aiqapythonsqlrmachine learningcausal inferencehealthcare analyticsreal world evidenceobservational research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$156к-290к/год
$160к$180кмедиана$210к
По похожим ролям (49) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.2к - $4.7к)
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Крутая вакансия
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Чётко описанная senior-позиция в крупной биотех-компании сочетает исследования реальных медицинских данных, развитие аналитических инструментов и влияние на решения в сфере здравоохранения.
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Понятные задачиСовременный стекВлияние на медицинуУдалённо по США
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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