Senior Machine Learning Engineer, Care Access
$140-190k
Decentralized clinical research & trial services
Be an early applicant
Decentralized clinical research & trial services
501-1000 employees
Be an early applicant
$140-190k
501-1000 employees
Company mission
To engage every healthcare professional in clinical research and to make clinical trials a care option for every patient.
Role
Who you are
- Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required
- Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments
- Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important
- Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production
- Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions
- Minimum of 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 used by real people
What the job involves
- Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research
- Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You’ll also help expand our AI knowledge base architecture to support these innovative solutions
- Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You’ll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date
- Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users
- Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You’ll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward
Our take
Through a network of distributed clinical research sites, on-demand popup sites, mobile infrastructure, and traveling clinical professionals, Care Access allows for decentralized clinical trials - focused on underserved communities.
Decentralized and virtually managed trials exploded in popularity during the height of the pandemic, and now they look set to stay. Care Access was established before this boom, and is therefore in a strong position to lead the way as this type of trial becomes more mainstream.
The company acquired IBPClin, in 2022 and CEMEC in 2025, both leading clinical trial centers in Brazil. These acquisitions highlight Care Access's intention to grow in South America as well as at home in the US. On top of this, it has opened a new clinical research site in Poland, in another move towards establishing a global presence.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- PTO/Vacation days, sick days, Holidays
- 100% paid Medical, Dental, and Vision Insurance. 75% for dependents
- HSA plan Short-term disability, long-term disability, Life Insurance
- Continued Education Allowance
- Culture of growth and equality
- 401K plan and matching contribution
Company HQ
Downtown Crossing, Boston, MA
Leadership
Ahmad Namvargolian
(Founder & CEO)Was a Research Scientist at the Lawrence Berkeley National Laboratory in California. Holds a Master's in Public Policy from the University of Chicago.
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