Associate Dir, Full Stack Data Scientist

PURPOSE

The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in support of R&D Data Science needs for Bayer's Pharmaceutical division. You will coordinate the activities that are needed and be hands-on in delivering analytics stacks for R&D as part of the DSAI-DDRC team. The technology stack includes platforms, applications, integration tools, and analytics tools supporting processes within R&D.

YOUR TASKS AND RESPONSIBILITIES

• Accountable to ensure the entire DS capabilities stack for the assigned process, and tasks are effective, efficient, and meeting business operational needs;
• Hands-on development of capabilities as required by the initiatives, mission leads, and product owners and other DSAI accountable parties;
• Identify business technology developments in the industry early on and actively promote them within the organization;
• Responsible for providing conceptual guidance to team members in appropriately designing certain capabilities as required to support the DSAI Analytics strategy;
• Ensure assigned business process area technology needs are met by interfacing and collaborating with the R&D functions; preparing and supporting delivery of DS capabilities and roadmaps in close collaboration with Head of DDRC and DSAI sub-clusters;
• Accountable to ensure process area capability issues are assessed upstream and downstream, communicated, coordinated, and resolved promptly;
• Design, develop, and maintain full stack applications to support R&D initiatives;
• Collaborate with data scientists, ML engineers, and domain experts to translate research prototypes into production-ready tools;
• Build intuitive user interfaces and robust backend systems for data visualization, model interaction, and experimentation;
• Develop APIs and microservices to integrate with internal platforms and external data sources;
• Optimize performance, scalability, and reliability of R&D tools and applications;
• Participate in architectural discussions and contribute to technical strategy for R&D software infrastructure;
• Rapidly prototype new ideas and iterate based on feedback from researchers and stakeholders.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

• Minimum of a Master’s Degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops, Computer Engineering, or similar education;
• Proficiency in frontend technologies: such as React, Angular, or Vue.js, and AI enablement solutions such as Cursor;
• Strong experience with backend frameworks: like Node.js, Python (Flask, FastAPI, Django), or Java;
• Solid understanding of RESTful APIs, GraphQL, and WebSockets;
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes);
• Familiarity with CI/CD pipelines, Git, and agile development practices;
• Knowledge of database systems: such as SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis);
• Ability to work in a collaborative, interdisciplinary team environment;
• Experienced in GxP/CSV & IT project and/or business process design;
• Extensive experience in Data Science capability assessment and analysis;
• Demonstrated ability to address and resolve conflicts; proven collaboration skills;
• Pharma and life sciences domain experience;
• Applicable security and compliance experience;
• Exposure to machine learning workflows or experience integrating ML models into applications;
• Experience with data visualization libraries (D3.js, Plotly, etc.);
• Understanding of MLOps or model deployment practices;
• Background in scientific computing, data engineering, or experimental software development;
• Demonstrated ability to lead through influence working in a cross-functional team, building relationships with engineering teams and business stakeholders;
• Passion for digital transformation, change in general, and a play-to-win mentality.

COMPENSATION AND BENEFITS

Employees can expect to be paid a salary between $131,600.00 - $197,400.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

Equal Opportunity Employer Statement

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Contact Us

Email: hrop_usa@bayer.com