Gilead is looking to solve clinical development challenges by adopting AI/ML and transforming clinical trials, enhancing data-driven decision-making, and providing support for Real-World Evidence (RWE), Clinical Pharmacology, and Biomarkers initiatives.
Requirements
- Advanced Model Development & Operationalization: Deep expertise in developing, deploying, and managing complex machine learning and deep learning algorithms at scale.
- Data & Computational Proficiency: Fluent in Python or R and SQL, with hands-on experience in building and optimizing data pipelines for analytical and model development purposes.
- Cloud-Native AI/ML: Demonstrated experience with Cloud DevOps on AWS as it pertains to the entire data science lifecycle.
- Translational Research: Proven ability to translate foundational AI/ML research into functional, production-ready packages and applications.
- Experience with code management using Git.
- Strong technical documentation skills.
- Ability to translate stakeholder needs into clear technical requirements.
Responsibilities
- Innovate and Strategize: Spearhead the strategic vision for leveraging AI/ML within clinical development.
- Lead with Expertise: Guide the full lifecycle of machine learning models from initial concept to real-world application.
- Mentor and Empower: Act as a force multiplier for our data science team.
- Translate and Execute: Serve as a bridge between technical teams and business stakeholders.
- Drive Breakthroughs: Research and develop cutting-edge algorithms to solve critical challenges.
- Build the Foundation: Design and implement the technical and process building blocks needed to scale our AI/ML capabilities.
- Influence and Advise: Interface directly with internal stakeholders, acting as a trusted advisor to help them understand the potential of advanced analytics.
Other
- Doctorate and 5+ years of relevant experience OR Master’s and 8+ years of relevant experience OR Bachelor’s and 10+ years of relevant experience
- Ability to translate stakeholder needs into clear technical requirements
- Skill in scoping project requirements and developing timelines
- Knowledge of product management principles
- Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location
