Computational Biologist

Unlock the Potential of Computational Biology at Argonne National Laboratory

We are seeking a talented Postdoctoral Appointee to join our team in the Data Science Learning Division and contribute to cutting-edge research in computational and systems biology. As part of this role, you will have the opportunity to explore the complex world of intrinsically disordered proteins (IDPs) and their impact on cancer therapeutics.

The successful candidate will be part of a multidisciplinary team of researchers working closely with the University of Chicago Comprehensive Cancer Center. Together, we aim to develop innovative therapeutic strategies for targeting IDPs, leveraging the latest advancements in computing infrastructure and machine learning algorithms.

In this position, you can expect to:

1. Develop foundational models to describe IDP interactions under various physiological conditions.
2. Use these models to iteratively design, validate, and refine experiments, leading to effective therapeutic strategies targeting IDPs.
3. Collaborate on the development of open-source machine learning tools to support these therapeutic designs.
4. Work closely with high-throughput screening teams at the University of Chicago, automating screening protocols in partnership with Argonne National Laboratory.

You will have access to state-of-the-art computing resources, including NVIDIA DGX-2 Systems, Intel-based Aurora Supercomputer, and additional advanced compute architectures designed for machine learning and AI workflows.

This is an exceptional opportunity to work in a dynamic and collaborative environment, pushing the boundaries of what is possible in cancer research and treatment. If you are passionate about computational biology and eager to make a meaningful impact, we encourage you to apply.

Salary Range: $80,000 - $100,000 per annum, depending on experience and qualifications.