Head of Platform Technology

Key Responsibilities

• Work cross-functionally with internal stakeholders to define and execute a strategy that grows the AI platform to unlock new genetic medicines.
• Build and lead a team of scientists dedicated to the development and implementation of sequencing, molecular profiling, and assay technologies across single-molecule and cellular assays to broad -omics applications.
• In collaboration with the Machine Learning team, identify opportunities, set strategy, and lead execution of projects for generation of large scale multi-omics data in disease-relevant contexts for model training validation. 
• Build an environment & culture focused on generating high quality proprietary data, and create a tight feedback loop between modeling & experiment through close collaboration with the machine learning, Target ID, and Platform Technology teams. 
• Work with the computational biology and engineering teams to develop analytical methods and ensure efficient data capture through the ELN system and Deep Genomics Nexus platform.
• Contribute to key corporate initiatives by supporting business development activities as well as identifying opportunities to access relevant data sets through strategic partnerships.
• Demonstrate strong leadership, personal accountability and interpersonal skills, and capability for mentoring (direct reports & others).
• Present data and strategy to scientists and management in internal and external venues and publish in peer-reviewed journals as appropriate.

Basic Qualifications:

• PhD in biological sciences with 15+ years of post-graduate experience in relevant roles (or equivalent) leveraging genomics technology in early stage drug development.
• 8+ years building, managing, and leading teams to meet goals of the organization, partners, and patients.
• A creative thinker with a “platform attitude” and direct experience developing and executing high-quality cell profiling assays and screens using various technologies in an advanced data and computing environment.
• Experience with quantitative analysis of on-/off-target effects and cell penetrance as applied to genetic medicines including, ASOs, gene editing, & gene therapy.
• Experience with automation and employing analytical, computational, and statistical methodologies to enhance development workflows.
• Proficiency in multiple of the following: phenotypic assays, gene editing, automation, high throughput qPCR/ddPCR,high-content imaging, and -omics technologies.
• Deep molecular biology expertise with experience in state-of-the art methods for large scale library production & screening using barcoded technologies including MPRAs, Pertub-seq, and other similar technologies.
• Proven ability to work independently and cross-functionally with highly skilled teams in a fast-paced, entrepreneurial, and technical environment.
• Strong managerial qualities, including a strategic and scientifically oriented mindset, attention to detail, strong organizational skills, emotional intelligence, credibility, integrity, creativity, and a willingness to have ideas challenged by team members and to challenge them.
• Ability to organize and communicate complex data sets in a clear and concise manner to key stakeholders from diverse backgrounds.
• Prior experience working with or leading collaborations with external biotechnology, academic, and contract research organizations.

Preferred Qualifications:

• Background in a scientific field involving quantitative modeling, such as biophysics or computational chemistry.
• Direct experience with building novel screening pipelines using single c.
• Experience with additional high throughput methods including quantitative imaging, proteomics, and functional genomics is highly beneficial.
• Familiarity with oligonucleotide chemistry and analytic methods would be beneficial.
• Strong computational background or demonstrated ability to interface with computational biology teams to develop computational pipelines for analysis of genomics data.
• Experience with multi-site project management and team leadership.

What we offer:

• A highly competitive salary, a meaningful equity ownership stake in Deep Genomics, and exceptional opportunities for learning and growth.
• Company paid benefits.
• You’ll also be joining a bright, collegial, highly-motivated group working at the intersection of two of the most exciting areas of science and technology: AI and biotechnology.