Senior AI Researcher - St. Louis, MO Onsite

Job Title - Senior AI Researcher

Pay Rate - $70-$75/hr

Location St. Louis, MO

The primary responsibilities of this role, Senior AI Researcher, are to:

• 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.

• 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.

Customer seeks an incumbent who possesses the following:

Required Qualifications:

PhD with 5+ 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