Senior Scientist-Lead Scientist for AI-Enabled Bioinformatics and Computational Biology Full Time

JR-10510 JOB SUMMARY

JOB DUTIES:

10% - Communicate scientific findings and report program performance. Prepare quarterly and annual reports, model-performance summaries, decision-support dashboards, data visualizations, technical presentations, standard operating procedures, software documentation, and progress updates for project leadership, collaborators, funding organizations, and other stakeholders. Monitor and report key performance indicators such as AI prediction accuracy, target-validation rate, model generalizability, data and pipeline throughput, construct success, and the performance of computationally selected events and trait stacks. Lead or contribute to peer-reviewed manuscripts, conference presentations, invention disclosures, grant proposals, data releases, and open-source software or analytical resources, as appropriate, while clearly communicating model assumptions, limitations, uncertainty, and reproducibility. Other duties as assigned. 30% - Lead AI-enabled gene-target and pathway discovery. Mine, integrate, and interpret public and private biological datasets, including cotton and comparative plant genomes, pangenomes, transcriptomes, proteomes, metabolomes, genetic variation, functional annotations, phenotypes, environmental data, and scientific literature. Apply gene-network inference, feature attribution, association and causal-inference methods, comparative genomics, and multi-trait ranking to identify and prioritize genes, regulatory nodes, biochemical pathways, enzyme variants, and trait stacks associated with fiber development and quality, pigment biosynthesis, stress resilience, nutrient and water-use efficiency, plant architecture, carbon allocation, and pest resistance. Document the biological rationale, confidence level, potential trade-offs, off-target effects, and recommended validation experiments for each candidate. 25% - Develop, validate, and operationalize advanced computational models and pipelines. Design and implement machine-learning, deep-learning, foundation-model, protein- and sequence-modeling, metabolic-network, and predictive-genomics approaches that support gene discovery, pathway optimization, construct design, and phenotype prediction. Develop digital design-of-experiments and multi-objective optimization methods that prioritize the smallest, most informative sets of edits and constructs while considering biological feasibility, fiber performance, agronomic outcomes, and sustainability metrics. Benchmark models using independent or held-out data; evaluate accuracy, calibration, uncertainty, generalizability, interpretability, and bias; track computational predictions through experimental validation; and deploy reproducible workflows using version control, workflow managers, containers, high-performance computing, or cloud resources. 20% - Translate computational findings into cross-functional research decisions. Serve as the lead bioinformatics and computational-biology resource for the Plant Molecular Biology and DNA Engineering, Plant Transformation and Tissue Culture, greenhouse, phenotyping, fiber and materials testing, sustainability, and field-validation teams. Convert prioritized genes and pathways into construct specifications, guide edit and construct selection, advise on experimental design and statistical analysis, define data-collection requirements, and interpret molecular, transformation, plant-development, phenotype, metabolite, fiber, and agronomic results. Lead computational reviews within the design-build-test-learn cycle, use experimental outcomes to refine models and candidate rankings, communicate risks and decision criteria, and provide technical direction and mentoring to scientists, students, analysts, and collaborators using bioinformatics tools and data products. 15% - Coordinate cross-functional program execution and construct delivery. Partner closely with Plant Tissue Culture and Transformation, AI and bioinformatics, greenhouse, phenotyping, fiber-testing, and program teams to translate research objectives into fit-for-purpose constructs and executable development plans. Coordinate schedules, technical handoffs, and priorities; optimize construct-to-plant outcomes; and ensure the timely delivery of materials and data supporting programmable fiber, climate-resilience, resource-efficiency, and other plant biotechnology programs.

JOB CODE

UK09

EMPLOYEE TYPE:

Temporary Grant (TGP) Staff A Ph. D. and relevant program experience.

RESPONSIBILITIES

JOB

KNOWLEDGE

Comprehensive knowledge of theories, concepts and practices and ability to use in complex, difficult and/or unprecedented situations.

SUPERVISORY RESPONSIBILITIES

Supervises work of others and may offer recommendations for hiring, termination and pay adjustments but does not have responsibility for making these decisions.

BUDGETARY RESPONSIBILITIES

Provides input into the budgeting process, and manages fund allocation.

PHYSICAL REQUIREMENTS

Perceive, observe, clarity of vision: % Recognize or inspect visually: % Extends hands or arms in any direction: % Communicate, converse, give direction, express oneself: % Walk or move about: %

WORKING CONDITIONS

None:

%

WORK SCHEDULE

Standard Hours:

37.5 COMPENSATION

INFORMATION

Expected Salary Range 80000 - 90000 Salary is dependent upon several factors including, but not limited to, a candidate's previous experience, knowledge, skills and performance in accordance with Clemson's compensation guidelines.

ESSENTIAL PERSONNEL LEVEL

Normal Operations - Required to follow emergency facility closure and modified operations directives, and not normally expected to work on-site during emergency situations.

JOB LOCATION

Clemson, SC

APPLICATION DEADLINE

August 24, 2026 MILITARY

AND VETERAN

Military Equivalency :

Clemson University is proud to allow educational equivalency for military technical certifications and trainings that directly relate to the job duties.

Veteran Preference:

South Carolina provides employment preference to eligible veterans for qualifying full-time permanent positions. To be considered, applicants must meet the minimum qualifications, have been discharged under honorable conditions, and indicate their veteran status in the application by uploading a DD-214 for confidential review. A request for Veteran Preference can be made via the application process. Please contact hrjob@clemson.edu with any questions or issues.

CLOSING STATEMENT

Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status. To apply, visit https://clemson.wd12.myworkdayjobs.com/en-US/Clemson_Careers/job/-/Senior-Scientist-Lead-Scientist-for-AI-Enabled-Bioinformatics-and-Computational-Biology_

JR-10510

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