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2 часа назад

RWE Analytics Specialist (AI)

148 500 - 214 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
RWE Analytics Specialist (AI): Implementing real-world evidence analyses and studies using administrative claims, electronic health records, and other secondary patient data with an accent on observational research, epidemiology, statistical programming, and pharmaceutical analytics. Focus on assessing study feasibility, developing algorithms and statistical models, guiding data analysts, and communicating results through tables, dashboards, and slide decks.

Location: Cambridge, MA, United States; available to US and Puerto Rico residents only.

Salary: $148,500–$214,500 annually.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines for immune challenges, rare diseases, cancers, and neurological conditions.

What you will do

  • Oversee implementation of real-world evidence analyses and studies and provide senior support and direction to data analysts.
  • Assess feasibility across administrative claims, electronic health records, and other secondary data sources.
  • Conduct exploratory analyses, visualize outputs, and support study feasibility and design decisions.
  • Characterize disease epidemiology, disease burden, and pre-specified outcomes using descriptive and comparative study designs.
  • Develop statistical analysis plans, table shells, algorithms such as oncology lines of therapy, and models including regression and time-to-event analyses.
  • Report findings through study tables, dashboards, or slide decks and communicate results to stakeholders.

Requirements

  • BA/BS with 5 years of relevant experience, or MS/PhD with 4 years of relevant experience.
  • Academic training in mathematics, statistics or biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field.
  • Experience programming in R, Python, and SQL.
  • Working knowledge of statistical methods and experience applying epidemiological methods.
  • Experience analyzing multiple sources of secondary patient data, including electronic medical records and administrative claims.
  • Experience leading observational research studies and analyses using secondary data.
  • Experience in the pharmaceutical industry and guiding more junior team members through analysis implementation.
  • Excellent written and verbal communication, collaboration, and interpersonal skills, including the ability to explain technical details to non-expert audiences.

Culture & Benefits

  • Supportive, future-focused environment with opportunities for promotion or lateral career development.
  • Rewards package and employee benefit programs.
  • Healthcare, prevention, and wellness benefits.
  • At least 14 weeks of gender-neutral parental leave.
  • Equal opportunity employment in a culturally inclusive workforce.

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