AI Developer - Python Automation for Life Sciences R&D

As an I&F Decision Sci Practitioner Analyst at Accenture, you will be part of the Life Sciences R&D vertical, where you will contribute to automating research and development processes to increase efficiency and innovation. Your primary responsibilities will include:

• Develop and maintain AI-driven applications using Python.
• Design, build, and integrate Python APIs for various use cases.
• Work with VS Code and other development tools to write, test, and debug code.
• Explore and implement Agentic AI approaches for autonomous workflows and intelligent agents.
• Collaborate with cross-functional teams to design scalable solutions.
• Troubleshoot and optimize performance of deployed applications.
• Leverage agentic AI to rapidly build and iterate applications using vibe coding.

Qualifications Required:

• BE/BTech/MCA
• 3 to 5 years of experience

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. With over 784,000 employees serving clients in more than 120 countries, we embrace change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com.

In this role, you will be part of the team focusing on R&D Automation Enablement Operations, which aims to automate research and development processes to speed up activities, reduce manual work, and improve accuracy. Your tasks will involve developing automation tools, integrating them into workflows, and maintaining these systems.

Python software development will be a key aspect of your role, involving creating software applications, programs, or systems using the Python programming language. Therefore, strong proficiency in Python programming, experience with VS Code or similar IDEs, knowledge of Python APIs, Agentic AI frameworks, deployment processes, and Agentic AI concepts will be essential for success in this position. Familiarity with software development best practices such as version control, testing, and debugging will also be advantageous. As an I&F Decision Sci Practitioner Analyst at Accenture, you will be part of the Life Sciences R&D vertical, where you will contribute to automating research and development processes to increase efficiency and innovation. Your primary responsibilities will include:

• Develop and maintain AI-driven applications using Python.
• Design, build, and integrate Python APIs for various use cases.
• Work with VS Code and other development tools to write, test, and debug code.
• Explore and implement Agentic AI approaches for autonomous workflows and intelligent agents.
• Collaborate with cross-functional teams to design scalable solutions.
• Troubleshoot and optimize performance of deployed applications.
• Leverage agentic AI to rapidly build and iterate applications using vibe coding.

Qualifications Required:

• BE/BTech/MCA
• 3 to 5 years of experience

Accenture is a global professional services company with leading capabilities in digital, cloud, and security. With over 784,000 employees serving clients in more than 120 countries, we embrace change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at www.accenture.com.

In this role, you will be part of the team focusing on R&D Automation Enablement Operations, which aims to automate research and development processes to speed up activities, reduce manual work, and improve accuracy. Your tasks will involve developing automation tools, integrating them into workflows, and maintaining these systems.

Python software development will be a key aspect of your role, involving creating software applications, programs, or systems using the Python programming language. Therefore, strong proficiency in Python programming, experience with VS Code or similar IDEs, knowledge of Python APIs, Agentic AI frameworks, deployment processes, and Agentic AI concepts will be essential for success in this position. Familiarity with software development best practices such as version control, testing, and debugging will also be advantageous.