Vice President Computational Biology & Machine Learning

Vice President of Computational Biology and Machine LearningA VC backed biotech is looking for Head of Computational Biology and Machine Learning to lead a multidisciplinary team in the development and application of machine learning methodologies to protein design. The ideal candidate will have a strong background in both computational biology and machine learning, with hands-on experience applying these technologies to solve complex protein engineering challenges. In addition to technical expertise, they are looking for a leader who can manage, mentor, and grow a dynamic team of scientists and engineers, while collaborating with cross-functional teams to shape strategic initiatives.Key Responsibilities:Lead the development and implementation of machine learning algorithms and models to optimize protein design workflows, including structure prediction, stability analysis, and functional prediction.Drive innovation in computational biology through the application of state-of-the-art machine learning methods to address protein design and optimization challenges.Oversee a talented team of computational biologists, data scientists, and machine learning engineers; provide mentorship, guidance, and career development.Collaborate with experimental biologists, chemists, and software engineers to ensure seamless integration of computational insights into experimental workflows.Identify and prioritize key projects that will have the highest impact on the company's protein design capabilities.Present research findings, technical reports, and project updates to internal stakeholders, including senior leadership.Stay up to date with the latest developments in computational biology, machine learning, and protein engineering to guide the team toward innovative solutions.Qualifications:Ph.D. or equivalent in Computational Biology, Bioinformatics, Machine Learning, or a related field.8+ years of experience in computational biology and protein design, with a proven track record of applying machine learning techniques to protein engineering problems.Strong knowledge of protein structure, folding, and function, with experience in designing algorithms for protein sequence-structure-function relationships.Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and bioinformatics tools.Proven leadership experience, including managing teams of scientists and engineers, and driving complex, cross-functional projects.Expertise in software development, algorithm optimization, and large-scale data analysis.Excellent problem-solving, communication, and interpersonal skills.A passion for applying innovative technologies to solve real-world biological challenges.

Created: 2025-03-03