19 часов назад
Clinical Contracts Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Clinical Contracts Manager (AI) (Clinical Trials and Vendor Contracting): Managing vendor outsourcing, MSAs, CTAs, clinical trial budgets, and contract lifecycle activities with an accent on oncology and rare disease programs, CRO operations, and GCP/FDA compliance. Focus on negotiating complex agreements, controlling scope and financial risk, and evaluating AI tools for contract management and operational efficiency.
Location: Cambridge, MA, United States; hybrid work with attendance at the office 3 days per week
Company
applies frontier AI, machine learning, and drug design models to accelerate scientific discovery and develop medicines.
What you will do
- Manage clinical outsourcing and vendor activities across assigned therapeutic and functional areas.
- Lead RFI and RFP processes, evaluate supplier proposals and budgets, conduct bid defense meetings, and recommend vendors.
- Negotiate and execute vendor agreements, MSAs, CTAs, investigator budgets, change orders, and related financial terms.
- Partner with Clinical Operations, CROs, Finance, Legal, Data Management, and other stakeholders to align timelines, quality, budgets, and trial execution.
- Monitor vendor performance, study progress, deliverables, resource allocation, and financial reconciliation through study closeout.
- Identify contractual risks, manage scope changes, support governance and escalation, and assess AI tools for contract lifecycle management.
Requirements
- Bachelor’s degree; Healthcare, Science, or Finance preferred.
- At least 5 years of experience in clinical outsourcing, contracting, procurement, or finance within pharmaceutical, biopharma, CRO, or clinical research environments.
- In-depth knowledge of clinical trial execution, CRO outsourcing models, and GCP/FDA regulatory guidelines.
- Required experience in oncology and/or rare disease.
- Strong contract negotiation, budget management, project management, analytical, and problem-solving skills.
- Ability to work in a hybrid model and attend the Cambridge office 3 days per week.
Culture & Benefits
- Collaborative, interdisciplinary environment spanning drug discovery, biology, and machine learning.
- Values emphasize thoughtful science, initiative and integrity, determination, and cross-functional collaboration.
- Learning is shared and employees are supported in developing and contributing to meaningful scientific work.
- Commitment to equal employment opportunities and workplace accommodations.
- Hybrid working model designed to support knowledge sharing and strong working relationships.
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