Deep Learning Data Scientist

Bayer
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Job Description

The compatibility of family and career is important to us. We support flexible working time models and the option of working from home.

This position is a two year temporary assignment as a Bayer employee.

  • 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.
  • Ability to conceive, execute and evaluate models and experiments, interpret the results and present them in various cross functional meetings;
  • Develop a high-quality toolkit for data processing and machine learning of biomolecular data;
  • Work in collaboration with peers located in the Pharmaceutical Divisions;
  • Demonstrates a moderate level of autonomy in building relationships and networks within current function, may require guidance to expand networks cross-functionally, interacts most often with Data Scientists within organization and peer business partners;
  • Strengthen external visibility and scientific excellence through publishing, open source code, and engaging with the scientific community.

WHO YOU ARE

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:

  • Doctor of Philosophy (PhD) or Master of Science (M.Sc) with four years of working experience) in Computer Sciences, Computational Chemistry, Computational Biology, Physics or related fields;
  • 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;
  • Excellent programming and software engineering skills in Python are essential;

Preferred qualifications:

  • Profound experience with state-of-the-art advanced mathematical models, machine learning methods and model selection concepts; previous experience with deep learning would be of advantage;
  • A sincere interest for biology and the life sciences (knowledge of chemistry or biology would be an advantage)

Entirely remote jobs that could be performed in Colorado: employees can expect to be paid a salary of approximately $120000 (or between $100000 to $135000). Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Company Info.

Bayer

Bayer AG is a German multinational pharmaceutical and life sciences company and one of the largest pharmaceutical companies in the world. Headquartered in Leverkusen, Bayer's areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products. The company is a component of the Euro Stoxx 50 stock market index.

  • Industry
    Healthcare
  • No. of Employees
    99,538
  • Location
    Leverkusen, North Rhine-Westphalia, Germany
  • Website
  • Jobs Posted

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