Description:

Paradigm is creating a platform to enhance equitable access to clinical trials for all patients while improving trial efficiency and reducing barriers for healthcare providers.
The company is backed by leading healthcare and life sciences investors and aims to implement a seamless infrastructure at healthcare provider organizations.
The Machine Learning Engineer will contribute to building NLP and LLM-based models to streamline trial execution activities and integrate them into provider workflows.
This role offers the opportunity to develop innovative tools that improve protocol design, increase patient recruitment, and expedite clinical trial conduct.
The work will have a positive impact on patients' lives and advance the science and practice of clinical research.
Responsibilities include building, testing, and deploying ML models and pipelines at scale, collaborating with clinicians and engineers, and communicating technical insights to stakeholders.

Requirements:

A Master's or PhD in statistics, computer science, or a related field is required.
A minimum of 2 years of experience as a machine learning engineer or data scientist, preferably in the healthcare industry, is necessary.
Hands-on experience in training, evaluating, deploying, and fine-tuning ML models is essential.
Proficiency in Python and SQL, along with familiarity with various machine learning algorithms and statistics, is required.
Experience in production-level engineering architecture, including pipelines and model deployment, is needed.
Strong problem-solving skills and the ability to collaborate effectively across teams are important.
Candidates should be comfortable in a fast-paced, mission-driven startup environment.

Paradigm is committed to providing equal employment opportunities to all qualified individuals, fostering a diverse and inclusive workplace.
The company values the contributions of every employee and encourages candidates from diverse backgrounds to apply.
Reasonable accommodations are provided to qualified individuals with disabilities.
Employment decisions are based on job-related factors such as skills, experience, and qualifications, ensuring a fair hiring process.