Scientist III, Computational Biology

Perform in a fast-paced environment towards antibody development & testing. Serve as technical lead to help evaluate and develop genAI and computational platforms to facilitate high throughput workflows in recombinant antibody development platforms. Informal leadership of team of scientists in matrix style operation, provide technical and operational supervision. Mentoring and training junior scientists in computational biology and bioinformatics, interpreting data and data presentation to collaborators and partners. Serve as authority in the field of computational biology, bioinformatics, and next generation sequencing pipelines to provide inputs and guidance towards driving innovation and collaborations. Partner with supporting functions such as product management, program management, operations, and business development to meet program goals. PhD with 5 to 7 years' experience, or . Master’s degree with 10 to 13 years' experience . Applicants should have a degree in computer science, bioinformatics, computational biology or related field with a strong focus on sequence analysis and sequencing pipelines, computational or genAI based methods for protein/antibody design. Extensive experience with computational protein design and engineering, bioinformatics analysis, next generation sequencing analysis pipelines. Expert level proficiency in Python, R, bioinformatics/computational biology and statistical tools like Pymol, Chimera, BLAST, Alphafold, ggplot etc. Proficiency in deep learning models and/or knowledge of large language models (LLMs), prompt engineering, and experience in implementing these tools to biological questions is highly desirable. Experience with website and/or database design using various platforms such as HTML, JavaScript, ShinyR, PowerApps etc. Broad knowledge of antibody development and engineering including hybridoma, display technologies, single B cell, and other antibody platforms is a plus. Experience in people mentorship and supervision is a plus. Flexibility and adaptability to work in a fast-paced research environment. The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate to varied colleagues. Job Description. Role & Responsibilities. Responsibilities.