience in structure-based drug design, including molecular modeling, molecular dynamics simulations, free energy calculations, protein-ligand docking, and structure analysis to support lead optimization efforts.
• Demonstrated ability to work collaboratively in cross-functional drug discovery teams and clearly communicate computational results to experimental scientists.

Preferred Qualifications

• Understanding of medicinal chemistry principles, structure-activity relationships, and the factors that influence compound optimization toward clinical development.
• Experience working with structural biology data (X-ray crystallography, cryo-EM) and translating structural insights into design hypotheses.
• Experience with AI toolkits for drug discovery to apply machine learning, multi-agent systems or active learning approaches to improve compound designs.
• Programming proficiency in Python and experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow, or similar).
• Experience with cloud computing platforms (AWS) and Linux environments.

Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Come discover more about Otsuka and our benefit offerings; https://www.otsuka-us.com/careers-join-otsuka.

Disclaimer:

This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.