Research Associate Visa Sponsorship Jobs in Louisiana
Louisiana's research associate jobs are concentrated in Baton Rouge and New Orleans, driven by LSU, Tulane University, and major petrochemical and biomedical research institutions. Employers across life sciences, environmental science, and energy sectors actively hire international candidates and have established histories of H-1B visa and J-1 visa sponsorship for qualified research professionals.
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Get Access To All JobsJob Posting Title:
Research Scientist - Associate
Position Type:
Professional / Unclassified
Department:
LSUAM Science - BioS - Computational Evolution (Fabio Mendes (00085270))
Work Location:
0202 Life Sciences Building
Pay Grade:
Professional
Job Description:
The candidate will support advanced computational research in phylogenetic inference, evolutionary modeling, and open-source scientific software development. The position will independently lead and contribute to the design, implementation, validation, and maintenance of scientific software. The candidate will develop Bayesian inference and AI-based methods and implement them, when applicable, as tested components of established research software platforms, e.g., BEAST 2, RevBayes, and related C++ or Java-based applications. The position requires specialized expertise in scientific programming, Bayesian computational, software architecture, phylogenetic methods, and collaborative research software development. The position will also contribute to preliminary analyses for grant proposals, manuscripts, documentation, tutorials, conference presentations, and technical mentoring of graduate students, postdoctoral researchers, and collaborators.
Duties Include:
-
65% RESEARCH: Design, implement, test, document, and maintain scientific software for Bayesian and AI-based phylogenetic and evolutionary statistical learning. Develop models, algorithms, plugins, and computational tools in open-source research software platforms, including C++ and Java-based systems. Contribute to software architecture, code quality, performance, debugging, infrastructure testing, version control workflows, reproducibility, documentation, and long-term maintainability.
-
20% SERVICE, TRAINING & MENTORSHIP: Provide technical leadership, mentoring, and guidance to graduate students, postdoctoral researchers, and collaborators working on computational and software-related aspects of phylogenetic research. Train group members in scientific programming, C++, Java-based research software development, Bayesian computation, software design, version control, testing, debugging, documentation, code review, and collaborative open-source development. Help establish appropriate software development practices and standards for research projects.
-
15% SCIENTIFIC RESEARCH PLANNING & COMMUNICATION: Contribute to peer-reviewed publications, grant proposals, preliminary results for external funding applications, conference presentations, workshop materials, software documentation, tutorials, and other scholarly or community-facing research products.
Minimum Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 5 years experience.
Specific experience required:
-
Demonstrated record of independently designing, implementing, validating, and maintaining scientific, statistical, or computational research software;
-
Demonstrated expertise in Bayesian inference, phylogenetic methods, evolutionary modeling, statistical computation, or closely related computational methods;
-
Substantial programming experience in C++, Java, or comparable languages used in scientific software development.
Preferred Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 8 years experience.
Specific experience preferred:
-
Experience developing, maintaining, or making substantial contributions to open-source scientific software;
-
Experience developing Bayesian phylogenetic software such as BEAST, BEAST 2, RevBayes, MrBayes (or comparable scientific software platforms), MCMC methods, probabilistic models, and high-performance scientific computing methods;
-
Experience with collaborative software development practices, including version control, issue tracking, code review, testing, debugging, continuous integration, documentation, and software release workflows.
Job competencies:
-
Proficient in Programming in C++, Java, or comparable language used in scientific software development; Implementing and testing high-performance statistical inference algorithms in large software platforms; Documenting and maintaining large computational methods code bases, as well as releasing such methods to the user base; Developing methods, algorithms and models for use in evolutionary biology, with a focus on phylogenetic inference.
-
Advanced in Mentoring and providing technical support to graduate students and postdocs and Communicating results clearly in written (manuscripts) and oral form (talks).
Additional Job Description:
Special Instructions:
Please submit a current CV, 3 references with contact information. An official copy of your transcript with the highest degree will be needed prior to hire. For additional information, please contact Lori Bond at lbond3@lsu.edu.
Posting Date:
July 27, 2026
Closing Date (Open Until Filled if No Date Specified):
August 1, 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.
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:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.
Job Posting Title:
Research Scientist - Associate
Position Type:
Professional / Unclassified
Department:
LSUAM Science - BioS - Computational Evolution (Fabio Mendes (00085270))
Work Location:
0202 Life Sciences Building
Pay Grade:
Professional
Job Description:
The candidate will support advanced computational research in phylogenetic inference, evolutionary modeling, and open-source scientific software development. The position will independently lead and contribute to the design, implementation, validation, and maintenance of scientific software. The candidate will develop Bayesian inference and AI-based methods and implement them, when applicable, as tested components of established research software platforms, e.g., BEAST 2, RevBayes, and related C++ or Java-based applications. The position requires specialized expertise in scientific programming, Bayesian computational, software architecture, phylogenetic methods, and collaborative research software development. The position will also contribute to preliminary analyses for grant proposals, manuscripts, documentation, tutorials, conference presentations, and technical mentoring of graduate students, postdoctoral researchers, and collaborators.
Duties Include:
-
65% RESEARCH: Design, implement, test, document, and maintain scientific software for Bayesian and AI-based phylogenetic and evolutionary statistical learning. Develop models, algorithms, plugins, and computational tools in open-source research software platforms, including C++ and Java-based systems. Contribute to software architecture, code quality, performance, debugging, infrastructure testing, version control workflows, reproducibility, documentation, and long-term maintainability.
-
20% SERVICE, TRAINING & MENTORSHIP: Provide technical leadership, mentoring, and guidance to graduate students, postdoctoral researchers, and collaborators working on computational and software-related aspects of phylogenetic research. Train group members in scientific programming, C++, Java-based research software development, Bayesian computation, software design, version control, testing, debugging, documentation, code review, and collaborative open-source development. Help establish appropriate software development practices and standards for research projects.
-
15% SCIENTIFIC RESEARCH PLANNING & COMMUNICATION: Contribute to peer-reviewed publications, grant proposals, preliminary results for external funding applications, conference presentations, workshop materials, software documentation, tutorials, and other scholarly or community-facing research products.
Minimum Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 5 years experience.
Specific experience required:
-
Demonstrated record of independently designing, implementing, validating, and maintaining scientific, statistical, or computational research software;
-
Demonstrated expertise in Bayesian inference, phylogenetic methods, evolutionary modeling, statistical computation, or closely related computational methods;
-
Substantial programming experience in C++, Java, or comparable languages used in scientific software development.
Preferred Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 8 years experience.
Specific experience preferred:
-
Experience developing, maintaining, or making substantial contributions to open-source scientific software;
-
Experience developing Bayesian phylogenetic software such as BEAST, BEAST 2, RevBayes, MrBayes (or comparable scientific software platforms), MCMC methods, probabilistic models, and high-performance scientific computing methods;
-
Experience with collaborative software development practices, including version control, issue tracking, code review, testing, debugging, continuous integration, documentation, and software release workflows.
Job competencies:
-
Proficient in Programming in C++, Java, or comparable language used in scientific software development; Implementing and testing high-performance statistical inference algorithms in large software platforms; Documenting and maintaining large computational methods code bases, as well as releasing such methods to the user base; Developing methods, algorithms and models for use in evolutionary biology, with a focus on phylogenetic inference.
-
Advanced in Mentoring and providing technical support to graduate students and postdocs and Communicating results clearly in written (manuscripts) and oral form (talks).
Additional Job Description:
Special Instructions:
Please submit a current CV, 3 references with contact information. An official copy of your transcript with the highest degree will be needed prior to hire. For additional information, please contact Lori Bond at lbond3@lsu.edu.
Posting Date:
July 27, 2026
Closing Date (Open Until Filled if No Date Specified):
August 1, 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.
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:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.
Research Associate Job Roles in Louisiana
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Search Research Associate Jobs in LouisianaResearch Associate Jobs in Louisiana: Frequently Asked Questions
Which companies sponsor visas for research associates in Louisiana?
Major sponsors in Louisiana include LSU Health Sciences Center, Tulane University, the Pennington Biomedical Research Center, and large energy companies such as ExxonMobil and Shell with Louisiana-based research operations. Academic medical centers and federally funded research institutes tend to sponsor most consistently, as their grant structures often accommodate the cost and timeline of H-1B and J-1 visa sponsorship for research staff.
Which visa types are most common for research associate roles in Louisiana?
The J-1 Exchange Visitor visa and H-1B specialty occupation visa are the most common pathways for research associates in Louisiana. J-1 is frequently used for postdoctoral and university-affiliated research positions, often sponsored directly through host institutions. H-1B applies when the role requires at least a bachelor's degree in a specific field and the employer is willing to file a petition. Some positions at federal facilities may also involve OPT extensions for F-1 holders.
Which cities in Louisiana have the most research associate sponsorship jobs?
Baton Rouge and New Orleans account for the vast majority of research associate sponsorship activity in Louisiana. Baton Rouge is home to LSU, the Pennington Biomedical Research Center, and several petrochemical research operations. New Orleans hosts Tulane University, LSU Health Sciences Center, and a growing biomedical corridor. Lafayette sees some research activity tied to energy and environmental science, though at a smaller scale than the two main metros.
How to find research associate visa sponsorship jobs in Louisiana?
Migrate Mate is the most direct way to find research associate roles in Louisiana where employers are actively open to visa sponsorship. Because sponsorship willingness is rarely stated clearly in standard job postings, Migrate Mate filters specifically for positions where sponsorship is a known consideration, saving significant time for international candidates. Filtering by Louisiana and the research associate category surfaces relevant openings across academic, biomedical, and energy research employers in the state.
Are there state-specific considerations for research associates seeking sponsorship in Louisiana?
Louisiana's research sector is shaped heavily by its university system and energy industry, which affects sponsorship patterns. Academic and federally funded positions tend to follow established H-1B and J-1 processes with dedicated international scholar offices, making them more accessible for international candidates. Roles tied to petrochemical or environmental research may involve niche specializations, so ensuring your degree field closely matches the job description is important for specialty occupation eligibility under H-1B.
What is the prevailing wage for sponsored research associate jobs in Louisiana?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.