6 дней назад
Applied AI Workflow Clinical Scientist
139 100 - 231 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Workflow Clinical Scientist (LLMs/Agentic AI and Clinical Omics): Building reusable AI workflows that accelerate clinical development and translational science with an accent on clinical execution, workflow automation, and high-dimensional omics data. Focus on designing fit-for-purpose AI tools, evaluating grounded outputs in regulated environments, and connecting biomarker, endpoint, and patient-stratification analyses to development decisions.
Location: Cambridge, Massachusetts, United States; hybrid work with on-site attendance an average of 2.5 days per week
Annual base salary: $139,100–$231,900, plus a 17.5% bonus target and eligibility for a share-based long-term incentive program.
Company
is a pharmaceutical company developing medicines through clinical, scientific, and translational research.
What you will do
- Identify high-value, repeatable use cases for LLMs, agentic AI, and workflow automation across inflammation and immunology clinical development.
- Design, build, and refine reusable AI tools for study design, feasibility, trial conduct, clinical data review, and regulatory readiness.
- Partner with clinical scientists, clinical operations, biostatistics, translational teams, and computational biologists to translate workflow needs into adopted solutions.
- Evaluate AI outputs for scientific rigor, document limitations, establish guardrails, and apply human oversight for regulated and GCP-governed data.
- Extend clinical execution workflows into clinical omics and translational data analysis, including biomarker, endpoint, and patient-stratification work.
- Improve AI fluency among scientific collaborators by demonstrating practical workflows and explaining implementation trade-offs.
Requirements
- PhD with at least 1 year of experience, Master’s degree with at least 5 years of experience, or Bachelor’s degree with at least 6 years of experience in a relevant clinical, life-science, computational-biology, or quantitative field.
- Direct experience in clinical development, clinical science, clinical operations, clinical data review, or regulatory science, with a strong understanding of GCP, clinical trial conduct, and drug development.
- Experience with omics or other high-dimensional data from clinical or translational studies, including biomarker or endpoint work, patient stratification, or mechanistic analysis.
- Recent hands-on experience applying LLMs, agentic AI, or workflow automation in scientific work, including building reusable workflows.
- Strong collaboration, communication, judgment, and ability to influence without formal authority.
- Must be authorized to work in the United States by any employer and hold permanent U.S. work authorization; visa sponsorship is not available.
Nice to have
- Python or similar coding experience for prototyping, automation, and reviewing engineering work.
- Experience in inflammation and immunology or an adjacent therapeutic area.
- Experience with single-cell, spatial, proteomic, or other high-dimensional clinical platforms.
- Experience with retrieval-augmented approaches, agentic orchestration, prompt and program design, workflow automation, or multimodal AI systems.
- Experience with FDA or EMA interactions, regulated AI deployment, technology partners, vendors, or academic collaborators.
Culture & Benefits
- Hybrid work arrangement with regular collaboration from the Cambridge work site.
- Participation in ’s Global Performance Plan and share-based long-term incentive program.
- 401(k) plan with matching contributions and an additional retirement savings contribution.
- Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
- Medical, prescription drug, dental, and vision coverage.
- Relocation assistance may be available based on business needs and eligibility.
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