Назад
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6 дней назад

Co-Op, Biometrics (AI)

20 - 60$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
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
Co-Op, Biometrics (AI) (Clinical Data and AI): Developing and evaluating AI-enabled solutions for clinical data analysis, statistical programming, and workflow automation with an accent on LLMs, agentic systems, statistical modeling, and regulated clinical research. Focus on building RAG and tool-calling workflows, scalable data pipelines, model evaluation, and reproducible AI applications for clinical development.

Location: Cambridge, Massachusetts, United States; co-op term from January 18, 2027 through June 25, 2027; 70% in-office work model.

Salary: $20.00–$60.00 per hour.

Company

hirify.global develops an mRNA technology platform and medicines, combining biotechnology, clinical research, and data-driven innovation.

What you will do

  • Develop and evaluate AI/ML and agentic solutions for clinical data analysis, statistical programming, and workflow automation.
  • Build LLM-enabled workflows using tool calling, retrieval-augmented generation, domain-specific agents, and workflow orchestration.
  • Explore model post-training, adaptation, evaluation, and optimization for statistical and clinical research applications.
  • Design scalable AI pipelines integrating clinical, statistical, and translational datasets.
  • Develop interactive visualizations, dashboards, analytical applications, and reusable computational tools.
  • Collaborate with statisticians, statistical programmers, data scientists, and scientists to support clinical development workflows and documentation.

Requirements

  • Must be available for the complete co-op term from January 18, 2027 through June 25, 2027.
  • Advanced undergraduate, master’s, or doctoral student in statistics, biostatistics, computational biology, health informatics, data science, computer science, or a related quantitative discipline.
  • Strong statistical knowledge and quantitative skills applied to scientific and clinical problems.
  • Python programming experience is required. Experience with R, cloud computing, containerization, backend development, and SQL is valuable.
  • Experience or demonstrated interest in GenAI, LLMs, machine learning, agentic systems, model post-training, or AI application development.
  • U.S. export-control access requirements apply; only U.S. persons can access controlled information without an export license.

Nice to have

  • Experience with RAG, APIs, model evaluation, AI deployment, dashboards, data visualization, or analytical applications.
  • Interest in reliable, scalable AI solutions for clinical or biomedical research.
  • Strong analytical thinking, engineering mindset, curiosity, and cross-disciplinary communication skills.

Culture & Benefits

  • In-person collaboration supported through a 70/30 office-based work model.
  • Paid time off including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown.
  • Subsidized commuter benefits and location-specific perks.
  • Premium access to meditation and mindfulness classes.
  • Smoke-free, alcohol-free, and drug-free work environment.

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