[Hiring] Senior Machine Learning Engineer @Paradigm Health
Apr 04, 2025 - Paradigm Health is hiring a remote Senior Machine Learning Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: USA.
Role Description
As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying sophisticated ML models, including GenAI and LLM-based solutions, that optimize clinical trial workflows and patient engagement. This position offers an opportunity to impact healthcare by developing state-of-the-art models that enhance trial design, accelerate patient recruitment, and improve overall trial efficiency. You will contribute to both high-level architecture decisions and hands-on implementation, driving the technology forward and influencing ML strategies across Paradigm.
- Lead the development, testing, and deployment of ML models and pipelines, with a focus on scalability and integration into production systems.
- Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations, from data gathering to real-time performance monitoring.
- Partner with clinicians, informaticists, data scientists, and engineers to build solutions aligned with Paradigm’s mission and goals.
- Drive improvements in model deployment infrastructure, develop monitoring tools, and refine model performance to ensure robust production-level reliability.
- Mentor junior ML engineers, contributing to team knowledge-sharing and establishing best practices for data science and machine learning.
- Present complex technical insights and results to both technical and non-technical stakeholders, advocating for data science-driven strategies that align with business objectives.
Qualifications
- Master’s or PhD in computer science, statistics, machine learning, or a related field.
- 5+ years of experience as a machine learning engineer, with a proven track record in healthcare, life sciences, or a related field.
- Deep expertise in training, fine-tuning, and deploying ML models, including experience with GenAI/LLMs.
- Proficiency in Python, SQL, and familiarity with cloud infrastructure and ML engineering best practices.
- Experience managing production-level pipelines, including model deployment, monitoring, and continuous integration.
- Advanced analytical skills and a collaborative approach to solving complex challenges across teams.
- Adaptability and experience in fast-paced, mission-driven environments with high levels of ambiguity.
Requirements
- Background in working with oncology or clinical trial data.
- Hands-on experience developing and deploying GenAI/LLM-based models and open-source frameworks for LLM applications.
- Previous involvement in an early-stage startup, ideally in health tech or life sciences, with a passion for high-growth projects.
Benefits
- Equal employment opportunities to all qualified individuals.
- Encouragement and welcome to candidates from all backgrounds and perspectives.
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
đź’¸
unspecified
|
Remote
Location
USA
|
|
Job Type
unspecified
|
Posted
Apr 04, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
