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Paid Internship

Quantum Biology Laboratory
Washington D.C., US
Monthly stipends for paid interns commensurate with reliability and experience.
Posting live until
15 May 2024

Quantum Biology Laboratory, Howard University (Washington, DC)

Position Opening: Paid Internship

The Quantum Biology Laboratory (QBL) at Howard University in Washington, DC, has received a five-year grant from the Sloan Foundation to support its growing undergraduate and graduate internship program. Complementing the QBL’s current Sloan Matter-to-Life award, this internship grant will enable the QBL to nurture the talents of emerging young scientists through the creation of tailored research experiences to “explore quantum life” at the intersections of quantum optics, biological physics, condensed matter, molecular dynamics, neuroscience, informatics, and spectroscopy. The QBL is seeking undergraduate and graduate interns to commit to at least two academic semesters, or an academic semester and a summer, at a minimum commitment of 15 hours per week. Graduate students selected for the program would also serve as mentors for younger trainees. These internships can be organized remotely for those with suitable qualifications not based in the Washington metropolitan area.


  • Currently enrolled in a four-year undergraduate program (3rd or 4th year preferred), recent graduate, or enrolled in a masters or doctoral program. 1st and 2nd year undergraduates with limited research experience may be accepted on a trial basis as unpaid interns.
  • Currently majoring in physics, biophysics, biochemistry, chemistry, computer science, mathematics, neuroscience, or closely related discipline, with significant interest in equations and computation.
  • Familiarity with Chimera, PyMOL, GROMACS, or similar biomolecular modeling software and programming experience in Python, Fortran, or C desired.
  • Experience in high-performance computing and/or coding-intensive projects a plus.
  • Experience working in or closely with experimental groups a plus.
  • Strong interest in science and eagerness to learn.
  • Excellent communication and interpersonal skills.


  • Work as part of a project team under the direction of the principal investigator (PI), with other QBL members and trainees, with QBL collaborators, and independently on research-related tasks.
  • Participate actively and communicate effectively during lab/group meetings, seminars, and scientific conferences. Coordinate on-site and virtual meetings/lectures as needed.
  • Be responsive to communications from the PI and able to take direction.
  • Manage time and project(s) well with personal initiative.
  • Perform job-related administrative tasks as assigned.
  • Write well scientifically, including in the preparation of regular reports and potentially manuscripts for publication.


  • Hands-on experience with research projects.
  • Mentorship from experienced scientific professionals.
  • Networking and conference opportunities.
  • Flexible work arrangements to accommodate academic commitments.
  • Potential for remote work arrangements for suitably qualified candidates.
  • Monthly stipends for paid interns commensurate with reliability and experience.



  • Interested candidates should submit a CV/resume and a cover letter outlining their qualifications and overlap with QBL research areas to
  • Submit information for three (3) references, including name, job title, and email address, from professors in STEM classes and/or supervisors in STEM research to
  • Please include "[Undergraduate/Graduate] Internship Application" in the subject line of your email, selecting the appropriate student status. 
  • Applications will be accepted on a rolling basis, based on availability.

About Us: The QBL studies how collective quantum behaviors in living matter can be manifested, controlled, and exploited for the development of advanced tools and diagnostics. Investigators in the QBL use techniques from quantum optics, quantum information, theoretical physics, spectroscopy, structural/molecular biology, and high-performance computing to solve an array of problems relevant to quantum effects in living processes. For more information, visit                  

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