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7 часов назад

Senior HEOR Scientist

156 200 - 290 200$
Формат работы
remote (только USA)
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
Senior HEOR Scientist (Real-World Evidence/Healthcare Analytics): Leading end-to-end observational research and real-world evidence generation from complex healthcare datasets with an accent on causal inference, statistical modeling, and reproducible analytics. Focus on building scalable R/Python/SQL tools, applying responsible ML/AI, and translating rigorous findings into US market access and health policy insights.

Location: Full-time remote-eligible; candidates must be based in the United States. Primary location: South San Francisco, California.

Salary: $156,200–$290,200 annually, based on the primary South San Francisco location.

Company

hirify.global develops medicines and invests in research and development for serious and life-threatening diseases.

What you will do

  • Lead the design, execution, interpretation, and dissemination of retrospective observational studies and end-to-end real-world evidence generation.
  • Analyze insurance claims, electronic medical records, and patient registry data; develop research protocols and statistical analysis plans.
  • Apply causal inference, propensity score matching, regression modeling, and other advanced analytical methods.
  • Design and maintain reusable codebases, libraries, and web applications using R, Python, SQL, and related tools.
  • Modernize analytics through automation, workflow improvements, and responsible ML/AI methodologies.
  • Provide technical expertise, code reviews, quality assurance, and mentorship across internal and external initiatives.

Requirements

  • Bachelor’s degree with 5+ years of relevant applied analytics or economic modeling experience, or a Master’s degree or PhD in a quantitative or health-related discipline with 3+ years of relevant experience.
  • Experience designing and conducting observational research and real-world evidence analytics using claims, EHR, or patient registry datasets.
  • Advanced proficiency developing high-quality, reproducible deliverables with R, Python, or SQL.
  • Strong foundation in observational study design, advanced statistical methods, and quantitative data validation.
  • Ability to work autonomously with minimal supervision, manage multiple concurrent deliverables, and maintain rigorous scientific attention to detail.
  • Exceptional written and verbal communication skills, including the ability to explain technical methodologies and complex findings to non-technical stakeholders.

Nice to have

  • Experience translating strategic business needs into analytical designs and technical solutions with cross-functional stakeholders.
  • Familiarity with scalable analytics, including cloud, containers, workflow orchestration, CI/CD, and QA automation, and/or responsible ML/AI use.
  • Experience with economic modeling in Excel, VBA, or R, including documentation and sensitivity analysis.
  • Publication or external communication experience, such as posters, manuscripts, or methods talks, and/or contributions to internal communities of practice.

Culture & Benefits

  • Full-time regular employment with a remote-eligible arrangement for candidates throughout the United States.
  • Annual discretionary bonus may be available based on individual and company performance.
  • Benefits are provided as detailed in the linked benefits information.
  • Relocation benefits are not approved for this posting.
  • Equal employment opportunity and applicant accommodation support are provided.

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