Postdoctoral Researcher

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).

If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.

Job Posting Title:

Postdoctoral Researcher

   

Position Type:

Other Academic

   

Department:

LSUAM Science - BioS - Computational Evolution (Fabio Mendes (00085270))

   

Work Location:

0024 Life Sciences Building

   

Pay Grade:

Other Academic

   

Job Description:

The candidate will conduct research in coordination with Dr. Fábio Mendes and other members of LSU’s Department of Biological Sciences and Museum of Natural Sciences. The candidate will also work supervising graduate and undergraduate students in their respective research projects.

Duties Include:
70% RESEARCH: To conduct computational work on various projects of method development related to phylogenetic inference. The candidate will choose the projects that better suit their career and background. Computational tasks include (i) designing and implementing new statistical models for evolutionary inference, (ii) validating those models, and (iii) leveraging or compiling existing and new empirical data sets to show case the novelty and utility of the newly developed tools. The candidate will also be responsible for publishing manuscripts associated with its main projects, presenting new results in international conferences, actively pursuing funding opportunities, and assisting the PI in generating preliminary results for federal grants.

30% SERVICE, TRAINING & MENTORSHIP: The candidate is expected to help with the onboarding, mentoring of graduate and undergraduate students.

Minimum Qualifications:

PhD in evolutionary biology, computer science, bioinformatics, computational biology or a closely related field.

Specific experience of Strong computational skills. Fluency with the command line and scripting languages (R, Python, Julia). Some experience with version control tools (git), IDEs and lower-level languages (Java, C++, C).

Preferred experience with a Publication record that reflects career stage in the field of (computational) evolutionary biology. Demonstrated experience in carrying out in-silico pipelines and developing and maintaining library code bases.

   

Additional Job Description:

Special Instructions:

Please submit a current cv and contact information of 3 references. An official transcript showing highest degree obtained will be needed prior to hire. For questions or concerns regarding the position, please contact Lori Bond at lbond3@lsu.edu.

   

Posting Date:

March 20, 2026

   

Closing Date (Open Until Filled if No Date Specified):

June 18, 2026

  

Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

   

Essential Position (Y/N):

   

LSU is an Equal Opportunity Employer.

   

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.

   

HCM Contact Information: