Senior Machine Learning Engineer

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September 9

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OneStudyTeam

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Healthcare Insurance • Biotechnology • Pharmaceuticals

OneStudyTeam is a company that provides the StudyTeam platform, a cloud-based solution designed to facilitate the clinical trial process for research sites and sponsors. The platform enhances patient enrollment management by streamlining site workflows and offering real-time insights into recruitment and enrollment data. Used globally by over 10,000 research sites and trusted by leading biopharmaceutical sponsors, OneStudyTeam aims to improve the efficiency of clinical trials and reduce the burden on research sites.

201 - 500 employees

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

📋 Description

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. • Develop advanced ML models and LLM-powered agents for use cases like patient recruitment, enrollment forecasting, and study feasibility. • Expand AI knowledge base architecture to support innovative ML/LLM solutions. • Leverage modern cloud tools and MLOps best practices (Python, dbt, Prefect, AWS Athena/Bedrock/SageMaker, Docker, CI/CD, monitoring) to build robust data pipelines and deploy models at scale. • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the StudyTeam platform (including Care Access products). • Continuously learn, experiment with cutting-edge techniques, and turn promising prototypes into production features that drive the mission forward.

🎯 Requirements

• 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. • Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications. • Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch). • Comfortable working with large datasets and writing complex SQL queries. • Experience with cloud services (AWS: Athena, Bedrock, SageMaker, etc.) and containerization tools like Docker. • Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift. • Familiarity with NLP and large language models (LLMs). • Experience with functional programming (e.g. Clojure) is a plus but not required. • Strong understanding of machine learning fundamentals and statistical/probabilistic modeling. • Analytical problem-solving skills and ability to balance pragmatic engineering with scientific rigor. • Mission-driven with empathy for patients, clinicians, and researchers. • Must abide by all organizational security and privacy policies as a condition of employment. • OneStudyTeam is unable to sponsor work visas at this time (work authorization requirement).

🏖️ Benefits

• USA Remote (remote work)