About Us
Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.
About the Role
Reporting to the CSO, the Head of Platform Technology will define, grow, and manage a team responsible for evaluating, integrating, and advancing our NGS, genomics, molecular biology, and cellular technology capabilities. The team is responsible for applying these methods to generate high quality, proprietary, multi-omics data at scale for training and validation of AI capabilities for uncovering pathway biology and new biological mechanisms, novel target ID, and optimization of nucleic acid therapeutics. This is a highly innovative position that requires a deep understanding of NGS method development, genomic data generation, molecular biology, screening technologies, and a passion for developing cutting-edge genomic technologies. It also requires the ability to build production scale pipelines leveraging automation as appropriate to achieve scale, throughput, and reproducibility. You will work closely with the Machine Learning, Platform Biology, and Computational Biology teams to design experiments, analyze NGS data, and help interpret results for cross-functional teams.
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.
Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
