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- Tasks: Design and deploy LLM pipelines for real-world clinical data to enhance healthcare delivery.
- Company: Join Boston Children’s Hospital, a leader in healthcare innovation and research.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by applying cutting-edge AI methods.
- Qualifications: Bachelor's in STEM; 2-3 years experience; strong Python and SQL skills.
- Other info: Collaborative environment with opportunities to lead impactful projects.
The predicted salary is between 60000 - 100000 £ per year.
The Computational Health Informatics Program (www.chip.org) at Boston Children’s Hospital, a Harvard Medical School affiliate, is seeking an experienced Machine Learning Engineer to join the SMART Health IT team. In this role, you will design, build, and deploy LLM pipelines that operate on real-world clinical data and support model validation and care delivery at scale. You will join the team that helped define national standards for healthcare data APIs and population-scale clinical data exchange, and that maintains widely adopted open-source platforms used by hospitals, researchers, and technology partners worldwide. Your work will sit at the center of healthcare data innovation, translating modern AI methods into durable, production-grade tools used in clinical environments.
Responsibilities:
- Develop repeatable pipelines in Python using pandas, scikit-learn, and other statistical tools for data structuring, extraction and validation.
- Develop, analyze, and interpret large clinical text datasets using the latest natural language processing (NLP/LLM) methods to extract and validate insights to support clinical research and predictive modeling.
- Query and manage health datasets using SQL on AWS cloud.
- Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose questions, and make discoveries.
- Design, develop, and evaluate predictive models and advanced algorithms that maximize value extracted from the data.
- Generate and test hypotheses and analyze the results of experiments.
- With minimal supervision and direction, complete assignments in the required timeframe; adhere to standard operating procedures and best practices; maintain and upgrade biomedical informatics tools, methods, and technologies; migrate data, document changes, and adjust internal processes; resolve problems and seek supervisor assistance when needed.
- Routinely lead, co-lead, or participate in biomedical informatics projects with BCH researchers and external collaborators; set goals and objectives, coordinate work with stakeholders, and contribute to resulting presentations and/or publications.
- Train staff and researchers; tailor presentations; develop, implement, and maintain knowledge management systems.
- Create or contribute to communications (e.g., PowerPoint presentations, emails, memos, scientific presentations, and publications) that clearly deliver content; prepare communications for management and internal distributions.
- Present at project meetings; convey progress, discuss issues, and provide facts; build credibility by asking thoughtful questions and listening; run productive meetings that advance problem-solving.
Minimum Qualifications:
- Education: Bachelor’s degree in a STEM field; PhD, MD, MPH or MS preferred
- Experience: 2-3 years in a professional work environment outside of academia
- Demonstrated proficiency in Python and SQL and/or numpy libraries for natural language processing and validation
- Strong foundation in statistics and applied quantitative methods
- Familiarity with Fast Healthcare Interoperability Resources (FHIR) is a plus and can be learned on the job
- Excellent communication, teamwork, and problem-solving skills
- Excellent problem-solving ability, collaborative spirit, and scientific curiosity
Senior LLM / Machine Learning Engineer – Clinical Platforms in Boston employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior LLM / Machine Learning Engineer – Clinical Platforms in Boston
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and clinical data. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and case studies relevant to machine learning in healthcare. Practice explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it helps us keep track of your application more easily.
We think you need these skills to ace Senior LLM / Machine Learning Engineer – Clinical Platforms in Boston
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, SQL, and any relevant machine learning projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare data innovation and how your background aligns with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving LLM pipelines or clinical data, make sure to mention them. We’re interested in seeing how you’ve applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the libraries mentioned in the job description, like pandas and scikit-learn. Brush up on your natural language processing skills too, as they’ll be crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve used statistics and machine learning to derive insights from large datasets, and be ready to explain your thought process.
✨Understand the Healthcare Context
Familiarise yourself with healthcare data standards, especially FHIR. Even if you haven’t worked directly with it, showing that you understand its importance in clinical settings can set you apart.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. You might need to present your findings or train others, so being able to convey complex ideas clearly will demonstrate your communication skills and teamwork spirit.