Sr Data Science Analyst

Bayer - Chesterfield, MO

Full-time

Chesterfield, MO

Professional, Scientific, and Technical Services

About the position

The Sr Data Science Analyst role at Bayer focuses on maximizing the use of large-scale genotype and workflow data to enhance high-throughput DNA genotyping processes. The position involves developing automated data ingestion pipelines, conducting data analyses, and creating visualization solutions to support operational decisions. The analyst will collaborate with cross-functional teams to optimize processes and present findings to various stakeholders, driving strategic and operational changes within the organization.

Responsibilities

• 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.
• Support analytics and dashboard troubleshooting, enhancements, and updates.
• Collaborate with production team members to assess needs and recommend experiments and projects, suggesting 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, including internal research and development, engineering, and IT teams, managing the bidirectional flow of global-ready data and dashboards.
• Provide technical contributions in a fast-paced team environment to accelerate 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 the organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business.

Requirements

• Bachelor's degree with 2+ years of experience in 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 embrace 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.

Nice-to-haves

• 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.

Benefits

• Domestic Relocation and Sponsorship may be available for this position.