Description

You will design, develop, test, and deploy efficient and scalable AI/ML solutions for life sciences data and analytics.

Responsibilities

• Design and build data and analytical insights using company datasets, focusing on Translational Research and CMC.
• Create Python scripts and algorithms to clean, transform, and extract data from multiple sources for the Data Science Team.
• Liaise with data scientists and data engineers to implement data-driven AI/ML solutions for drug discovery analytics.
• Conduct regular code reviews with data engineers and data scientists.
• Coordinate sprint planning and release management with the Director of Data Science.

Required Skills

• 3-5 years of experience designing and building AI solutions.
• Expert knowledge of SQL with the proven ability to author and optimize complex queries.
• High competency using data science tools such as AWS SageMaker AI/ML and Jupyter notebooks.
• Experience implementing and using managed data services: AWS Athena, AWS Glue, Amazon S3, AWS RDS, and Amazon EMR.
• Python programming expertise with experience using data analysis libraries such as Pandas and PySpark.
• Experience working with large clinical real-world evidence datasets in parquet or JSON formats.
• Relational and non-relational database experience with the ability to model and optimize data structures.
• Experience with distributed data processing and management systems.
• Management of GitHub code repositories.

Key Skills

Education

Any Graduate