Associate Director, Deep Genomics

• PhD in Computational Biology, Bioinformatics, Genomics, or a related field
• 5+ years of relevant postdoctoral and/or industry experience in computational biology, bioinformatics, or multi-omics analysis
• Demonstrated expertise in NGS data analysis, including amplicon sequencing, bulk and single-cell RNA-seq, and other profiling methods
• Strong programming skills (e.g., R, Python), with experience in cloud computing and data management
• Experience managing, mentoring, and developing direct reports
• Proven ability to lead and manage all computational aspects of cross-functional projects/programs and communicating complex computational concepts to both technical and non-technical audiences
• Strong analytical and problem-solving skills, with a focus on delivering practical, impactful solutions
• Ability to align scientific/technological innovation with business objectives, driving technological differentiation and competitive advantage

Desirable

• The Associate Director, Data Product, reporting to the VP of Platform Technology, will play a key leadership role, guiding a team of talented scientists to drive innovative computational solutions in support of our AI-guided drug discovery and development programs
• This individual will be responsible for setting the scientific and strategic direction for computational biology, overseeing the design and execution of next-generation sequencing data analyses, and ensuring the delivery of high-quality, actionable insights that advance our pipeline
• As both a hands-on scientific leader and an effective people manager, the Associate Director will foster a collaborative and inclusive team environment, mentor and develop team members, and ensure the group’s technical excellence. The successful candidate will work closely with cross-functional partners—ML, Target ID, ML, engineering teams—to integrate computational approaches into all stages of research
• This is an outstanding opportunity for an accomplished computational biologist with proven leadership skills to make a significant impact in a fast-paced, innovative environment
• Team Leadership: Directly supervise, mentor, and develop a team of four computational biologists. Foster a collaborative, innovative, and high-performing team culture that drives the success of the company’s platform. Set clear goals and ensure the timely, high-quality delivery of project milestones
• Strategic Direction: Define and execute the computational biology strategy in alignment with company objectives. Facilitate effective communication and collaboration between the computational biology team and other functions (e.g., Target Identification, Machine Learning, Engineering)
• Pipeline Oversight: Oversee computational pipelines for discovery-stage and preclinical programs. Build and maintain robust, scalable analysis pipelines and workflows to capture and analyze large-scale experimental datasets. In collaboration with the ML team, produce data packages that demonstrate the value of the AI platform in drug discovery
• Platform Evaluation: Partner in the regular evaluation of the platform to ensure it can define and handle valuable large datasets and complex analyses according to the product roadmap. Collaborate with cross-functional teams to enhance the platform’s computational infrastructure, integrating advanced technologies to improve capabilities
• Data Integration & Experimental Design: Identify and integrate external datasets in collaboration with the engineering and machine learning teams. Contribute to the design of experiments for model evaluation in partnership with the Target Identification and experimental teams