Research Scientists & Engineers - Generative AI for Biology

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Job Description: Research Scientists & Engineers - Generative AI for Biology & MedicineWe are partnered with a newly established startup where visionary scientists, engineers, and entrepreneurs are redefining the future of biology and medicine through the power of Generative AI. We are building a transformative, interdisciplinary R&D team dedicated to decoding biology holistically and enabling thenext generation of life-changing solutions and hiring for individuals at all levels (preference Staff / Principal).Position: Research Scientists & Engineers - Generative AI for Biology & MedicineLocation: Silicon Valley, CA (with global outreach opportunities)Type: Full-TimeWhat You'll DoInnovative Method Development: Design, implement, and benchmark novel deep learning methods for a range of biological applications. This includes computational protein design, generative modeling, and large-scale biological data analysis.Pipeline Engineering: Build, test, and deploy scalable, cloud-based pipelines that drive robust model training, testing, and inference.Interdisciplinary Collaboration: Work closely with a diverse team of experts in AI, computational biology, and traditional biological sciences to integrate cutting-edge techniques with complex datasets-ranging from single-cell RNA sequencing to spatial transcriptomics and proteomics.Research & Publication: Contribute to high-impact research by publishing findings in top-tier AI/ML and biology journals and conferences, helping to shape the future of biomedicine.Cross-Disciplinary Problem Solving: Tackle high-level challenges in drug design, bio-engineering, personalized medicine, and fundamental biomedical research by bridging AI with biological insights.What We're Looking ForEssential Qualifications:Educational Background: PhD (or evidence of equivalent expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Bioinformatics, Biochemistry, or a related technical field.Proven

Innovation: A strong track record in research and innovation, with contributions to top-tier AI/ML (e.g., NeurIPS, ICML, ICLR) and/or core biology (e.g., Nature, Science, Cell) publications.Technical Expertise: Proficiency in deep learning frameworks (JAX, TensorFlow, or PyTorch) and programming languages (Python, C/C++, Java). A solid foundation in statistics, optimization, graph algorithms, and linear algebra is essential.Hands-On Experience: Demonstrated experience in developing, implementing, and debugging complex models, with a keen interest in generative methods, graph neural networks, or large-scale deep learning applications.Interdisciplinary Passion: A drive for bridging AI and biology, with the ability to rapidly learn new domain knowledge in a fast-paced startup environment.Engineering Best Practices: Familiarity with version control, documentation, and open-source contributions.Preferred Qualifications:3+ years of post-PhD industry or postdoctoral experience, ideally in a startup or top-tier research lab environment.Experience working with diverse biological datasets (e.g., transcriptomics, epigenetics, proteomics, genetics).Familiarity with biological structure prediction algorithms (such as AlphaFold, RosettaFold) and network/systems biology methodologies.Expertise in distributed training, ML on accelerators, and cloud services.Prior exposure to graph ML frameworks (e.g., PyTorch Geometric, DGL) and advanced generative models.Why Join Us?This is your chance to join a team of dreamers and innovators who are pushing the boundaries of what's possible in biology and medicine. With our global footprint and cutting-edge approach, you'll play a pivotal role in pioneering transformative solutions that impact healthcare on a worldwide scale. If you're ready to leverage your expertise at the intersection of AI and biology to drive revolutionary change, we'd love to hear from you.