Associate Director, Full Stack Data Scientist

Position Overview

As an Associate Director, Full Stack Data Scientist, you will lead and deliver cross-functional Data Science capabilities for R&D as part of the DSAI-DDRC team. You will manage the technology stack—including platforms, applications, integration tools, and analytics tools—and coordinate activities with external analytics developers while guiding product team members. You will also strategize, execute tasks, and ensure timely delivery of analytic tools.

Location: US, UK or Germany. This position is a Regular Employment Role in the Pharmaceuticals Division.

Key Responsibilities

• 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.
• Coordinate work conducted by external analytics developers.
• Provide expert guidance to product team members for strategy, delivery, and execution.
• Manage issue analysis, triage, and assignment; plan and communicate timelines and deployments.

Required Qualifications

• MSc in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops, Computer Engineering, or a related field.
• Proficiency in frontend technologies such as React, Angular, or Vue.js.
• Strong experience with backend frameworks including 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: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
• Experience in GxP/CSV & IT project or business process design.
• Extensive experience in Data Science capability assessment and analysis.
• Ability to work collaboratively in an interdisciplinary team environment.

Preferred Qualifications

• Project management experience.
• Demonstrated ability to address and resolve conflicts.
• Proven collaboration skills and leadership through influence in cross-functional teams.
• Pharma and life sciences experience along with security and compliance expertise.
• Exposure to machine learning workflows or experience integrating ML models into applications.
• Experience with data visualization libraries such as D3.js or Plotly.
• Understanding of MLOps or model deployment practices.
• Background in scientific computing, data engineering, or experimental software development.
• Passion for digital transformation and a play-to-win attitude.

Benefits & Perks

• Compensation: Salary between $141,790 to $212,685, with potential for bonus or commission.
• Health care coverage.
• Vision and dental benefits.
• Retirement plans.
• Paid Time Off (PTO) and sick leave.