Associate Dir, Full Stack Data Scientist

Merck & Co.; Whippany (NJ); On-site; USD 131,600 - 197,400; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement

PTO

Sick leave

Job summary

Merck & Co. is seeking an Associate Director, Full Stack Data Scientist to lead data science capabilities for R&D in Whippany, NJ. This role focuses on full-stack application development and collaboration with data scientists to create production-ready tools, facilitating comprehensive analytics.

The ideal candidate has a Master's in a relevant field and proficiency in modern development frameworks and data visualization libraries. Salary ranges from $131,600 to $197,400 with benefits including healthcare and PTO.

Qualifications

• Minimum of a Master’s Degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops, Computer Engineering, or similar.
• Strong experience with backend frameworks like Node.js, Python (Flask, FastAPI, Django), or Java.
• Extensive experience in Data Science capability assessment and analysis.

Responsibilities

• Lead and deliver cross‑functional Data Science capabilities.
• Design, develop, and maintain full‑stack applications for R&D initiatives.
• Collaborate with data scientists to translate research prototypes into production‑ready tools.

Skills

Frontend technologies (React, Angular, Vue.js)

Backend frameworks (Node.js, Python, Java)

RESTful APIs and GraphQL

Cloud platforms (AWS, GCP, Azure)

Containerization (Docker, Kubernetes)

Database systems (SQL, NoSQL)

Data visualization libraries (D3.js, Plotly)

MLOps practices

Education

Master's Degree in Statistics, Mathematics, Computer Science, or related field

Job description

Associate Dir, Full Stack Data Scientist

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.

Responsibilities

• 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.

Who You Are

Required Qualifications

• 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.

Preferred Qualifications

• 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: [e-mail]

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