What are the responsibilities and job description for the Machine Learning Scientist - Hsu & Konermann Lab position at Arc Institute?
About Arc Institute
The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.
While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include :
- Funding : Arc fully funds Core Investigators' (PIs') research groups, liberating scientists from the typical constraints of project-based external grants.
- Technology : Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.
- Support : Arc aims to provide first-class support-operationally, financially, and scientifically-that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.
- Culture : We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.
Arc has scaled to nearly 200 people to date. With $650M in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.
About the position
The Arc Institute is seeking a Machine Learning Scientist to join the Hsu and Konermann Labs at the Arc Institute (also affiliated with UC Berkeley Bioengineering and Stanford Biochemistry). The successful candidate will play a crucial role in advancing the state-of-the-art in generative AI applied to biology, including our frontier DNA foundation model (Evo). You will focus on developing ML models for biological data, leveraging frontier approaches like hybrid masked-causal objectives, discrete diffusion, mechanistic interpretability techniques, and more. You will also apply your models for important computational biology applications in genome mining, molecular technology development, and invention of new therapeutic approaches.
This role is a unique opportunity to advance state-of-the-art machine learning in genomics, contribute to high-impact scientific discoveries, and help define how computational approaches shape our understanding and engineering of biology. You will work in a highly collaborative team with expert experimental biologists to realize the full impact of your work, and also have the opportunity to contribute to Institute-wide machine learning efforts such as Arc's Virtual Cell Initiative.
About you
In this position you will
Requirements
The base salary range for this position is $124,000 to $148,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education / training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
Salary : $124,000 - $148,000
