Research Associate (Non-Tenure Track)

University of Maryland at Baltimore
Maryland, United States
Salary Not Specified
Posted Date
Jun 24, 2022

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Position Type
Faculty Positions, Health & Medicine, Pharmacology, Science, Technology & Mathematics, Other Science & Technology, Administrative, Academic Affairs, Research Administration
Employment Level
Non-Tenured Track
Employment Type
Full Time

Location: University of Maryland School of Pharmacy, Baltimore, MD

The University of Maryland School of Pharmacy is conducting an open search for a Research Associate (non-tenure track) in the Department of Pharmaceutical Sciences. The select candidate will engage in laboratory research with activities funded by the NIH. This position involves independent research projects and research projects in collaboration with lab members and external collaborators. The research associate will also help supervise graduate students and coordinate other lab research projects.

The University of Maryland, Baltimore campus houses schools of Pharmacy, Medicine, Nursing, Social Work, Law and Dentistry. Additionally, the School of Pharmacy has a satellite campus at the Universities at Shady Grove in Rockville, Maryland. The University of Maryland enjoys an excellent established record of accomplishment of successful collaboration for interprofessional practice and research collaborations with the other professional schools on campus.


We believe every person brings with them unique strengths, experiences, and perspectives and we value these differences. One of our best opportunities to deliver a workplace that is diverse, inclusive, and focused on equality is to hire candidates who share these values.

The successful candidate for this position will be able to describe and demonstrate their commitment to diversity, equity, and inclusiveness as well as how they contribute to a respectful, positive workplace.

  • Lead independent project research studies in collaboration with the PI.
  • Maintain laboratory records including well-organized electronic data files.
  • Present results to the PI and contribute to discussions and direction of studies in the lab.
  • Compile, analyze, and interpret research data using various computer software applications.
  • Prepare manuscripts, reports, reviews, and summaries.
  • Assist in writing, editing, providing feedback for grant proposals, funding applications.
  • Present research findings at national meetings.
  • Provide oversight to the day-to-day operations in the lab to keep the lab functioning optimally.
  • Orient new students to the lab.
  • Develop policies, procedures and/or methods for laboratory experimentation, and for ordering supplies.
  • Identify and address issues and deficiencies and implement effective solutions.
  • Coordinate with the system administrator to ensure continued operation and optimal usage of the lab computer equipment including high performance computing clusters.
  • Troubleshoot problems with experiments, equipment, or other issues that may arise.
  • Train and mentor graduate and undergraduate students. Demonstrate laboratory procedures.
  • Perform other duties as assigned.
Qualifications :

  • PhD in Chemistry, Biophysics, or a related field.
  • Minimum of two years post-doctoral training is required.
  • Candidate must have skills in computer programming with Python and Shell scripts.
  • Knowledge and research experience with advanced molecular dynamics simulation techniques and quantum mechanical calculations are required.
  • Knowledge in computer-aided structure-based drug discovery is required.
  • Knowledge and experience with machine learning is required.
  • Experience with bioinformatics tools is desired.
  • Experience with constant pH molecular dynamics is desired.
  • A solid record of publication in peer-reviewed journals is expected.
  • Excellent verbal and written communication, interpersonal, and organizational skills are a must.
  • Skilled in designing and conducting studies based on molecular dynamics simulations and quantum mechanical calculations.
  • Ability to network with and provide information to relevant groups and individuals.
  • Ability to work in collegial fashion with members in the lab.
  • Provide guidance and consultation to resolve issues.
  • Ability to independently perform research in a laboratory setting.
  • Ability to lead several research activities in parallel
  • Skilled in data analysis using Python programs and machine learning tools.
  • Ability to diagnose software installation issues.
  • Ability to design research studies and prepare technical reports and manuscripts.
  • Meticulous attention to details.
  • Excellent analytical skills.
  • Teamwork and Interpersonal skills.

Interested candidates must apply online through the UMB Online Recruitment System and submit an initial application that includes a letter of interest (reference Position Number 05-178-79), curriculum vitae (signed and dated), and the name and contact information of at least three references. Candidates are required to submit three letters of recommendation from reviewers external to the University of Maryland School of Pharmacy. In addition to applying online, interested candidates may email application materials to:

Jana Shen, Ph.D.

Professor of Pharmaceutical Sciences

Department of Pharmaceutical Sciences

University of Maryland School of Pharmacy

20 Penn Street, Baltimore MD 21201

Tel: 410-706-4187

Fax: 410-706-5017


UMB requires all faculty, staff, and students to be vaccinated against COVID-19. Exemptions for medical or religious reasons will be processed through Human Resources.

The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration of employment without regard of sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law or policy.

If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us a and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for a reasonable accommodation will be responded to from this email address.

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