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- Tasks: Develop and deploy machine learning pipelines using real-world clinical data.
- Company: Leading health informatics organisation in Boston focused on healthcare innovation.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by working on innovative projects.
- Qualifications: Bachelor's degree in STEM and 2-3 years of relevant experience required.
- Other info: Lead projects and train staff while developing predictive models.
The predicted salary is between 36000 - 60000 £ per year.
A leading health informatics organization in Boston is seeking a Machine Learning Engineer to develop and deploy pipelines using real-world clinical data.
Candidates should possess a Bachelor's degree in a STEM field and have 2-3 years of relevant experience. Proficiency in Python and SQL is essential.
This role involves leading projects, training staff, and developing predictive models, offering the chance to work on healthcare innovation in a hybrid environment.
Senior ML Engineer - Clinical AI & Data Platforms in Boston employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Clinical AI & Data Platforms in Boston
✨Tip Number 1
Network like a pro! Reach out to professionals in the health informatics field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior ML Engineer - Clinical AI & Data Platforms in Boston
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how your technical skills align with the role, so don’t hold back on showcasing your experience with real-world clinical data!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention any relevant projects you've led or participated in that relate to healthcare innovation. We love seeing how you can contribute to our mission!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. This helps us understand your experience and qualifications quickly!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in developing pipelines or predictive models. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading projects and training staff, prepare examples of when you've taken charge in previous roles. Think about how you motivated your team or overcame challenges. This will demonstrate your capability to lead effectively in a hybrid environment.
✨Understand the Healthcare Landscape
Familiarise yourself with current trends in health informatics and clinical AI. Being able to discuss how your work can contribute to healthcare innovation will impress the interviewers. They want to see that you're not just a tech whiz but also passionate about making a difference in the healthcare sector.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company's projects and future directions. Ask about their approach to using real-world clinical data and how they envision the role of a Senior ML Engineer evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.
