Full Stack Data Engineer Jobs in New York, NY (NOW HIRING)

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. The role coordinates activities and is hands‑on in the delivery of analytics stacks for R&D as part of the DSAI‑DDRC team, including platform, application, integration and analytics tools. The primary location is either Cambridge, MA or Whippany, NJ; remote work is not accommodated.

• Accountable for ensuring the entire DS capabilities stack for the assigned process is effective, efficient, and meets business and operational needs.
• Hands‑on development of capabilities as required by initiatives, mission leads, product owners, and other DSAI accountable parties.
• Identify emerging business technology developments and promote them within the organization.
• Provide conceptual guidance to team members for designing capabilities that support the DSAI Analytics strategy.
• Ensure business process area technology needs are met by interfacing with R&D functions and support delivery of DS capabilities and roadmaps with Head of DDRC and DSAI sub‑clusters.
• Assess, communicate, coordinate, and resolve process area capability issues 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.

• Minimum of a Master’s Degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops, Computer Engineering, or similar.
• 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.
• Experience 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 and to collaborate effectively.
• 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 in cross‑functional teams, building relationships with engineering teams and business stakeholders.
• Passion for digital transformation and a win‑mindset.

• Project management experience.

Employees can expect a salary between $131,600.00 – $197,400.00. Additional compensation may include a bonus or commission. Benefits include health care, vision, dental, retirement, PTO, and sick leave.

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

To all recruitment agencies: Bayer does not accept unsolicited third‑party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants to request accommodations.

Location: United States: Massachusetts: Cambridge || United States: New Jersey: Whippany

Division: Pharmaceuticals

Reference Code: 874629

Contact Us Email: hrop_usa@bayer.com

Bayer is an E‑Verify Employer. View the full E‑O‑E statement in our recruitment portal.