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- Tasks: Build predictive models using machine learning and microbiome data to improve birth outcomes.
- Company: Leading UK research institution focused on innovative biomedical research.
- Benefits: Competitive salary, professional development opportunities, and inclusive workplace culture.
- Why this job: Make a real difference in healthcare by predicting preterm births with cutting-edge technology.
- Qualifications: Expertise in machine learning and biomedical knowledge required.
- Other info: Collaborate with top researchers in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading research institution in the UK is seeking an enthusiastic data scientist with expertise in machine learning and biomedical knowledge. You will build models integrating microbiome profiles and clinical data to predict preterm births. This MRC-funded role is initially for 12 months, and you will work alongside established researchers in data science and microbiome studies.
The position offers competitive salaries, opportunities for professional development, and inclusive employment policies.
Multimodal ML Scientist - Bioinformatics for Birth Outcomes employer: Findauniversity Ltd.
Contact Detail:
Findauniversity Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Multimodal ML Scientist - Bioinformatics for Birth Outcomes
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of bioinformatics and machine learning. Attend relevant conferences or webinars, and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to microbiome data and predictive modelling. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the institution and its current projects. Be ready to discuss how your background in machine learning can contribute to their work on preterm birth predictions. Tailor your responses to show you’re a perfect fit for their team.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to submit your details. Plus, it shows you’re genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace Multimodal ML Scientist - Bioinformatics for Birth Outcomes
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and bioinformatics shine through. We want to see how excited you are about using machine learning to tackle real-world problems like predicting preterm births!
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and biomedical fields. We’re looking for specific examples of your work with microbiome data or clinical studies, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Be sure to connect your skills and experiences directly to the job description, and explain how you can contribute to our research goals.
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Findauniversity Ltd.
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and bioinformatics knowledge. Be ready to discuss how you've applied these in past projects, especially any work related to microbiome data or predicting health outcomes.
✨Show Your Enthusiasm
This role is all about passion for research and data science. Let your excitement shine through during the interview. Share why you're interested in this specific position and how it aligns with your career goals.
✨Prepare for Technical Questions
Expect some technical questions that will test your understanding of multimodal models and data integration. Practise explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical team members.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the research institution's projects, team dynamics, or future directions in microbiome studies. This shows your genuine interest and helps you assess if the environment is the right fit for you.
