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Job Details:

+ **AI Model Training: Assemble data and fine-tune large language models and similar models focusing on biology and the life sciences.**

+ **Data Integration: Collaborate with interdisciplinary teams across R&D to gather, preprocess, and integrate diverse datasets from agriculture, environment, and genomics, ensuring data quality and relevance.**

+ **Protein Design: Leverage fine-tuned models to generate novel designs of native plant genes to improve target phenotypes.**

+ **Genomics Modeling: Incorporate genomics data on novel designs along with other data types (e.g. high-resolution genome assemblies, k-mers, skim-seq, gene expression, etc.) into AI models to predict performance in various populations, optimizing crop traits and resilience, enhancing overall agricultural productivity.**

+ **Collaboration: Work closely with scientists, biologists, IT professionals, and engineers to align AI initiatives with organizational goals and ensure effective implementation of models.**

+ **Trust Building: Engage with stakeholders to communicate the benefits and limitations of AI in agriculture, fostering trust and transparency in the technology.**

+ **Continuous Improvement: Stay updated on the latest advancements in AI and genomics, applying new techniques and methodologies to refine models and enhance their accuracy.**

+ **Documentation and Reporting: Prepare comprehensive documentation of methodologies, findings, and model performance, and present results to both technical and non-technical audiences.**

+ **Team Contribution: Actively participate in team meetings and collaborative projects, sharing knowledge and insights with other Machine Learning Researchers to drive innovation and improvement.**

Required Qualifications:

+ **PhD with 3+ years experience (including PhD) Educational preparation or applied experience in at least one of the following areas: Machine/Deep Learning, Bayesian Statistics, Uncertainty Quantification, Genomics, Computational Biology, Computer Science, Probability, Probabilistic modeling, Nonlinear Dynamics, Hierarchical models, Applied Mathematics, or other related quantitative discipline**

Salary and Other Compensation:

Applications will be accepted until Nov 13** **th** **, 2025.

The annual salary for this position is between $70,000 - $113,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance

• Paid holidays plus Paid Time Off

• 401(k) plan and contributions

• Long-term/Short-term Disability

• Paid Parental Leave

• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.