6 дней назад
Intern, Biometrics (AI)
20 - 60$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern, Biometrics (AI): Developing and evaluating AI-enabled capabilities for clinical data analysis, statistical programming, and regulated biomedical research with an accent on LLMs, agentic workflows, and clinical data integration. Focus on building RAG and tool-calling systems, evaluating and post-training models, and creating scalable, traceable AI pipelines for clinical development.
Location: Cambridge, Massachusetts, United States; full-time summer internship from June 7, 2027 to August 20, 2027. The working model is 70% in-office and 30% flexible.
Salary: $20.00–$60.00 per hour.
Company
develops mRNA technology and medicines, combining biomedical research with data and AI capabilities.
What you will do
- Develop and evaluate AI/ML and agentic solutions for clinical data analysis, statistical programming, and workflow automation.
- Build RAG, tool-calling, skill-based agent architectures, and modular AI pipelines integrating clinical, statistical, and translational datasets.
- Explore LLM adaptation, post-training, evaluation, and optimization for statistical and clinical research use cases.
- Design traceable and reproducible agentic workflows with human oversight for regulated clinical development environments.
- Create interactive visualizations, dashboards, analytical applications, and reusable computational tools.
- Collaborate with statisticians, statistical programmers, data scientists, and scientists to translate clinical needs into practical technical solutions.
Requirements
- Must be eligible to work with U.S. export-controlled information as a U.S. person; non-U.S. persons are not eligible for this position.
- Master's, doctoral, or advanced undergraduate 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 coding experience required; R experience preferred.
- Experience or demonstrated interest in GenAI, LLMs, machine learning, agentic systems, model post-training, or AI application development.
- Strong analytical thinking, engineering mindset, communication skills, and ability to work across disciplines.
Nice to have
- Cloud computing, containerization, backend development, APIs, SQL, RAG, model evaluation, or AI deployment experience.
- Experience developing data visualizations, dashboards, analytical applications, or reusable computational tools.
- Interest in practical, reliable, and scalable AI solutions for clinical or biomedical research.
Culture & Benefits
- In-person collaboration model with direct mentorship and cross-disciplinary teamwork.
- Free premium access to meditation and mindfulness classes.
- Subsidized commuter benefits.
- Paid vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown.
- Location-specific perks and extras.
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