Postdoctoral Appointee - Computational and Systems Biology

Postdoctoral Appointee – Computational and Systems Biology

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The Data Science Learning Division at Argonne National Laboratory is seeking a postdoctoral researcher to conduct cutting‑edge computational and systems biology research. The primary focus of this role will be exploring how intrinsically disordered proteins (IDPs) mediate signaling mechanisms, with a particular emphasis on cancer therapeutics. Supported by a multi‑year ARPA‑H grant, this project aims to revolutionize the development of therapeutic platforms for IDPs, creating significant advancements in cancer research and treatment strategies.

As part of a collaborative initiative with the University of Chicago Comprehensive Cancer Center, the postdoctoral researcher will work closely with a multidisciplinary team of computational and experimental biologists to develop innovative therapeutic strategies for targeting IDPs, including biologics such as protein‑protein inhibitors, Proteolysis‑targeting chimeras (PROTACs), nanobodies, and more.

• Develop foundational models to describe IDP interactions under various physiological conditions, both normal and cancer related.
• Use these models to iteratively design, validate, and refine experiments, leading to effective therapeutic strategies targeting IDPs.
• Collaborate on the development of open‑source machine learning tools to support these therapeutic designs.
• Work closely with high‑throughput screening teams at the University of Chicago, automating screening protocols in partnership with Argonne National Laboratory.
• Drive research at the intersection of automation, robotics, generative AI, and computational simulations, leveraging the latest advancements in computing infrastructure.

• Exercise independent judgment in research activities and possess strong writing skills.
• Gain experience developing machine learning models at a world‑class high‑performance computing facility.

• NVIDIA DGX‑2 Systems:
  Powerful platforms for AI and deep learning.
• Intel‑based Aurora Supercomputer: A next‑generation supercomputing system.
• Additional advanced compute architectures designed for machine learning and AI workflows.
• Dedicated wet‑lab facilities at the University of Chicago and Argonne National Laboratory’s Biosciences Division for seamless computational and experimental research integration.

• A recent or soon to be completed PhD within the last 0‑5 years.
• Strong background in systems biology and regulatory network modeling.
• Experience working across disciplines with computational biologists, computer scientists, and experimental biologists.
• Functional understanding of quantitative and high‑throughput assays, particularly in biological signaling and screening contexts.
• Proficiency in machine learning, statistical modeling, and methods for multi‑omics data analysis.
• Expertise with molecular simulation tools such as OpenMM, AMBER, Gromacs, and NAMD.
• Experience developing, validating, and deploying deep learning models, especially using PyTorch.
• Ability to build deep representations of multi‑omic data.
• Strong knowledge of Python, C/C++, Julia, and other relevant programming languages.
• Alignment with Argonne’s core values of impact, safety, respect, integrity, and teamwork.

Location:

Lemont, IL. Salary: $40,000 – $45,000. Posted 2 weeks ago.