Associate Director, Full Stack Data Scientist Job Details | Bayer AG

Bayer; Vaughan; Remote; CAD 194,000 - 293,000; Full time

Job summary

A leading pharmaceutical company is seeking an Associate Director, Full Stack Data Scientist to lead Data Science capabilities in R&D. This role involves managing analytics stacks, coordinating with cross-functional teams, and delivering innovative solutions. The ideal candidate will have a strong background in software development, proficiency in frontend and backend technologies, and a passion for digital transformation. Competitive benefits and a salary range of $141,790 to $212,685 are offered.

Benefits

Health care

Vision and dental benefits

Retirement plan

Paid time off

Sick leave

Qualifications

• Proficiency in frontend technologies.
• Strong experience with backend frameworks.
• Solid understanding of RESTful APIs and cloud platforms.

Responsibilities

• Design and maintain full stack applications.
• Collaborate with data scientists and engineers.
• Build user interfaces and backend systems.

Skills

React

Node.js

Python

AWS

SQL

Collaboration

Machine Learning

Education

MSc in statistics, mathematics, informatics, computer sciences, or similar

Tools

Docker

Kubernetes

D3.js

Job description

Overview

Associate Director, Full Stack Data Scientist

As an Associate Director, you will lead and deliver cross-functional Data Science capabilities as a Full Stack Data Scientist in support of R&D Data Science needs. Your role will involve coordinating necessary activities and being hands-on in delivering analytics stacks for R&D as part of the DSAI-DDRC team. You will manage the technology stack, including platforms, applications, integration tools, and analytics tools supporting R&D processes. Additionally, you will coordinate work with external analytics developers, guide product team members, and strategize, deliver, and execute tasks. Responsibilities include managing issue analysis, triage, planning, communication of timelines, and analytic tool delivery.

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.

Qualifications

• MSc in statistics, mathematics, informatics, computer sciences, ML Ops, Computer Engineering, or similar education;
• Proficiency in frontend technologies: React, Angular, or Vue.js;
• Strong experience with backend frameworks: 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);
• Ability to work in a collaborative, interdisciplinary team environment;
• Experience in GxP/CSV & IT project or business process design;
• Extensive experience in Data Science capability assessment and analysis;
• Preferred project management experience;
• Demonstrated ability to address and resolve conflicts; proven collaboration skills;
• Pharma and life sciences experience, 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 a cross-functional team;
• Passion for digital transformation, change, and a play-to-win attitude.

Location and Application

The incumbent for this position will be located in the US, UK or Germany. This posting will be available for application until 10/6/2025.

Compensation and Benefits

Employees can expect to be paid a salary between $141,790 to $212,685. 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.

#LI

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 with disabilities to request any needed accommodation(s) using the contact information below.

If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice.

Division: Pharmaceuticals  Reference Code 852197 Functional Area: Information Technology Location: US, UK or Germany Employment Type: Regular Position Grade: VS 1.3

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