Postdoctoral Fellow in Biology (Argonne National Laboratory)

Description 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. The team is dedicated to developing innovative therapeutic strategies for targeting IDPs, including biologics such as protein-protein inhibitors, Proteolysis-targeting chimeras (PROTACs), nanobodies, and more. Key Responsibilities 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 Additional Responsibilities 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 Computational Resources The candidate will have access to state-of-the-art computing resources, including: NVIDIA DGX-2 Systems: Powerful platforms for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed for machine learning and AI workflows In addition to computational resources, the postdoctoral researcher will have access to dedicated wet-lab facilities at the University of Chicago and Argonne National Laboratory’s Biosciences Division, allowing for seamless computational and experimental research integration. Position Requirements A recent or soon to be completed PhD within the last 0–5 years Computational Biology: Strong background in systems biology and regulatory network modeling Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and experimental biologists Assay Expertise: Functional understanding of quantitative and high-throughput assays, particularly in biological signaling and screening contexts Machine Learning & Statistics: Proficiency in machine learning, statistical modeling, and quantitative methods for multi-omics data analysis Molecular Simulations: Expertise with molecular simulation tools like OpenMM, AMBER, Gromacs, and NAMD Deep Learning Development: Experience developing, validating, and deploying deep learning models, especially using PyTorch Multi-Omic Data Representation: Ability to build deep representations of multi-omic data Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork Job Details Job Family: Postdoctoral Job Profile: Postdoctoral Appointee Worker Type: Long-Term (Fixed Term) Time Type: Full Time Expected Hiring Range: $70,758.00 – $117,925.00 Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. [Click here to view Argonne employee benefits!] Equal Employment Opportunity Statement As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment. Additional Information Interested in translating science into innovation? Build your career at Argonne. At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future. To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site. To learn more about the exciting science going on at Argonne, visit our Science and Technology page. To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336. If you apply for this position please say you saw it on Academicoxy

Description

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. The team is dedicated to developing innovative therapeutic strategies for targeting IDPs, including biologics such as protein-protein inhibitors, Proteolysis-targeting chimeras (PROTACs), nanobodies, and more.

Key Responsibilities

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

Additional Responsibilities

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

Computational Resources

The candidate will have access to state-of-the-art computing resources, including:

NVIDIA DGX-2 Systems: Powerful platforms for AI and deep learning (details: NVIDIA DGX-2)
Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer)
Additional advanced compute architectures designed for machine learning and AI workflows

In addition to computational resources, the postdoctoral researcher will have access to dedicated wet-lab facilities at the University of Chicago and Argonne National Laboratory’s Biosciences Division, allowing for seamless computational and experimental research integration.

Position Requirements

A recent or soon to be completed PhD within the last 0–5 years
Computational Biology: Strong background in systems biology and regulatory network modeling
Interdisciplinary Collaboration: Experience working across disciplines with computational biologists, computer scientists, and experimental biologists
Assay Expertise: Functional understanding of quantitative and high-throughput assays, particularly in biological signaling and screening contexts
Machine Learning & Statistics: Proficiency in machine learning, statistical modeling, and quantitative methods for multi-omics data analysis
Molecular Simulations: Expertise with molecular simulation tools like OpenMM, AMBER, Gromacs, and NAMD
Deep Learning Development: Experience developing, validating, and deploying deep learning models, especially using PyTorch
Multi-Omic Data Representation: Ability to build deep representations of multi-omic data
Programming Proficiency: Strong knowledge of Python, C/C++, Julia, and other relevant programming languages
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork

Job Details

Job Family: Postdoctoral
Job Profile: Postdoctoral Appointee
Worker Type: Long-Term (Fixed Term)
Time Type: Full Time

Expected Hiring Range: $70,758.00 – $117,925.00

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. [Click here to view Argonne employee benefits!]

Equal Employment Opportunity Statement

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment.

Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.

Please be advised that Argonne positions require upon hire (or may require in the future) for the individual to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Additional Information

Interested in translating science into innovation? Build your career at Argonne.

At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.

To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site.
To learn more about the exciting science going on at Argonne, visit our Science and Technology page.

To request a reasonable accommodation or for other application support, contact us anytime at careers@anl.gov or 630-252-2336.

If you apply for this position please say you saw it on Academicoxy

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