Description

Job Description:-

Responsibilities

1. Overall Experience should be between 6-11 years
2. Design, develop, and deploy AI-driven solutions to solve complex project challenges
3. Develop and maintain backend systems using FastAPI for robust data processing pipelines
4. Develop automations utilizing Robotic Process Automation
5. Collaborate with cross-functional teams including clinical scientists, IT, and business stakeholders
6. Lead multiple concurrent projects while maintaining exceptional quality standards
7. Translate complex technical concepts into accessible insights for non-technical stakeholders
8. Stay current with emerging AI technologies and methodologies relevant to pharmaceutical research
9. Independently design and develop business technology solutions to answer scientific or business questions through integration, visualization, and analysis of data. Demonstrate proficiency across a range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets.
10. Demonstrate knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions
11. Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.

Qualifications

1. Master's degree in Computer Science, Data Science, or related technical field or 3 years of experience
2. Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts
3. Hands-on experience using large language models and machine learning algorithms
4. Strong programming skills in Python with emphasis on data science libraries
5. Backend development experience using FastAPI
6. Experience with Robotic Process Automation and associated Python packages
7. Experience building applications on AWS infrastructure
8. Excellent written and oral communication skills.
9. Proven ability to manage multiple projects simultaneously

Key Skills

Education

Any Graduate