Genome Design Data Scientist

Key Skills

Algorithms, Biostatistics, Data science techniques, Machine learning techniques, Python Programming, R Programming, Statistical modeling

Job Description

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Genome Design Data Scientist, are to:

• Foster new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models;
• Work on a team as an individual contributor with other Genome Design Data Scientists;
• Demonstrate autonomy in building relationships and networks within the current function, may require guidance to expand networks cross functionally, and interact most often with Data Scientists within the organization and peer business partners;
• Act as an active member in the Data Science community to build personal acumen and ability while sharing best practices with others;
• Collaborate and acquire support from cross functional scientific, engineering and IT teams;
• Provide technical contributions in a fast paced team environment to accelerate our efforts in building a future proof product pipeline;
• Independently perform statistical analysis, computer programming, predictive modeling and experimental design;
• Use advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations and solutions;
• Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact and key performance indicators;
• Conduct routine literature research on cutting edge data science and genomics topics and bring ideas and implement improvements to our existing projects.

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:

• Master's degree with 2 years of industrial experience or a Ph.D. (graduating Ph.D. student in their last year would also be considered);
• Educational preparation or applied experience in at least one of the following areas: Genomics, Computational Biology, Machine Learning, Operation Research, Statistical Genetics, Statistics, Biostatistics, Bioinformatics, Applied Mathematics, Computer Science, or another related quantitative discipline;
• Demonstrate proficiency in computational skills and level of experience building data models using Python, R, or other statistical and mathematical programming packages;
• Strong domain knowledge and understanding of genomics, comparative genomics, pan genomics, and other cutting edge genomic technics;
• Proficiency in machine learning algorithms and concepts is strongly desired;
• Experience in successfully delivering valuable analysis through domain knowledge and effective collaborations;
• Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and action able manner to the extended team and small groups of key stakeholder.

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.

IMPORTANT NOTE for POTENTIAL US CANDIDATES: Bayer expects its colleagues to be fully vaccinated against COVID-19. Bayer defines fully vaccinated in alignment with CDC which is two weeks after completing the two-dose vaccine regimen or two weeks after completing the one-dose regimen. Additionally, Bayer colleagues are also required to comply with state, local and customer requirements.

Location:

United States : Missouri : Chesterfield

Division:Crop Science

Reference Code:786191

Contact Us

Email:hrop_usa@bayer.com