Data Scientist
Data Scientist
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
A successful candidate will help our clients deliver results through the use of the Clients Evidence Platform. To do this a successful candidate will support answering client questions regarding study implementation using the clients evidence platform and the science behind the platform as well as contribute to client research studies.
A successful candidate will support team members with the development and maintenance of internal and client-facing resources for adoption and use of the clients evidence platform.
A successful candidate will also support the development and maintenance of the clients scientific assets such as study templates and a definition library of clinical conditions. Additionally a candidate will engage with members of the Science Product and Engineering teams to identify and fill gaps in knowledge and in the process indirectly aid clients in developing high-quality real-world data evidence using the clients evidence platform.
Requirements
- Professional fluency with English - writing and speaking
- Ability to work US ET business hours (8 PM - 5 AM PST for 8 months 9 PM - 6 AM PST for 4 months due to Daylight Savings) with the possibility of periodic EU hours (3 PM - 12 AM PST) after demonstrating proficiency and reliability.
- Experience with Microsoft/Google Suite (e.g. pivot tables and filters in spreadsheets)
- Attention to detail
- Problem-solving critical thinking skills a ability to Juggle and prioritize competing tasks
- Proactive and inquisitive (e.g. asking questions learning new skills/ technology/software)
Nice to have:
- Experience with customer interaction/service/support
- Experience with technical software user support
- Strong documentation/note-taking
- Team player
- Self-driven and independent
- Experience with cross-functional interactions
Benefits
- HMO with 1 free dependent upon hire
- Life Insurance
- 20 PTO credits annually
- Night Differential
- VL and SL cash conversion
- Annual Performance-Based Merit Increases and Employee Recognition
- Great Company Culture
- Career Growth and Learning
- A laptop will be provided by the company
- Night Shift
- Work-from-home after onsite training
Employment Type
Full-Time
