Veeva Systems is looking to solve the problem of improving the accuracy and comprehensiveness of their Reference Data product, OpenData, which is crucial for life sciences companies to bring therapies to patients faster. This involves enhancing data curation, identifying and resolving discrepancies, and ensuring interoperability with other Veeva products.
Requirements
- Ability to use PySpark to code against large datasets.
- Jupyter Labs experience
- AWS knowledge are essential
- 10+ years of data science experience within life sciences, specifically in data integration, data management, and advanced analytics applied to RWE data
- Experience in the Life Sciences industry is a plus, especially with respect to commercial data systems, RWE, provider and facility reference and affiliation data
Responsibilities
- 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. Veeva OpenData collaborates with Veeva Compass to ensure that claims analytics are correctly mapped to reference and affiliation data
- Maintain detailed documentation of all developments that are incorporated into the Veeva OpenData pipeline
Other
- 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
- Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
