Deep Genomics is a startup firm that goals to revolutionize drug growth utilizing synthetic intelligence constructed to decode RNA biology and RNA therapeutics. Our proprietary AI platform allows us to decode the big complexity of RNA biology to seek out novel targets, mechanisms, and molecules that aren’t accessible by way of conventional strategies. We use this superior expertise to find genetic targets for human illnesses, and develop RNA therapeutics, with a concentrate on steric-blocking oligonucleotides (SBOs) that obtain expression improve for the therapy of genetic illness. Based in 2015, our multidisciplinary staff consists of experience in a various vary of disciplines together with these present in a standard drug firm, in addition to machine studying, statistical genetics, utilized information science, deep bioinformatics, software program engineering and laboratory automation. Deep Genomics relies in Toronto, Ontario and Cambridge, Massachusetts.
Because the Head of Machine Studying, you’ll assume a pivotal function in main a dynamic, cross-disciplinary staff of ML scientists, ML engineers, and computational biologists, and collaborating carefully with our utilized information science, statistical genetics and software program engineering groups. You can be answerable for guiding and shaping our technique for growing differentiating ML capabilities for drug growth, and dealing immediately with the manager staff to realize ML targets that immediately influence firm targets and are significant to our companions, our traders and our board of administrators. You’ll play a key function in shaping the design and execution of ML analysis initiatives by harnessing the newest methodologies and finest engineering practices, together with basis fashions, transformers and generative AI. As well as, your tasks will embody staff coordination, expertise acquisition, and seamless collaboration with different departments inside the group. We’re searching for a self-motivated particular person with distinctive communication expertise and a excessive diploma of emotional intelligence. If in case you have the curiosity, ardour, and collaborative spirit, let’s work collectively!
What you deliver:
- A PhD in machine studying, pc science or different quantitative self-discipline; or equal trade expertise.
- Deep experience in modern AI/ML strategies and their functions to issues in genomics and associated areas of biology.
- Expertise managing groups of ML scientists and engineers, together with setting and monitoring staff targets and timelines, offering suggestions to people and supporting their growth, and coordinating with needed help features, comparable to software program engineering, information science, bioinformatics and statistics.
- Mentoring, growing and main junior employees from completely different backgrounds throughout machine studying.
- Technical management expertise and familiarity with fashionable software program engineering practices and instruments comparable to Github, CI/CD pipelines, cloud frameworks, and others.
- Demonstrated observe document in constructing collaborations and a capability to speak successfully with various groups and features, together with information scientists or computational biologists, engineers and experimental biologists.
- Expertise working below stress, managing initiatives and delivering outcomes on time.
- An inspirational and energetic working fashion, coupled with the very best requirements of scientific rigor and integrity.
What we provide:
- Constructing applied sciences that may immediately influence the lives of sufferers.
- A aggressive salary plus fairness compensation (ESOPs).
- A wide selection of company-paid advantages.
- Flexibility in distant working.
- Distinctive alternatives for studying and progress in a world-class staff of researchers and software program builders, working on the intersection of probably the most thrilling areas of science and expertise.
Deep Genomics welcomes and encourages functions from individuals with disabilities. Lodging can be found on request for candidates participating in all points of the choice course of.
Deep Genomics thanks all candidates, nonetheless solely these chosen for an interview can be contacted.