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Lead a remote team of researchers responsible for gathering data on key people in the life sciences industry. Implement quality and efficiency projects, enhance team performance, and collaborate with engineering teams to improve processes. Drive a positive team culture while ensuring compliance and quality standards are met.

Lead and develop a remote team of around 40 researchers to identify data related to key people in the life sciences industry. Implement quality and efficiency projects, drive process improvements, collaborate with engineering teams, and foster a positive team culture.

As a Senior Data Scientist specializing in NLP, you will develop language model-based agents for extracting and analyzing KOL data from unstructured medical documents. Your role includes building and implementing end-to-end data extraction pipelines and collaborating with teams to ensure data quality.

As a Senior Data Scientist, you will develop LLM-based agents to extract information about Key Opinion Leaders in healthcare. Your responsibilities include building end-to-end pipelines to analyze multilingual unstructured data and collaborating with teams to set extraction standards. You will apply advanced NLP techniques to enhance data retrieval and quality evaluation.

As a Senior QA Engineer at Veeva, you will be responsible for building the QA framework for the Data Platform. Your tasks will include creating test cases for ETL components, writing SQL queries, automating test cases, and ensuring data accuracy and completeness in the healthcare ecosystem.

As a Senior QA Engineer for Veeva's Data Platform, you'll lead the development of the QA framework and oversee end-to-end quality assurance. Your responsibilities will include creating test cases for ETL applications, automating tests, analyzing data accuracy and completeness, and ensuring compliance with business rules while collaborating in an Agile environment.

As a Senior QA Engineer in Opendata at Veeva Systems, you will build the QA framework for the Data Platform. Your responsibilities will include creating test cases for ETL components, analyzing ETL documents, automating tests, and ensuring data accuracy and completeness while working in an Agile environment.