Associate Dir, Full Stack Data Scientist

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

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 Bayers Pharmaceutical division. You will coordinate the activities that are needed and be hands- on in delivery of 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.

Additionally you will coordinate the work conducted by external analytics developers and process capability stack operations providing expert guidance to product team members to strategize deliver and execute on enablement tasks. This includes managing issue analysis proper triage and issue assignments and planning/communication of timelines and deployments in support of R&D DSAI.

The primary location for this role can be either Cambridge MA or Whippany NJ. Remote work arrangements will not be accommodated for this role.

YOUR TASKS AND RESPONSIBILITIES:

• Accountable to ensure the entire DS capabilitiesstack 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:

Required Qualifications:

• Minimum of a Masters Degree in Statistics Mathematics Informatics Computer Sciences ML Ops Computer Engineering or similar education;
• Proficiency in frontend technologies: such as React Angular or and AI enablement solutions such as Cursor;
• Strong experience with backend frameworks: like 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 ( 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 play to win mentality; .

Preferred Qualifications:

• Project management experience is preferred.

Employees can expect to be paid a salary between $131600.00 - $197400.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care vision dental retirement PTO sick leave etc.

This salary range is merely an estimate and may vary based on an applicants location market data/ranges an applicants skills and prior relevant experience certain degrees and certifications and other relevant factors.

This posting will be available for application until at least 7/13/2026.

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