Data Scientist

About Qureight

Qureight is a MedTech company based in Cambridge, UK. It was founded by medical doctors in 2018. Our mission is to combine platform technology and life sciences to generate new insight and transform the way we use clinical data to improve the lives of patients with complex diseases.

Qureight utilises AI and Machine Learning technology to curate and analyse clinical imaging data to better understand complex heart and lung diseases which allows bio-pharma and academic institutions to obtain new insights into diseases and response to treatment.

Data Scientist

We are building a cloud-based platform which allows clients to upload, curate and analyse their data using advanced ML techniques. While there will be ad-hoc data science analyses from time to time, your main focus will be on designing and implementing reproducible, maintainable and modular data science pipelines that will form part of our product offering. The role will involve working with Python, model research, contributing to publications and integration of data science workflows into a production quality platform. You will be able to work with other AI experts and feel at home working with cloud-based software stack.

Here are some signs you might love to work with us:

You are excited to work in an innovative start-up in one of the most exciting cities in the world

You enjoy working with a multidisciplinary team and collaborating with your colleagues

You can work independently to drive projects to completion

You want to work in a company who wants to make a real difference in people's lives

Requirements

Minimum Requirements

Minimum BSC in STEM subject

Full right to work in the UK without restriction, time limit, or sponsorship

2+ years of industry experience in applied data science

Thorough understanding of statistical techniques and modelling.

Python (Pandas, Jupyter, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Bokeh)

Expert skills with data wrangling and cleaning large datasets

Clear communication and presentation of datasets

Optional skills and experience

SQL (PostgreSQL preferred)

Proficiency with command line

Experience of cloud providers (AWS preferred)

Experience with git

Good development practices including automated testing

Understanding of performance aspects of data science applications (e.g., CPU and GPU acceleration, operations on sparse arrays, model serialization and caching)

Experience of working in a team using agile methodologies

Benefits

What can we offer you?

• Flexible working hours
• Remote working. 1 day in office per month
• 25 days annual leave, plus bank holidays
• Health Insurance
• Contributory pension
• Up to 1000/year enrichment fund for career/personal development
• Beautiful office in the heart of Cambridge (10 min from station)
• Opportunities for personal development and academic collaborations in a vibrant and fast-acting company
• Opportunities for personal and professional development as we rapidly scale the company
• The chance to join a friendly, motivated group of people on a mission for universal good in healthcare
• Experience in a highly regulated industry where high-quality code is a must
• Discretionary employee share options scheme