Solutions Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Analyst (SQL/R/Python): Scope customer analysis requests and deliver research studies and results using large-scale Electronic Health Record (EHR) and Real World Data with an accent on SQL-based analytics, clinical concept extraction, and enabling life sciences partners. Focus on building cohorts, troubleshooting customer analyses, and translating customer needs into feedback that informs the product roadmap.
Location: Seattle, WA
Salary: $105,000–$130,000
Company
builds a health provider-led data platform that helps researchers and clinicians use real-world EHR data to improve patient care.
What you will do
- Scope customer analysis requests and produce studies and results within agreed deadlines using SQL, R, and Python.
- Collaborate with life sciences customers to support peer-reviewed publications and provide technical analytics support.
- Work directly with customers to wrangle and analyze data using SQL, R, and Python on Real World Data (RWD) to answer empirical research questions.
- Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer requests.
- Create enablement materials as the platform evolves and onboard new researchers to new capabilities.
- Investigate data sources with internal teams to demonstrate data veracity and feed customer-driven insights into the product roadmap.
Requirements
- Undergraduate or graduate education in clinical research, data analysis, clinical informatics, or a related field.
- Experience working with large databases containing millions of patients’ data.
- 3+ years of experience wrangling and analyzing Electronic Health Record (EHR) data or other Real World Data sources in life sciences companies, CROs, EHR data companies, or healthcare using SQL, R, and Python.
- 2+ years of experience working with life sciences customers to deliver high-quality research analyses.
- Ability to learn and adapt quickly in a dynamic startup environment, including learning new/internal proprietary coding languages to analyze data and build cohorts.
- Work authorization: must be authorized to work in the United States; cannot sponsor work visas or permits (e.g., F-1 OPT, H-1B).
Culture & Benefits
- Hybrid model with flexibility; in-person attendance required for two weeks during the year for Planning Week.
- Meeting hours optimized for the Pacific time zone; avoid recurring meetings starting after 3pm PT.
- Comprehensive medical, dental, and vision insurance plans, plus 401(k).
- Professional development and training opportunities.
- Flexible work hours and flexible paid time off, plus generous parental leave.
- Regular team activities (virtual and in-person).
Hiring process
- Application review followed by interviews to assess technical fit and customer-facing problem-solving.
- Evaluation of experience with EHR/Real World Data analytics and ability to deliver research analyses.
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