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2 дня назад

Research Scientist, Clinical Innovation & Trend Analytics

78 400 - 107 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Research Scientist, Clinical Innovation & Trend Analytics (Healthcare Analytics): Conducting epidemiological research and outcomes studies on complex medical, pharmacy, and lab claims data with an accent on clinical trend analysis, program evaluation, and actionable insights. Focus on designing randomized and quasi-experimental studies, building analytical datasets with SQL, SAS, and Python, and translating results into clinical strategy.

Location: Remote nationwide within the United States; occasional travel to hirify.global offices for training or meetings may be required.

Salary: $78,400–$107,800 per year, plus eligibility for a bonus incentive plan.

Company

hirify.global is a U.S. healthcare and insurance company serving Medicare, Medicaid, individual, family, military, and community populations through hirify.global and CenterWell services.

What you will do

  • Conduct exploratory analyses of populations, trends, and clinical conditions to identify opportunities to improve clinical outcomes and reduce trend-related costs.
  • Collaborate with clinicians and clinical informaticists to define clinical concepts and extract information from medical, pharmacy, and laboratory claims.
  • Apply descriptive, epidemiological, experimental, and quasi-experimental analytical methods.
  • Design outcomes studies and evaluate programs using randomized controlled trials, propensity matching, difference-in-difference models, and related methods.
  • Conduct literature reviews and intervention research to assess engagement rates and treatment effects.
  • Build datasets, analytical variables, visualizations, and statistical models in SQL, SAS, and Python, then communicate actionable findings to business partners.

Requirements

  • Master’s degree in Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Engineering, or a related quantitative discipline.
  • At least 2 years of experience creating datasets and analytical variables from large, complex data environments using SQL, SAS, and Python.
  • At least 2 years of experience applying research methods to transform complex, high-volume data into actionable insights.
  • Experience with experimental and quasi-experimental methods, including randomized controlled trials, propensity matching, or difference-in-difference models.
  • Experience collaborating within multidisciplinary teams, delivering quality analytical work, and clearly communicating results and insights to business partners.
  • Ability to make research-method decisions independently, including in ambiguous situations with general guidance.
  • For home-based work, a dedicated workspace without ongoing interruptions is required to protect member PHI and HIPAA information.
  • Home internet must provide at least 25 Mbps download and 10 Mbps upload speed.

Nice to have

  • Healthcare or managed care experience.
  • Experience with medical, pharmacy, and laboratory claims.
  • Familiarity with clinical concepts across a broad range of conditions and disease states.
  • Familiarity with hypothesis testing, statistical methods, comparative effectiveness studies, and modeling techniques.
  • Experience with PySpark, Databricks, Microsoft Azure, or Power BI.
  • Strong interest in healthcare and improving health outcomes.

Culture & Benefits

  • Full-time employment with a 40-hour scheduled work week.
  • Remote work with occasional office travel for training or meetings.
  • Benefits include medical, dental, and vision coverage; 401(k); paid time off and holidays; parental and caregiver leave; disability coverage; and life insurance.
  • This role is not eligible for work visa sponsorship.

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