Associate Director, Genomics Platform

About the Position

We are seeking an exceptional scientific leader for the Associate Director of Genomics Platform within the Multiomics Technology Center. You will work cross-functionally across experimental and computational teams from Arc’s Technology Centers and Core Investigator labs, manage a high-performing team of research scientists and associates in your Genomics Platform, lead our efforts in onboarding and scaling up next-generation sequencing technologies for Arc’s large-scale institute initiatives, and serve as a technical expert in genomics technologies across the institute.

You will play a central role in enabling large-scale sequencing for Arc’s Virtual Cell Initiative, which aims to create the first AI foundation model that makes accurate predictions of cellular responses to drug perturbations.

The ideal candidate combines deep scientific expertise in advanced sequencing technologies with proven people and project management skills and a track record of delivering large-scale projects under tight deadlines. This role requires a team-oriented mindset focused on delivering high-quality, rapid results to users and collaborators across the Institute.

• Scientific expert and team leader: You have deep expertise in advanced sequencing technologies and excel at developing high-performing scientific teams through goal execution and mentorship.
• Service-oriented and user-focused: You love enabling others  success, treat collaborators and users as valued customers, and consistently deliver solutions that exceed expectations.
• Systems thinker and process optimizer: You naturally think at scale, building efficient workflows and automated processes for large-scale research while balancing scientific rigor with operational demands.
• Results-driven under pressure: You thrive in fast-paced environments with tight deadlines, excel at prioritization, delivering complex projects on time in high-throughput settings.
• Collaborative: You enjoy building strong working relationships with users and collaborators, and excel at collaborating with cross-functional teams to achieve collective goals.
• Adaptable learner: You stay current with new genomics technologies, demonstrate sound judgment in implementing innovations, can pivot strategies effectively based on organization needs.

• Manage and professionally develop a fully funded Genomics Platform team of 4 FTEs, provide hands-on guidance and mentorship to scientists and research associates
• Oversee day-to-day operations of the Genomics Platform in a high-scale production environment
• Collaborate with cross-functional Technology Center teams (Genome Engineering, Data Infrastructure, Machine Learning, etc.) to enable large-scale, single cell sequencing dataset generation for Virtual Cell Initiative
• Manage multiple complex projects simultaneously, and ensuring timely execution under tight deadlines
• Drive initiatives to improve platform operational efficiency and turnaround time, develop and implement continuous improvement strategies
• Serve as a subject matter expert in genomic, epigenomic, and transcriptomic sequencing technologies, provide expert consultation and training to Arc users on advanced NGS technologies and the Genomics Platform
• Stay current with rapidly evolving scientific fields, identify, evaluate and implement new cutting-edge methodologies
• Attend and present at internal meetings, share project plans and results and ensure cross team alignment
• Establish and maintain relationships with external vendors and partners to facilitate seamless collaboration

• PhD, MD, or MD/PhD in genomics, molecular biology, biochemistry, or related field
• 8+ years of relevant experience in academic, biotechnology or pharmaceutical industry, with demonstrated success in high-scale production settings
• 3+ years of people management experience leading and growing scientific teams of 3 or more members
• Deep expertise in advanced sequencing platforms, particularly single-cell sequencing technologies
• Extensive knowledge of NGS library preparation workflows and computational aspects of multi-omic profiling
• Experience implementing process improvements and…