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4 дня назад

Solutions Analyst (Healthcare)

6 400 - 9 600$
Тип работы
project
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solutions Analyst (Healthcare/RWD): Performing complex data analyses on Electronic Health Record data for life sciences partners with an accent on SQL, R, and Python. Focus on producing peer-reviewed publications, wrangling large-scale real-world data, and providing technical analytics support to customers.

Location: Seattle, WA. Must be authorized to work in the United States; no visa sponsorship provided.

Salary: $40–$60 per hour

Company

hirify.global is a health provider-led data platform focused on using EHR data to accelerate medical research and improve patient care.

What you will do

  • Scope customer analysis requests and produce results using SQL, R, and Python within agreed deadlines.
  • Collaborate with life sciences partners to develop and support peer-reviewed publications.
  • Write regex queries in Databricks SQL to extract specific clinical concepts from clinical notes.
  • Provide technical support and training to customers on data wrangling and analyzing RWD.
  • Create enablement materials to help onboard new researchers as the platform evolves.
  • Deliver customer feedback to internal teams to inform the product roadmap.

Requirements

  • Degree in clinical research, data analysis, clinical informatics, or a related field.
  • 3+ years of experience wrangling and analyzing Electronic Health Record (EHR) or Real World Data (RWD) using SQL, R, and Python.
  • Experience working with large databases containing millions of patients' records.
  • 2+ years of experience working directly with customers to deliver high-quality research analyses.
  • Must be authorized to work in the US (no visa sponsorship for F-1 OPT, H1-B, etc.).

Nice to have

  • Experience with Regex query writing.
  • Proficiency in statistics, regression, survival analyses, and Kaplan-Meier.
  • Experience with Spark or PySpark.
  • Knowledge of Propensity Score Matching.

Culture & Benefits

  • High-impact role working with an unprecedented volume of high-quality real-world EHR data.
  • Well-funded company with strong, established leadership.
  • Culture that prioritizes people, passion, and work-life balance.
  • Commitment to a diverse, inclusive, and empowering workplace.

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