Director, Cheminformatics - Modeling & Informatics
Merck
5 hours ago
Remote friendly (Cambridge, MA)
United States
IT
Responsibilities:
- Set vision and strategy for cheminformatics capabilities and platforms to accelerate scientific learning and decision-making in drug discovery.
- Lead a multi-site team of cheminformatics and data science specialists across data engineering, analytics, and scientific software development.
- Develop talent; foster diversity of thought and an inclusive, high-performing culture.
- Engage stakeholders across drug discovery (target identification, chemical biology, lead optimization, safety) to enable impactful solutions.
- Translate scientific challenges into scalable data architectures, workflows, and algorithmic approaches.
- Drive next-generation cheminformatics workflows using modern technologies (ML incl. generative/predictive modeling, knowledge graphs, emerging AI).
- Ensure capabilities are deployed and adopted with project teams and modeling partners.
- Partner with IT to co-develop robust, sustainable platforms.
- Balance investment in new capabilities with effective utilization of existing solutions.
- Collaborate with Bioinformatics, Biostatistics, Quantitative Biology, and Modeling to align data science strategy.
- Work with Modeling, Structure, and Biophysics leadership to identify where cheminformatics enhances discovery efforts.
- Maintain portfolio visibility to identify emerging scalable cheminformatics needs.
Education Requirements:
- BS, MS, or PhD in cheminformatics, bioinformatics, chemistry, biology, or related STEM field.
Required Experience and Skills:
- PhD with 7+ years, MS with 9+ years, or BS with 13+ years applying computational/data science to drug discovery.
- 2+ years managerial experience in team building, talent development, and inclusive leadership.
- Experience building modern computational workflows (coding best practices, cloud systems, MLOps/DataOps).
- Strong knowledge of cheminformatics, data analytics, and data engineering for early drug discovery.
- Experience enabling predictive modeling/advanced analytics in a matrixed environment.
- Ability to collaborate across functions and influence strategy across domains.
- Experience partnering with IT to co-develop scalable platforms.
- Strong communication and stakeholder engagement skills.
Required Skills:
- Artificial Intelligence (AI), Cheminformatics, Cloud Computing, Data Science, Machine Learning (ML), People Management, QSAR, Stakeholder Engagement.
- Set vision and strategy for cheminformatics capabilities and platforms to accelerate scientific learning and decision-making in drug discovery.
- Lead a multi-site team of cheminformatics and data science specialists across data engineering, analytics, and scientific software development.
- Develop talent; foster diversity of thought and an inclusive, high-performing culture.
- Engage stakeholders across drug discovery (target identification, chemical biology, lead optimization, safety) to enable impactful solutions.
- Translate scientific challenges into scalable data architectures, workflows, and algorithmic approaches.
- Drive next-generation cheminformatics workflows using modern technologies (ML incl. generative/predictive modeling, knowledge graphs, emerging AI).
- Ensure capabilities are deployed and adopted with project teams and modeling partners.
- Partner with IT to co-develop robust, sustainable platforms.
- Balance investment in new capabilities with effective utilization of existing solutions.
- Collaborate with Bioinformatics, Biostatistics, Quantitative Biology, and Modeling to align data science strategy.
- Work with Modeling, Structure, and Biophysics leadership to identify where cheminformatics enhances discovery efforts.
- Maintain portfolio visibility to identify emerging scalable cheminformatics needs.
Education Requirements:
- BS, MS, or PhD in cheminformatics, bioinformatics, chemistry, biology, or related STEM field.
Required Experience and Skills:
- PhD with 7+ years, MS with 9+ years, or BS with 13+ years applying computational/data science to drug discovery.
- 2+ years managerial experience in team building, talent development, and inclusive leadership.
- Experience building modern computational workflows (coding best practices, cloud systems, MLOps/DataOps).
- Strong knowledge of cheminformatics, data analytics, and data engineering for early drug discovery.
- Experience enabling predictive modeling/advanced analytics in a matrixed environment.
- Ability to collaborate across functions and influence strategy across domains.
- Experience partnering with IT to co-develop scalable platforms.
- Strong communication and stakeholder engagement skills.
Required Skills:
- Artificial Intelligence (AI), Cheminformatics, Cloud Computing, Data Science, Machine Learning (ML), People Management, QSAR, Stakeholder Engagement.