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.

Sr Data Science Analyst

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Sr Data Science Analyst, are to:

Maximize the use of large-scaled genotype and workflow data to support high-throughput DNA genotyping workflows

Develop and implement automated data ingestion pipelines, data analyses, automated notifications/applications, and visualization solutions with minimal supervision to drive tactical and operational decisions using a variety of tools such as R, R-Shiny, Spotfire, and SQL

Support analytics and dashboard troubleshooting, enhancements, and updates

Collaborate with production team members to assess needs and recommend experiments and projects and suggest new analytics and visualization development

Drive high-throughput DNA genotyping process optimization by leveraging complex datasets to create mathematical/statistical models that predict lab process health and prescribe appropriate remediation actions. •Form partnerships with cross functional teams in the company, including internal research and development, engineering and IT teams and managing the bidirectional flow of global-ready data and dashboards; •Provide technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;

Demonstrate full autonomy in developing relationships for effective cross-functional collaboration throughout multiple organizations and partners on work stream initiatives for Data Science Community;

Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

Bachelor’s degree with 2+ years of experience

Educational preparation or applied experience in at least one of the following areas: Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Mathematics, Data Science, Computer Science or other related quantitative discipline.

Experience in data science including familiarity with R/Python, R Shiny, SQL/PostgreSQL, APIs, Spotfire, and Github;

Strong proficiency in computational skills.

Capability to perform autonomously in a fast-paced working environment and to direct and work on parallel tasks that may have competing priorities; •Willingness and capability to anticipate, identify and address the needs of customers and stakeholders.

Excellent collaboration, communication, and interpersonal skills.

A proven track record of solving challenging and complex problems, as well as a strong commitment to achieving results.

Challenge the status quo and encourage diversity of thought, and embraces change as an opportunity to drive improvement and efficiency processes and data quality;

Extensive experience in successful delivery of valuable analysis through application of domain knowledge.

Ability to manage a larger more diverse and complex project/program.

Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to broad audiences and key stakeholders across multiple functions.

Preferred

Master’s degree.

Knowledge in genotyping labs and/or genomics data handling

Demonstrates strong proficiency in R and/or Python programming skills, writing SQL queries, version control, and level of experience in building data pipelines and visualization applications/tools

Some familiarity with AWS cloud services

This position can be located in Chesterfield, MO or Ankeny, IA

Domestic Relocation and Sponsorship may be available for this position.

#LI-US

Location:

Crop Science

Division:

Crop Science

Reference Code:

833793

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