Research Scientists & Engineers - Generative AI for Biology

EPM Scientific • Palo Alto, CA

306d

About The Position

We 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 the next generation of life-changing solutions and hiring for individuals at all levels (preference Staff / Principal).

Requirements

• PhD (or evidence of equivalent expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, Bioinformatics, Biochemistry, or a related technical field.
• A strong track record in research and innovation, with contributions to top-tier AI/ML and/or core biology publications.
• 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.
• Demonstrated experience in developing, implementing, and debugging complex models.
• A drive for bridging AI and biology, with the ability to rapidly learn new domain knowledge.
• Familiarity with version control, documentation, and open-source contributions.

Nice To Haves

• 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.

Responsibilities

• Design, implement, and benchmark novel deep learning methods for a range of biological applications.
• Build, test, and deploy scalable, cloud-based pipelines that drive robust model training, testing, and inference.
• Work closely with a diverse team of experts in AI, computational biology, and traditional biological sciences to integrate cutting-edge techniques with complex datasets.
• Contribute to high-impact research by publishing findings in top-tier AI/ML and biology journals and conferences.
• Tackle high-level challenges in drug design, bio-engineering, personalized medicine, and fundamental biomedical research.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Administrative and Support Services
• Education Level: Ph.D. or professional degree