YOUR TASKS AND RESPONSIBILITIES

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

• Use advanced mathematical models, machine learning algorithms or operations research techniques, and strong business acumen to deliver high-throughput DNA genotyping workflow insight, recommendations, and solutions;
• Have primary or shared project responsibility of a complex nature;
• Drive high-throughput DNA genotyping optimization by leveraging complex datasets to create models that predict lab process health and prescribe appropriate remediation actions;
• Form partnerships with cross-functional teams in Bayer (Breeding, Product Supply, IT) to drive optimization of complex workflows that span functions and countries;
• Solve complex problems requiring original thinking and deductive reasoning and the application of scientific principles to the design and interpretation of scientific experiments;
• Lead workflow optimization and method validation projects using multiple data sources;
• Use specialized knowledge, the broad application of scientific principles, current literature when identifying and implementing process improvements;
• 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;
• Achieve commitment to safety and adherence to safety protocols and best practices;
• Thrive on meeting challenges, insist on high quality deliverables, demonstrate effective problem-solving skills, and possess the ability to build productive external and internal relationships;
• Design and analyze the results of experiments independently;
• Perform a variety of experiments;
• Develop sustainable, consumable, accurate, and impactful reporting on models to drive optimization of Precision Genomics and genotyping partner workflows;
• Communicate and interpret the results of experiments, production Key Performance Indicators (KPIs), and cost/benefit analysis to partners and key stakeholders;
• Take initiative in keeping current with literature in areas of assignment and in areas of professional interest.

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:

• Bachelor’s degree with at least two years of experience or master’s degree;
• 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;
• Demonstrate basic computational skills and level of experience using R, Python, or other statistical and/or mathematical programming languages;
• Entry level proficiency in predictive modeling — to include comprehension of theory, modeling/identification strategies, and limitations and pitfalls;
• Entry level proficiency in machine learning algorithms and concepts;
• Experience using Shiny, Spotfire, Tableau, Jupyter Notebooks, or other reporting solutions;
• Experience with web APIs and relational databases (PostgreSQL, Oracle, MS SQL Server, or similar).