Senior Scientist Computational Chemistry

Our company is seeking a creative, self-motivated computational chemist and data scientist with exceptional interpersonal and problem-solving skills to join the Modeling and Informatics group at our West Point, PA site. We are expanding our capability in computational medicinal chemistry, predictive data science, and machine learning to support our future organizational strategy for therapeutic discovery.

Modeling and Informatics is a sub-team of Discovery Chemistry, who employ state-of-the-art capabilities in predictive sciences, AI/ML, and structure-based drug design to accelerate our invention of therapeutics for patients. We are an integral arm of both Discovery and Process Chemistry, and we collaborate seamlessly with teams across the globe to invent better molecules faster. With an unbiased approach to drug modalities, in-house access to the newest screening techniques, and world-class medicinal chemistry, we have a wealth of opportunities to impact our pipeline and ultimately save and improve patient lives.

The successful candidate will join multidisciplinary, highly collaborative discovery teams both locally and across the global network to invent novel medicines. This role is uniquely designed as a hybrid position, balancing direct early discovery project support (~50%), design, and deployment of data science and machine learning models (~50%). They will apply advanced computational techniques to active drug discovery programs and develop innovative computational methods, algorithms, and predictive tools to solve foundational problems in drug design.

• Serve as the primary computational chemistry partner on multidisciplinary discovery teams to drive candidate design and optimization through:
• Design of molecules utilizing existing computational drug discovery tools and techniques (structure- and ligand-based design, molecular docking, conformational sampling, molecular dynamics, and quantum mechanics).
• Informative data analysis, multi-parameter optimization (MPO), and molecular visualization.
• Protein construct design and binding-site ligandability assessment.
• Ligand library design, virtual screening (HTVS), and targeted library enumeration.
• Translating complex computational hypotheses and non-obvious model predictions into actionable synthetic targets for medicinal chemistry teams.
• Influencing teams in chemistry and adjacent functionalities by effectively communicating non-obvious insights from computational approaches to drive project decisions and inflections.

• Partner with existing Data Science team to design, build, benchmark, and deploy predictive AI/ML models (e.g., QSAR, deep learning, graph neural networks) for molecular property prediction, ADMET endpoints, and potency predictions.
• Develop and deploy automated computational workflows and reusable Python toolkits/pipelines for cheminformatics and structural modeling.
• Explore and implement cutting-edge machine learning methodologies, including generative chemistry models, active learning, and foundation models for molecular design.
• Collaborate closely with Cheminformatics, Data Science, and IT teams to scale computational chemistry tools and integrate models into enterprise software platforms.
• Establish best practices for scientific code versioning, reproducible data analysis, and model validation.

• Contributing to the overall wellbeing of our department by sharing knowledge, reusable workflows, and being invested in the success of your peers.
• Mentoring colleagues in emerging data science techniques and modern computational workflows.

• PhD in Computational Chemistry, Chemoinformatic, Chemistry, Data Science, or equivalent, with a computational/data science emphasis.

• Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, ligand- and structure-based design) and Linux environment.
• Proficiency in scientific Python programming (e.g., RDKit, OpenEye toolkits, Pandas, NumPy, SciPy).
• Demonstrated hands-on experience in applied machine learning, statistical modeling, or deep learning (e.g., scikit-learn, PyTorch, TensorFlow) applied to chemical, biological, or physical datasets.
• Ability to communicate, collaborate, and deliver results as a member of multidisciplinary teams.
• A strong desire to learn and to innovate.
• Ability to manage multiple priorities simultaneously across project delivery and method development.
• Strong oral and written communication skills with the ability to convey complex ML/computational concepts to non-specialists.
• Evidence of creative application of computational approaches to problems of pharmaceutical interest.
• Track record of recent publications and/or presentations and external presence.

• Demonstrated impact on molecule design in a biopharmaceutical or biotechnology industry environment.
• Expertise with commercial modeling software packages (e.g., Schrödinger, MOE, Openeye).
• Experience with modern software development practices (Git/GitHub, containerization with Docker, cloud computing environments such as AWS or Google cloud).
• Experience developing and deploying interactive data visualization applications or web tools (e.g. Spotfire).
• Familiarity with generative AI for de novo molecule generation, geometric deep learning, or large language models for scientific data.
• Experience with automated workflow orchestration tools (e.g., KNIME or Pipeline Pilot).

Current Employees apply HERE

Current Contingent Workers apply HERE

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As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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The primary location for this posting is:

Where required by law, the compensation range for this role is provided below.

The salary range for the primary location of this role is:

This range reflects the Company's reasonable expectation of the base salary applicable to this role at the time of posting. 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.