Senior Machine Learning Engineer

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🕒 July 28

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Paradigm Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 $203M Series A on 2023-02

Healthcare • Pharmaceuticals • SaaS

Paradigm Health is a clinical research company that re-engineers clinical trials around patient care by combining technology and services to support sponsors and research sites. Their platform and offerings include real-time protocol optimization, feasibility and site selection, patient identification and enrollment acceleration, trial data collection and delivery, and post-approval/late-stage evidence solutions. Paradigm integrates directly with health provider organizations to streamline collaboration, improve enrollment outcomes, and reduce operational burden on research teams. The company positions itself as a bridge between providers and sponsors to make clinical research more efficient, patient-centric, and scalable.

📋 Description

• Lead the development, testing, and deployment of ML models and pipelines • Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations • 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 enhance model performance • Mentor junior ML engineers and contribute to team knowledge-sharing

🎯 Requirements

• 5+ years of experience as a machine learning engineer • 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

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events