About
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. 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 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. 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 play to win mentality. Project management experience is preferred. 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. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's 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.
Languages
- English
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