Argonne National Laboratory · 17 hours ago
Postdoctoral Appointee - Computational and Systems Biology
Lemont, IL
Full-time
Onsite
New Grad
$71K/yr - $118K/yr
0+ years expArgonne National Laboratory is seeking a postdoctoral researcher to conduct cutting-edge computational and systems biology research. The role focuses on exploring how intrinsically disordered proteins mediate signaling mechanisms, particularly in cancer therapeutics, while collaborating with a multidisciplinary team to develop innovative therapeutic strategies.
EnergySecuritySocial Impact
No H1B
Security Clearance RequiredU.S. Citizen Only
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
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
Qualification
Required
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 quantitative methods for multi-omics data analysis
Expertise with molecular simulation tools like 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
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
Benefits
Comprehensive benefits are part of the total rewards package.
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
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