Veeva Systems
SaaS • Healthcare Insurance • Pharmaceuticals
Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.
Senior Data Scientist – OpenData
Job not on LinkedIn
October 9
🍂 Massachusetts – Remote
💵 $150k - $185k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
Veeva Systems
SaaS • Healthcare Insurance • Pharmaceuticals
Veeva Systems is a cloud-computing company focused on the global life sciences industry. It provides software, data, and consulting services to streamline research and development, quality management, regulatory operations, and commercial processes. Veeva's solutions encompass clinical trials, regulatory submissions, drug safety management, and commercial execution to support life sciences enterprises in their mission to improve and extend life.
📋 Description
• Lead critical projects that contribute to the underlying OpenData reference and affiliation data assets by leveraging your advanced data science programming and analytics skills • Leverage your deep domain knowledge in how providers and facilities are identified, tracked, and represented in data to infuse OpenData with the most accurate possible representation of location and relationship • Partner with the OpenData Engineering team to create a scaled web scraping framework that enables Veeva OpenData to track providers and facilities • Collaborate with internal stakeholders across Veeva’s product portfolio to assist with interoperability between OpenData and other products • Maintain detailed documentation of all developments that are incorporated into the Veeva OpenData pipeline
🎯 Requirements
• 10+ years of data science experience within life sciences, specifically in data integration, data management, and advanced analytics applied to RWE data • Ability to use PySpark to code against large datasets. Jupyter Labs experience and AWS knowledge are essential • Excellent verbal and written communication skills, with the ability to clearly convey technical information to non-technical stakeholders • Strong analytical skills with the ability to quickly identify issues and work collaboratively to develop solutions
🏖️ Benefits
• Medical, dental, vision, and basic life insurance • Flexible PTO and company paid holidays • Retirement programs • 1% charitable giving program
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