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Data Scientist / Machine Learning at Feebris

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  • London
  • fulltime
  • -
  • What you’ll be doing

    You’ll join our core machine learning team, building robust ground-breaking data-driven solutions to extract biomarkers of disease, that prevent hospitalisations and suffering. You’ll work on the full pipeline for each problem, all the way from initial idea generation to model deployment and monitoring. This includes:

    • Designing, prototyping and validating innovative signal processing and machine learning-based models that can be used in community settings
    • Talking to medical experts to obtain clinical context of each problem
    • Developing methods to gather reliable ground truth annotations from experts (models are only as good as the data they are trained on and healthcare is a complex space!)
    • Brainstorming sessions with the team to understand and tackle complex problems together – we have plenty of whiteboards!
    • Writing and testing deployment-ready code
    • Monitoring models that are in production

    Due to being a start-up, there will inevitably be plenty more projects on the side to give you an opportunity to learn new skillsets and grow.

     

    We offer

    • Impactful work – help transform healthcare for billions of people worldwide 
    • Real responsibility – make a direct, meaningful impact on Feebris' trajectory 
    • Rockstar team – join our small team, all passionate about building something game-changing 
    • Massive growth opportunity – potential to quickly grow as the company grows 
    • Regular personal development – quarterly performance assessment, 360 reviews and personal development coaching 
    • Wear many hats – get involved in many areas of the company that you wouldn’t be able to at larger organisations
    • Competitive Compensation – Salary + Share Options (the most tax friendly way possible for you to own a piece of the company) 
    • Output-driven work culture – get unlimited paid time off and flexible working hours & location 
    • Regular social events and meetups!

     

    About us

    With a chronic shortage of clinical professionals and hospital infrastructure, our NHS is struggling more than ever to live up to its promise of universal healthcare. This is particularly challenging for vulnerable patients and those suffering from long term conditions. At Feebris, we provide health systems with a safer and more accurate way of delivering high quality remote medicine. Our AI-powered platform enables carers to conduct high quality check-ups in their communities, triage health issues proactively, and escalate concerns to clinicians. 

    Our mission is to prevent hospitalisations and suffering from conditions that could have been prevented or treated at home. We believe that no one should die or suffer from treatable conditions simply because they can’t access a doctor. And yet, we all know someone who has suffered unnecessarily and didn’t get access to the early intervention they needed, when they needed it. 

    We currently provide our system to healthcare and social care providers in the UK, and to NGOs that help young children in India. We’ve won awards for our disruptive technology (TechForce19, UKBAA, Children’s Prize), and our founder, Elina, is an internationally renowned speaker on AI in healthcare. 

    We are a small team; we each are driving to bring innovation to healthcare, growing and performing at our peak, sharing the highs and the lows, and enjoying the company of others that share values and relish being part of something that is bigger than each of us. We are searching for kindred spirits to join our journey. 

    If this is you, then please reach out. You would be joining us at an incredibly exciting time, with the opportunity to shape the company and culture as we grow. 

     

    What it takes

    • BSc or higher in Computer Science, Data Science, Mathematics or similar
    • Commercial experience working as a machine learning engineer/data scientist (> 2 years)
    • Proficiency with Python (> 3 years)
    • Passion for solving complex problems in the healthcare sector
    • Motivated by a fast-paced environment to get things done and honour deadlines
    • Resilience to deal with high-uncertainty environments
    • Self-starter driven by high energy to make a difference every day
    • Excellent communication in English, both written and verbal; ability to easily explain complex topics to a non-expert audience
    • Organised with strong attention to detail

     

    Nice to have

    • Experience working in a start-up
    • Experience using TensorFlow
    • Knowledge of C++ and/or TensorFlow Lite
    • Experience deploying signal processing and machine learning models
    • Used AWS S3 for data storage, AWS Sagemaker for data annotation and/or AWS Lambda for monitoring and processing
    • Worked in a regulated industry before e.g. healthcare, government, etc

    If you’re looking for challenging and impactful work on the cutting edge of health tech, then we would love to hear from you!

     

    Interview process

    1. 1-2 phone conversations with our hiring manager (30 min)
    2. Technical assessment (technical test completed at home)
    3. Final interviews (2.5 hours, face-to-face in London)
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