Data Scientist

5 days ago

Palo Alto, California, United States Arc Institute Full time

About Arc Institute

**Mission-Driven Research Institution**

The Arc Institute is a pioneering research organization dedicated to pushing the boundaries of basic science and technology development in pursuit of complex human disease treatments.

Headquartered in Palo Alto, California, we operate in partnership with esteemed institutions like Stanford University, UCSF, and UC Berkeley.

Our innovative approach involves full funding for Core Investigators' (PIs') research groups, allowing scientists to focus on groundbreaking projects without constraints.

We also provide cutting-edge technologies through our Technology Centers, optimizing experimental and computational tools in collaboration with Core Investigators.

Arc offers first-class support, enabling scientists to pursue long-term, high-risk research that can significantly advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.

We believe that culture matters enormously in science and strive to create an environment focused on scientific curiosity, truth, broad ambition, and selfless collaboration.

With over $650M in committed funding and a state-of-the-art lab facility, Arc will continue to grow rapidly in the coming years.

About the Position

**Machine Learning Scientist - Advancing AI in Biology**

The Arc Institute seeks a skilled Machine Learning Scientist to join the Hsu and Konermann Labs, affiliated with UC Berkeley Bioengineering and Stanford Biochemistry.

This role entails advancing the state-of-the-art in generative AI applied to biology, particularly our frontier DNA foundation model (Evo).

You will develop ML models for biological data, leveraging hybrid masked-causal objectives, discrete diffusion, mechanistic interpretability techniques, and more.

Additionally, you will apply your models to important computational biology applications in genome mining, molecular technology development, and therapeutic approaches discovery.

This position offers a unique opportunity to contribute to high-impact scientific discoveries and define how computational approaches shape our understanding and engineering of biology.

You will collaborate with expert experimental biologists, work on Institute-wide machine learning efforts like the Virtual Cell Initiative, and have the chance to realize the full impact of your work.

Requirements
  • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics, or related field, with 0-5 years of industry/academia experience post-degree.
  • Hands-on experience with training and evaluating machine learning models for large datasets.
  • High competency with Python, bash, and standard deep learning frameworks like PyTorch.
  • Experience with Linux, git/GitHub, Docker, and Jupyter/RMarkdown notebooks.
  • Appreciation for how choices in experimental design affect the data analysis process.
  • Enjoy working collaboratively and cross-functionally with experimental scientists.

Salary: $140,000 - $180,000 per year, depending on experience.

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