Data Science AI Modeler (Life Sciences Biotech)

The heart of our Biotech client is at the forefront of biotechnology, leveraging cutting-edge artificial intelligence and machine learning technologies to revolutionize drug discovery and development. We are committed to advancing precision medicine and enhancing the therapeutic potential of biologics, including antibodies. Our team comprises experts in computational biology, bioinformatics, and machine learning, all working collaboratively to push the boundaries of science. You will report to the CDO and work a remote schedule with our headquarters in CA. Your primary responsibilities will include: Model Development and Application • Utilize state-of-the-art protein language models (LLMs) and machine learning techniques to analyze and optimize antibody sequences • Develop and refine computational models to predict the impact of sequence modifications on antibody affinity, stability, and manufacturability • Integrate structural biology data, such as protein-protein interactions and conformational changes, into AI models to enhance prediction accuracy • Data Analysis and Interpretation • Analyze large datasets of protein sequences and experimental results to identify patterns and insights that guide the optimization process • Collaborate with experimental scientists to validate model predictions and refine AI models based on experimental feedback • Cross-Functional Collaboration • Work closely with bioinformaticians, structural biologists, and immunologists to align computational strategies with biological goals • Collaborate with the production team to ensure that optimized sequences meet manufacturability standards, including expression levels and purification efficiency • Innovation and Research • Stay current with the latest advancements in protein language models, machine learning, and computational biology • Explore and implement novel AI techniques to address challenges in protein engineering and antibody optimization You will join a growing and well-positioned biotech startup that is very much in formation. Anticipate a lot can change in this early and exciting phase, providing many opportunities for significant impact. You will work with a very experienced leadership team, learn a broad range of skills, and help shape our culture, strategic direction, and outcomes. Join us, and help make a difference to patients! About You • Ph.D. or equivalent experience in Computational Biology, Bioinformatics, Structural Biology, Machine Learning, or a related field • Strong expertise in protein structure, function, and engineering, particularly in the context of antibodies • Experience with machine learning, including deep learning frameworks (e.g., TensorFlow, PyTorch) and protein language model. • Proficiency in programming languages such as Python, and experience with bioinformatics tools and databases • Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary environment • Strong communication skills, with the ability to present complex scientific concepts to both technical and non-technical audiences • Experience with high-throughput screening data and techniques for protein characterization. • Familiarity with concepts in immunology and antibody therapeutics Apply tot his job