Postbaccalaureate Fellow in Experimental or Computational Biophysics

Postbaccalaureate Fellow in Experimental or Computational Biophysics Dartmouth College United States, Hampshire, Hanover Apr 17, 2026

Dartmouth College:

School of Arts & Sciences:

Sciences:

Chemistry Location Hanover, NH Open Date Apr 07, 2026 Description The Department of Chemistry at Dartmouth College invites applications for a Postbaccalaureate Fellow (PBF), at the rank of postgraduate research associate, in the area(s) of experimental biophysics or computational biophysics working with Professor Paul Robustelli. The fellow will work in an interdisciplinary research group on projects that integrate experimental and computational approaches to characterize the binding mechanisms of small molecules that target highly dynamic intrinsically disordered proteins at atomistic resolution. Applicants interested in working in experimental biophysics should have research experience in protein biochemistry and/or structural/biophysical characterization of proteins. Applicants interested in working in computational biophysics should have experience implementing and writing code in Python and research experience with computational methods in chemistry or biophysics (such as molecular dynamics simulations, molecular docking), or research experience applying mathematical, machine learning or AI approaches for analyzing high dimensional datasets. Applicants interested in applying for a computational role are highly encouraged to include a link to a GitHub repository containing Python code they have implemented. This position is ideal for students seeking research experience before applying to a PhD program. Postbaccalaureate Fellows (PBFs) work with faculty supporting and conducting scholarly research and teaching in anticipation of advancing their skills and experience to prepare for the next stage of their careers. PBFs are expected to contribute to all stages of research - including research design, literature searches, conducting experiments, collecting and analyzing data and writing reports and papers. PBFs may also have the opportunity to contribute in the classroom or in laboratory sections of courses, helping undergraduate students with labs, review sessions, paper editing and grading certain assignments. This position is full-time, non-remote, in-residence at Dartmouth College in Hanover, NH, with start date as early as August 1, 2026. Appointments are typically for a 1-year period. The compensation level will be $55,000 plus benefits. Fellows who are working in residence in Hanover, NH are eligible for Graduate Special Student status and the ability to take certain Dartmouth courses with the tuition paid by Dartmouth as a working condition fringe benefit. The benefit covers a maximum of 1 course per academic term the fellow is employed and in residence at Dartmouth. Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence. Applicants should address in their application letter how their research, teaching, service, and/or life experiences prepare them to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all. Qualifications Bachelor's in Chemistry, Biochemistry, Mathematics, Physics, Computer Science or a related field, completed by the start of the appointment. Applicants interested in working in experimental biophysics should have research experience in protein biochemistry (ie. protein expression and purification) and/or structural/biophysical characterization of proteins. Applicants interested in working in computational biophysics should have experience implementing and writing code in Python and research experience with computational methods in chemistry or biophysics (such as molecular dynamics simulations, molecular docking), or research experience applying mathematical, machine learning or AI approaches for analyzing high dimensional datasets. Applicants interested in applying for a computational role are highly encouraged to include a link to a GitHub repository containing Python code they have implemented. Intends to pursue graduate studies in Chemistry, Biochemistry, Biophysics, Physics or a related field This position is eligible for J-1 visa sponsorship for eligible candidates. Employment is contingent on authorization to work in the United States. Application Instructions Please submit the following electronically via

Interfolio:

1.

Application letter that addresses:

relevant research-related experience, any teaching or mentoring experience, preparation to serve Dartmouth's commitment to academic excellence in an environment that is welcoming to all, educational and career goals and how this position would advance them. 2. CV/Resume Name Email and phone/text contact Current position, or academic affiliation Date of (expected) undergraduate degree Academic concentration(s) List all academic classes (and final grades) you have completed that focus primarily on chemistry, biochemistry, physics, mathematics and computer science. Include programming languages and/or software and levels of proficiency. Applicants interested in computational research should include a link to GitHub repository containing code that they have written, implemented, or modified 3. Most recent academic transcript (unofficial transripts accepted) Review of applications will begin April 15, 2026 and will continue until the position is filled. Recommendation letters will be requested only for finalists. For questions about the position, please contact Professor Paul Robustelli at paul.j.robustelli@dartmouth.edu. Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Apply Now