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Postdoctoral Position Computational Biophysics Jobs in Indiana

micro1 AI

Physics Modeling Expert - Remote

Fishers, IN · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Research Consultant - Physics AI

Carmel, IN · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Physics Modeling Expert - Remote

South Bend, IN · Remote

$80 - $140/hr

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

micro1 AI

Senior Scientific Reviewer - Physics

Fishers, IN · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology ...

micro1 AI

AI Training Specialist - Physics

South Bend, IN · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology ...

micro1 AI

AI Training Specialist - Physics

Fort Wayne, IN · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology ...

micro1 AI

AI Training Specialist - Physics

Carmel, IN · On-site +1

$80 - $150/hr

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology ...

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Postdoctoral Position Computational Biophysics information

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in computational biophysics?

To thrive as a Postdoctoral Researcher in Computational Biophysics, a strong background in physics, chemistry, or biology along with a PhD and advanced computational modeling skills is essential. Expertise in programming languages (such as Python, C++, or MATLAB), molecular dynamics software (like GROMACS or AMBER), and high-performance computing platforms is typically required. Excellent problem-solving abilities, collaboration, and effective scientific communication are standout soft skills in this field. These skills enable researchers to design, execute, and communicate complex simulations that advance understanding of biological systems and drive scientific discovery.

What is a postdoctoral position in computational biophysics?

A Postdoctoral Position in Computational Biophysics is a temporary research role for individuals who have recently obtained a PhD in a related field. In this position, researchers use computational tools and theoretical models to study biological systems at the molecular or cellular level. The work often involves simulating biomolecules, analyzing large datasets, and developing new computational methods to understand biological processes. These positions are typically held at universities or research institutes and are designed to provide further training and experience before pursuing a permanent academic or industry role.

What are some typical challenges faced by postdoctoral researchers in computational biophysics, and how can they be addressed?

Postdoctoral researchers in computational biophysics often encounter challenges such as integrating complex biological data with advanced computational models, staying current with rapidly evolving software tools, and balancing independent research with collaborative projects. These challenges can be addressed by proactively seeking interdisciplinary collaborations, attending workshops to enhance technical skills, and regularly consulting with mentors and peers. Establishing efficient workflows and participating in lab meetings also helps in managing time and staying aligned with research goals.

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Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University Academic Positions

Kokomo, IN

$42K - $58K/yr

Full-time

Re-posted yesterday

Job description

Position Details
Title Postdoctoral Fellow in Medical and Molecular Genetics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Medical & Molecular Genetics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Fellow in Statistical Genetics
The Department of Medical and Molecular Genetics at the Indiana University School of Medicine invites applications for a Postdoctoral Fellow to join the Human Evolutionary and Statistical Genetics (HESG) Lab.
The HESG Lab develops statistical and computational methods to understand human population history and the genetic basis of complex diseases. Our research sits at the intersection of population genetics, statistical genetics, and evolutionary disease genetics, with a particular emphasis on leveraging human genetic diversity to improve genetic discovery, fine-mapping, and biological interpretation.
The laboratory is currently supported by an NIH Pathway to Independence Award (K99/R00) from the National Institute of Mental Health (NIMH) and offers an outstanding environment for developing innovative quantitative methods, establishing independent research directions, and collaborating with investigators across Indiana University School of Medicine, the Broad Institute, and Massachusetts General Hospital.
Research in the HESG Lab spans three major areas. First, we develop population-genetic methods to reconstruct human population history and understand how migration, admixture, demographic change, and natural selection shape genetic diversity. Second, we develop statistical genetics methods for GWAS, fine-mapping, post-GWAS analysis, and disease-gene discovery. Third, we study evolutionary disease genetics by connecting human evolutionary history, genetic variation, and disease biology. Together, these efforts aim to transform human genetic diversity into a powerful resource for understanding complex disease mechanisms and advancing precision medicine.

Responsibilities
The successful candidate will have the opportunity to:
  • Develop novel statistical and computational methods for human genetics and complex disease research.
  • Conduct research in statistical genetics, population genetics, evolutionary disease genetics, and large-scale genomic data analysis.
  • Analyze genomic datasets from population biobanks, sequencing studies, psychiatric genetics studies, and other large-scale human genetics resources.
  • Lead independent research projects while working closely with the PI and multidisciplinary collaborators.
  • Publish research findings in leading peer-reviewed journals and present work at national and international scientific meetings.
  • Contribute to the generation of preliminary data, analytical frameworks, and methodological results that support NIH and foundation grant applications.

Training and Career Development
The HESG Lab is committed to providing a supportive and intellectually stimulating training environment. Postdoctoral fellows will receive close mentorship in developing independent research directions, writing manuscripts, presenting scientific findings, preparing grant and fellowship applications, mentoring junior trainees, and building a long-term career plan.
The position is well-suited for candidates interested in pursuing independent academic careers, research scientist positions, or leadership roles in human genetics, statistical genetics, computational biology, data science, or industry research.
What We Offer
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

The successful candidate will join a newly established and rapidly growing research program with strong institutional and NIH support. The laboratory emphasizes methodological innovation, rigorous quantitative thinking, reproducible research, open science, and collaborative team science. Postdoctoral fellows will have opportunities to shape the scientific direction and culture of the lab while developing independent research programs that address fundamental questions in human genetics, population history, psychiatric genetics, and complex disease biology.
Dr. Yuan's prior work provides the foundation for the HESG Lab's current research directions. His statistical genetics work includes the development of SuSiEx, a cross-ancestry fine-mapping framework published in Nature Genetics, as well as contributions to large-scale complex disease genetics studies, including a Crohn's disease exome sequencing study published in Nature Genetics. His population and evolutionary genetics work includes ArchaicSeeker2, published in Nature Communications, for detecting archaic introgression and reconstructing complex introgression histories. Building on this background, the lab continues to develop methods for reconstructing complex population histories, including MultiWaver, MultiWaverX, HierMultiMix, and the recently published HiMWA framework. Together, these studies reflect the lab's long-term goal of developing rigorous statistical methods that connect human evolutionary history, genetic diversity, and complex disease biology.

Basic Qualifications
Required Qualifications
Applicants must have:
  • A Ph.D. in Statistics, Biostatistics, Genetics, Bioinformatics, Computer Science, Mathematics, Data Science, or a related quantitative discipline.
  • Strong quantitative, computational, and programming skills.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work both independently and collaboratively.
  • Strong interest in developing statistical or computational methods for human genetics.
Preferred Qualifications
Experience in one or more of the following areas is preferred:
  • Statistical genetics
  • Human genetics
  • Population genetics
  • Evolutionary genetics
  • Bayesian statistics
  • Machine learning
  • Large-scale genomic data analysis
  • High-performance computing
Experience in human population genetics, evolutionary genetics, or related quantitative analyses is considered a plus but is not required.
Department Contact for Questions
Application
Applicants should submit:
  • Curriculum Vitae
  • Brief statement of research interests and career goals
  • Contact information for three references

though the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/33803
Applications will be reviewed on a rolling basis until the position is filled.

Kai Yuan, PhD
Assistant Professor
Department of Medical and Molecular Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
Principal Investigator
Human Evolutionary and Statistical Genetics (HESG) Lab
Computational Methods for Population History and Complex Disease
Email: yuankai@iu.edu
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02470-2026

Apply