6 дней назад
Co-Op, Biometrics (AI)
20 - 60$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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