Qualifications
Requirements:PhD in Computational Biology, Machine Learning, Bioinformatics, or a related discipline, with a strong emphasis on single-cell analytics and machine learning, and at least 2 years of relevant industry experience, OR an MSc in a pertinent field accompanied by 5+ years of industry experience dealing with machine learning applications in single-cell or omics contexts. Deep understanding of machine learning and AI methodologies applicable to biological data, including but not limited to transformers, VAEs, diffusion models, and classical machine learning techniques. Proficiency in modern ML frameworks such as PyTorch or equivalent. Exceptional communication skills, capable of translating complex scientific concepts into clear, actionable insights for a diverse audience, both technical and non-technical. Ability to thrive in a fast-paced, iterative environment, adeptly transitioning from prototype to experimentation to insight. A genuine passion for advancing the intersection of biology and machine learning.
About the job
Join our innovative team at Helical as a Senior Computational Scientist, where your expertise in computational biology and machine learning will directly contribute to transformative drug discovery processes. You will play a pivotal role in bridging the gap between our foundational models and real-world applications, guiding model evaluations and practical use cases that address pressing challenges in drug development and translational research.
As a respected senior individual contributor, you will report to the Head of Computational Biology, with ample opportunities for career advancement into management roles as our team expands. You will collaborate closely with our research team, providing mentorship to junior scientists and working in tandem with Product and Business Development to translate advanced biological concepts and machine learning techniques into impactful solutions for our clients.
