Machine Learning Researcher
20 hours ago
About the Arc Institute
">The Arc Institute is a pioneering research organization dedicated to advancing the frontiers of basic science and technology development. Our mission is to tackle complex human diseases through curiosity-driven research and cutting-edge innovation.
Headquartered in Palo Alto, California, we operate in partnership with Stanford University, UCSF, and UC Berkeley. Our unique institutional model allows us to foster collaboration and experimentation, leading to breakthroughs in biomedical research.
We are seeking a highly skilled Machine Learning Scientist to join our team at the Arc Institute. As a key member of the Hsu and Konermann Labs, you will play a crucial role in developing state-of-the-art machine learning models for biology, focusing on generative AI applied to biology.
You will work closely with expert experimental biologists to advance the understanding and engineering of biology. Your contributions will be instrumental in shaping our knowledge and approaches in computational biology, genome mining, molecular technology development, and therapeutic applications.
This position offers a unique opportunity to make significant scientific discoveries and contribute to the development of novel computational approaches in biology. You will have the chance to collaborate with a multidisciplinary team, work on high-impact projects, and help define the future of biological research.
Key Responsibilities:
- Develop and evaluate state-of-the-art machine learning models for molecular biology and genomics
- Apply recent advances in mechanistic interpretability to study genomic language models
- Contribute directly to ongoing discovery projects in the lab, including generative genomics, genome engineering, and therapeutics
- Effectively communicate analysis results to experimental scientists and computational researchers
Requirements:
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics, or a related field
- Hands-on experience with training and evaluating machine learning models for large datasets
- High competency with Python, bash, PyTorch, and other deep learning frameworks
- Experience with Linux, git/GitHub, Docker, and Jupyter/RMarkdown notebooks
- Familiarity with recent projects in the lab, including generative genomics and biological design
About You
We seek an exceptional individual who is passionate about developing machine learning models with real-world applications and scientific impact. You should have a strong understanding of modern deep learning, computational biology, and genetics, as well as excellent communication and teamwork skills.
Salary Range: $124,000 - $148,000 per annum, depending on experience and qualifications. This position is also eligible for an annual discretionary bonus based on individual and institute performance factors.
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