Responsibilities:

• Acts as a DMPK representative on project teams providing scientific and strategic input
• Design, execute, and manage the conduct, interpretation, and reporting of in vitro drug metabolism data, in vivo PK studies, and PK-PD studies
• Prepare data summaries and presents results to peers, colleagues, project teams and leadership
• Oversee outsourcing partners of DMPK studies, ensuring partners adhere to contractual standards, within budget
• Provides expert level contribution in the preparation and review of regulatory submissions
• Integrate in vitro ADME, in vivo PK, and PK/PD endpoints with discovery biology data to define structure activity- and structure-property-relationships to guide optimization strategies
• Develop data visualization strategies to ensure consistent data interpretation across project teams to drive portfolio decisions
• Aid in ADME knowledge management
• Effectively partner to apply innovative mechanistic modeling approaches to translate and predict human PK, inform clinical plans, and support compound registration
• Will provide mentorship to and frequently supervise the day-to-day work of less experienced team members

Requirements:

• PhD or equivalent and 4+ years of relevant experience; may include postdoc experience
• Demonstrated results/experience in working with interdisciplinary teams
• Working knowledge of the principles of ADME and pharmacokinetics
• Solid understanding of organic/medicinal chemistry
• Strong communication skills (written and verbal)
• Ability to lead, guide and influence teams in decision making
• Proficient in analyzing and visualizing multi-dimensional scientific data
• Excellent communication, problem-solving, analytical thinking skills
• Excellent project management skills
• Ability to mentor and direct the day-to-day work of less experienced team members
• Expertise acting as a large molecule DMPK representative on discovery teams
• Ability to work as part of and lead multiple teams
• Excellent written and verbal communication skills
• Evaluate and apply innovative PK and PK/PD approaches to predict human PK, using modeling to help generate hypotheses, design studies, inform clinical plans, and support registration