OneStudyTeam-posted 3 months ago
Senior
101-250 employees

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care. One mission. One team. That’s OneStudyTeam. By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We’re looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care.

  • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
  • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
  • Help expand our AI knowledge base architecture to support innovative solutions.
  • Leverage modern cloud tools and MLOps best practices 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 our platform.
  • Continuously learn and innovate, staying up-to-date with the latest developments in ML/AI and proactively bringing new ideas to the team.
  • 5+ years of hands-on experience building and deploying machine learning solutions in production at scale.
  • Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch).
  • Experience with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks.
  • Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker.
  • Strong understanding of machine learning fundamentals and statistical modeling.
  • Familiarity with NLP and large language models.
  • Experience with functional programming (e.g. Clojure).
  • Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift.
  • Diversity and inclusion initiatives.
  • Remote work flexibility.
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