Genome Editing Data Scientist

5 days ago


Chesterfield, Missouri, United States Bayer Full time

Company Overview:

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Bayer is a leading international enterprise with core businesses in the fields of healthcare and agriculture. At Bayer, we're driven to solve the world's toughest challenges and make a real difference.

We're a company that values diversity, innovation, and collaboration. Our team is passionate about advancing science for a better life.

Salary:$120,000 - $150,000 per year

Job Description:

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  • Main Responsibilities:
  • Develop state-of-the-art AI-assisted genetic discovery tools to uncover novel genetics with optimal phenotypic performance by leveraging various functional genomic datasets for building advanced mathematical models and theoretically proven concepts of machine learning, Bayesian optimization, and/or graph theory;
  • Train and analyze AI techniques on industry's most extensive global agriculture dataset (i.e., genetic and phenotypic data) in the world, including highly controlled and real-world data;
  • Identify how complex genetic interactions lead to observed phenotypes using advanced statistical methods and/or AI methodologies in an efficient and interpretable manner and determine whether these insights lead to better design and predictions for our current and future intelligent pipelines that will integrate natural variation and gene edits;
  • Investigate the efficacy of gene regulatory networks to establish an interpretable representation tool for realizing new trait experiments and gene editing targets in corn and soy;
  • Collaborate regularly, acquiring support and partnership from cross-functional scientific, engineering, and IT teams across the company;

Required Skills and Qualifications:

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  • Education: Master's degree or higher in a related field (e.g., computer science, statistics, computational biology, plant genomics);
  • Experience: Minimum 4 years of experience in a relevant field, with expertise in at least one of the following areas: machine/deep learning, Bayesian statistics, uncertainty quantification, plant genomics, computational biology, computer science, probability, probabilistic modeling, nonlinear dynamics, hierarchical models, applied mathematics, or other related quantitative disciplines;
  • Skills: Strong programming skills in languages such as Python, R, or SQL; experience with cloud services like AWS; excellent communication and teamwork skills;

Benefits:

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  • A competitive salary range of $120,000 - $150,000 per year;
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off;
  • Ongoing training and professional development opportunities;
  • The chance to work with a talented and diverse team of scientists and engineers;
  • A dynamic and supportive work environment that encourages innovation and creativity;

Location:Chesterfield, Missouri, USA



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