• Strategic Leadership:
• Define and execute the comprehensive data science strategy
• Coach, mentor, and lead a high-performing data science team to deliver transformative solutions
• Maintain strong relationships with partner functions
• Oversee the development and deployment of novel data science innovations
• Deploy Generative AI (GenAI) and Large Language Models (LLMs)
• Create scalable platforms for R&D data analytics
• Develop generative models for scientific applications using GNNs or Transformers
• Design computational frameworks to enhance predictivity and augment decisions for complex therapeutic portfolios
• Forge strong, collaborative partnerships with internal R&D leaders across Chemistry, Biology, DMPK, Bioanalysis, Toxicity, Formulation, and Translational Medicine
• Engage with cross-functional stakeholders to identify and manage high ROI data science projects
• External Collaboration & Influence:
• Identify opportunities for strategic external collaborations with academic institutions and AI institutes
• Keep a finger on the pulse of the field and represent the company at AI/ML events

This 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

• A PhD and a minimum of 7 years of experience in the pharmaceutical industry, with a proven track record of progressing leadership roles OR an MS and 10+ years of experience
• Required ​Technical Expertise:
• Excellent communication skills to explain complex concepts in terms appropriate to a range of audiences

No Travel Required

• Ph.D. or MS in a scientific or computational discipline (e.g., Biochemistry, Biophysics, Computational Biology, Chemistry, Engineering, Computer Science or related STEM field)
• Domain knowledge across multiple R&D functions, including but not limited to molecular design, bioanalysis, ADME, PK/PD, translational, and (digital) clinical trials
• Expert-level knowledge of modern AI/ML, including Generative AI, LLMs, Graph Neural Networks (GNNs), and Transformers, applied to scientific challenges

ADME, Bioanalysis, Biochemical Analysis, Biological Sciences, Computational Biology, Data Modeling, Data Science, Data Visualization, DMPK, Drug Metabolism, Graph Neural Network (GNN), Leadership, Machine Learning (ML), PBPK Modeling, PKPD Modeling, Project Leadership, Stakeholder Relationship Management, Technical Acumen, Toxicity Studies

$187,000.00 - $294,400.00 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