Deep Learning Data Scientist

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Job Title: Deep Learning Data Scientist
Location: Residence Based, Nationwide United States, USA
Company: Bayer
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed & Biotechnology
Job Type: Full Time
Salary: Competitive
Job Description:


At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where, Health for all, Hunger for none is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.


Deep Learning Data Scientist 




The primary responsibilities of this role, Deep Learning Data Scientist, are to: 


  • Be an active member of a highly interdisciplinary and cross-organizational team;
  • Stay current with the fast-paced innovation in machine learning applied to the analysis of biomolecules, with a focus on modelling the “language of life”;
  • Collaboratively develop a high-quality toolkit for data processing and machine learning of biomolecular data;
  • Come up with new ideas, own and pursue a research agenda to carry out long-running projects;
  • Conceive, execute and evaluate models and experiments, interpret the results and present them in various cross functional meetings;
  • Help other researchers use machine learning in their daily discovery activities;
  • Work in collaboration with peers located in the Pharmaceutical and Consumer Health Divisions;
  • Strengthen external visibility and scientific excellence through publishing, open source code and engaging with the scientific community.



Your success will be driven by your demonstration of our LIFE values.  More specifically related to this position, Bayer seeks an incumbent who possesses the following:


Required Qualifications:


  • Bachelor’s degree with at least five years of experience or Master’s degree with at least two years of experience or Ph.D.;
  • Educational preparation or applied experience in at least one of the following areas, Machine Learning, Electrical/Industrial Engineering, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline;
  • Profound experience with state-of-the-art advanced mathematical models, machine learning methods and model selection concepts;
  • Excellent programming and software engineering skills in Python;
  • Proficiency in writing code and experience in cloud computing;
  • Highly creative, independent, fast-learning person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks autonomously and in a timely fashion;
  • A sincere interest for biology and the life sciences;
  • Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams;
  • Willingness to travel between research sites domestically and globally;
  • Fluency in English, both written and spoken;
  • This role has a limited duration of 24 months.


Preferred Qualifications:


  • Previous experience with deep learning;
  • Knowledge of chemistry or biology;
  • PhD







Crop Science 





Reference Code:


To apply please click on APPLY TO THIS POSITION
Job Post Date: 10/14/21
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