Paradigm Health

Paradigm Health

Senior Machine Learning Engineer

US-Remote · Senior

Sponsorship not specifiedDetected 85 days ago
PythonSQLCloud PlatformsMachine LearningData ScienceLLMsStatisticsClinical TrialsClinical ResearchResearchLeadershipCommunicationCollaborationProblem SolvingMentoringAdaptability

About the role

  • Paradigm Health is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients.
  • You will contribute to both high-level architecture decisions and hands-on implementation, driving the technology forward and influencing ML strategies across Paradigm.
  • We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions.

Responsibilities

  • Model Development & Deployment: Lead the development, testing, and deployment of ML models and pipelines, with a focus on scalability and integration into production systems.
  • Advanced GenAI/LLM Applications: Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations, from data gathering to real-time performance monitoring.
  • Cross-Functional Collaboration: Partner with clinicians, informaticists, data scientists, and engineers to build solutions aligned with Paradigm's mission and goals.
  • Infrastructure & Performance Optimization: Drive improvements in model deployment infrastructure, develop monitoring tools, and refine model performance to ensure robust production-level reliability.
  • 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.
  • Our team hails from a broad range of disciplines and is committed to the company's mission to create equitable access to clinical trials for any patient, anywhere.
  • Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission.

Requirements

  • Technical Skills: Deep expertise in training, fine-tuning, and deploying ML models, including experience with GenAI/LLMs.
  • Production-Level ML Expertise: Experience managing production-level pipelines, including model deployment, monitoring, and continuous integration.
  • GenAI/LLM Proficiency: Hands-on experience developing and deploying GenAI/LLM-based models and open-source frameworks for LLM applications.
  • Education: Master's or PhD in computer science, statistics, machine learning, or a related field.
  • Technical Skills: 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.
  • Preferred:
  • Startup Experience: Previous involvement in an early-stage startup, ideally in health tech or life sciences, with a passion for high-growth projects.
  • At Paradigm Health, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.

Skills

  • 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.
  • Problem Solving & Collaboration: Advanced analytical skills and a collaborative approach to solving complex challenges across teams.
  • Startup Mindset: Adaptability and experience in fast-paced, mission-driven environments with high levels of ambiguity.
  • Healthcare/Clinical Trials Experience: Background in working with oncology or clinical trial data.
  • Advanced analytical skills and a collaborative approach to solving complex challenges across teams.

Benefits

  • Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers.
  • Previous involvement in an early-stage startup, ideally in health tech or life sciences, with a passion for high-growth projects.
  • At Paradigm Health, we are committed to providing equal employment opportunities to all qualified individuals.
  • Technical Leadership & Mentorship: Mentor junior ML engineers, contributing to team knowledge-sharing and establishing best practices for data science and machine learning.
  • 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.

Company info

  • We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.
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