# Associate Dir, Full Stack Data Scientist

**Company**: Bayer
**Location**: Whippany, New Jersey
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $131,600.00 - $197,400.00
**Category**: IT
**Industry**: Healthcare
**Wikidata**: https://www.wikidata.org/wiki/Q152051

**Apply**: https://talent.bayer.com/careers/job/562949977874039?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bf4f8159-918

## Description

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.

The Associate Director, Full Stack Data Scientist will 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.

**Responsibilities:**

- Ensure the entire DS capabilities stack for the assigned process and tasks are effective, efficient, and meeting business operational needs

- Hands-on development of capabilities as required by the initiatives, mission leads, and product owners and other DSAI accountable parties

- Identify business technology developments in the industry early on and actively promote them within the organization

- Provide conceptual guidance to team members in designing certain capabilities as required to support the DSAI Analytics strategy

- Ensure assigned business process area technology needs are met by interfacing and collaborating with the R&D functions

- 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

**Requirements:**

- Master's degree in Statistics, Mathematics, Informatics, Computer Sciences, ML Ops, Computer Engineering, or similar education

- Proficiency in frontend technologies: React, Angular, or Vue.js, and AI enablement solutions such as Cursor

- 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

- 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

**Preferred Qualifications:**

- Project management experience

**Salary:** $131,600.00 - $197,400.00

**Benefits:** health care, vision, dental, retirement, PTO, sick leave, etc.

## Skills

### Required
- React
- Angular
- Vue.js
- Node.js
- Python
- Java
- RESTful APIs
- GraphQL
- WebSockets
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- CI/CD pipelines
- Git
- agile development practices
- PostgreSQL
- MySQL
- MongoDB
- Redis

### Nice to have
- project management

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949977874039?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)