Head of Science Operations

优缺点分析

角色解读

• This role offers a seat on the AIDD leadership team, enabling influence over the scientific direction of an autonomous drug discovery platform.
• Opportunities for career advancement within a global healthcare company, potentially moving into broader R&D leadership.
• The chance to build and scale a team, developing senior scientific talent and establishing yourself as a leader in AI-driven drug discovery.
• Lead the Make and Test workflow for autonomous chemical synthesis and biological testing, ensuring high-quality data and timely results.
• Develop and maintain lab operations governance including SOPs, QC metrics, safety practices, and data lineage.
• Collaborate with automation and software teams to scale workflows and prioritize platform enhancements.
• Manage external partnerships with CROs, vendors, and academic partners, and build the scientific team from 5 to 10.
• Deep expertise in chemistry and/or biology assay development with hands-on lab experience.
• Proven scientific leadership in pharma, biotech, or CRO discovery programs.
• Experience with lab operations, SOPs, QC, and data management in high-throughput settings.
• Excellent communication skills for engaging customers, partners, and non-scientific stakeholders.

申请策略

• Tailor your application to emphasize your ability to translate lab needs into actionable requirements for automation and software teams.
• Research EMD Serono's AIDD initiatives and be prepared to discuss how your experience aligns with their closed-loop discovery approach.
• Highlight your PhD and 8+ years of industry experience in pharma, biotech, or CROs.
• Emphasize hands-on expertise in chemistry and/or biology assay development and workflow optimization.
• Showcase leadership experience, especially in building and mentoring senior scientific teams.
• Include examples of managing external partnerships and lab operations governance (SOPs, QC, data integrity).
• Familiarize yourself with ELN/LIMS systems, retrosynthesis tools, and high-throughput chemistry platforms.
• Understand basic AI/ML data interfaces and how to partner with data and software teams.

面试指南

• Use the STAR (Situation, Task, Action, Result) method for behavioral questions, focusing on your specific contributions and measurable outcomes.
• For technical questions, structure your answer by clearly stating the problem, your methodology, and the impact.
• Connect your experience to AIDD's mission by emphasizing how you can accelerate discovery through automation and AI.
• Describe your experience leading a multidisciplinary team of chemists, biologists, and automation scientists. How do you ensure scientific quality and timely results?
• How have you developed and implemented SOPs and QC metrics in a high-throughput lab environment?
• Can you give an example of how you optimized a complex workflow using data-driven decision making?
• How do you manage relationships with CROs and academic partners, and ensure alignment with scientific goals?
• What is your approach to scaling a team from 5 to 10 while maintaining culture and performance?