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Job Posting Title:

IT Consultant - Machine Learning & Artificial Intelligence

Position Type:

Professional / Unclassified

Department:

LSUAM ORED - CCT - Scientific Computing (Michal Brylinski (00004691))

Work Location:

2054 Digital Media Center

Pay Grade:

Professional

Job Description:

The Center for Computation and Technology at Louisiana State University is seeking a highly motivated and talented researcher specializing in Machine Learning (ML) and Artificial Intelligence (AI) to join our multidisciplinary research team. This role offers a unique opportunity to contribute to cutting-edge biomedical research while also developing innovative ML and AI methodologies. The successful candidate will collaborate with leading researchers in biomedicine, applying ML and AI technologies to fields such as drug discovery, cancer research, genomics, and proteomics. In addition, the candidate will be encouraged to pursue independent research focused on advancing ML and AI technologies, particularly those that address challenges within the biomedical domain.

Job Responsibilities:

Collaborative Research: Work closely with biomedical research teams to design, implement, and optimize ML/AI models tailored to their specific needs. Contribute to projects in areas such as, but not limited to drug discovery and design using predictive models, cancer research with a focus on precision medicine, genomics and proteomics data analysis for biomarker discovery and pathway analysis, integration of multi-omics data to gain insights into complex biological systems. Provide ML/AI expertise in experimental design, data analysis, and interpretation of results. (45%)

Independent Research: Develop novel ML/AI algorithms, frameworks, or architectures that address emerging challenges in biomedicine. Explore and publish on topics such as, but not limited to explainability and interpretability of ML models in biomedical research, transfer learning and domain adaptation for scarce biomedical datasets, scalable algorithms for processing high-dimensional omics data, development of generative models for simulating biological processes. (30%)

Outreach and Training: Collaborate with interdisciplinary teams, bridging the gap between computer science and life sciences. Mentor students, interns, or junior researchers in ML/AI methodologies. Contribute to workshops, seminars, and collaborative grant-writing efforts. (10%)

Publication and Dissemination: Publish high-impact papers in top-tier ML/AI and biomedical journals and conferences. Present findings at academic and professional conferences, fostering visibility for the research center. (10%)

Other duties as assigned (5%)

Minimum Qualifications:

Master's degree in Computer Science, Data Science, Computational Biology, or a closely related field with a strong emphasis on ML/AI and 2+ years of experience.

Have proven experience in applying ML/AI to biomedical or life science data, such as genomics, proteomics, or clinical datasets. Experience in ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Strong programming skills in Python, R, or equivalent languages.

Excellent problem-solving skills, with the ability to analyze and interpret complex data. A track record of peer-reviewed publications in relevant journals or conferences. Strong communication and collaboration skills for interdisciplinary teamwork.

Preferred Qualifications:

Ph.D. in Computer Science, Data Science, Computational Biology, or a closely related field with a strong emphasis on ML/AI and 2+ years of experience.

Experience in one or more of the following: deep learning architectures (e.g., transformers, graph neural networks), reinforcement learning or unsupervised learning in biological contexts, omics data integration or high-throughput screening data analysis, natural language processing applied to biomedical literature or electronic health records, demonstrated ability to secure research funding or contribute to grant proposals, familiarity with high-performance computing or cloud-based ML/AI workflows.

Additional Job Description:

Special Instructions:

Please provide a cover letter, resume, and three (3) professional references including name, title, phone number, and e-mail address.

Please attach ALL required documents under the "Resume/CV" section of your application.

A copy of your transcript(s) may be attached to your application (if available).

Due to the nature of the position and/or position responsibilities this position shall be subject to pre-employment screenings as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).


For questions or concerns about 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 Samantha Jarreau at samanthajarreau@lsu.edu.

Posting Date:

February 19, 2025

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

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):

N

LSU is an Equal Opportunity Employer and SAME Agency:

LSU is designated as a State As a Model Employer (SAME) agency and provides assistance to persons needing accommodations or with the accessibility of materials. For those seeking such accommodations or assistance related to this search, we encourage you to contact the Office of Human Resource Management (hr@lsu.edu).

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.