At a Glance
- Tasks: Analyse patient data and build an internal data platform for impactful decision-making.
- Company: Flok, an innovative AI-native healthcare provider transforming patient care.
- Benefits: Competitive salary, equity options, comprehensive medical coverage, and a collaborative work environment.
- Other info: Join a small team with big ambitions and excellent career growth opportunities.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology.
- Qualifications: Strong Python skills, experience with data, and a passion for improving user experiences.
The predicted salary is between 80000 - 98000 £ per year.
Every healthcare system in history has been a fundamental trade-off between quality and scale - our mission is to change that. We're building a new category of AI-native healthcare provider, using full-stack care automation to deliver world-class treatment at population scale. Our AI physiotherapy clinic is already democratising access to 24/7 healthcare for NHS patients across the UK, and we're just getting started.
The Role
We're looking for a data engineer driven by patient impact and facilitating data driven decision making. We're still small, so you'd be the sole engineer focused solely on the data side of things (at least initially).
What You'll Do
- Analysing patient data - running queries to generate plots/visualisations and data summaries
- Building an internal data platform to allow non-technical colleagues to self-serve with their data queries
- Working with the UX team to iterate the app design and requirements through data driven decisions
- Coming up with interesting questions to ask about our data to inform product decisions
- Improving our application and data model to capture high quality data
- Exemplifying best practice for medical data storage, security and privacy
You’ll collaborate closely with the rest of the engineering / UX team, work directly with company leadership, and see the impact of your work on real patients.
About You
- You have strong programming skills in Python and its data science ecosystem
- You are a software professional, who knows the difference between research and production code
- You have good mathematical fluency (particularly around probability, statistics and information theory)
- You enjoy working with design and product teams to help shape exceptional products
- You care deeply about users - championing great experience and access to quality clinical care
- You can communicate your work clearly to both technical and non-technical audiences
- You take initiative and ownership of your work
Bonus Points
Whilst not required, experience in any of these areas will definitely stand out - let us know if you have any!
- Working with medical data (or other sensitive data)
- Creating visual tools (e.g. interactive dashboards) for data exploration by others with good UX
- Good ML fundamentals (e.g. could build a small neural network from scratch)
- Data modelling (and versioning) of complex systems
- Startup experience
What We Offer
- Challenging work at the frontier of AI-native healthcare
- In-person collaborative culture in a beautiful work space in the Cambridgeshire countryside
- An onsite gym and digital health subscription of your choice
- Early stage equity with employee-friendly terms (via an EMI scheme)
- Comprehensive medical coverage (including dental and optical) and life insurance
- Optional remote working on Wednesdays, with an annual allowance of 10 extra remote days
- Desk setup allowance for your favourite keyboard / mouse / whatever!
- Monthly team feasts (and the BBQ is used most days)
- A fast paced work environment geared towards excellence and professional growth (with annual training budget)
- A chance to have a big impact in a small team transforming care and outcomes at population scale
About Flok
More than a billion people a year suffer unnecessarily from conditions like MSK pain, where the right treatment approach is well-established but undeliverable at scale. We're changing that. Our team has deep expertise across clinical, engineering, and regulated AI, has a track record of healthtech innovation, and is backed by top VCs and multiple unicorn founder angels.
If you like:
- Solving hard problems at the intersection of technology and healthcare
- The pursuit of excellence—helping each other to do the best work of our careers
- Working in an in-person collaborative environment
- Taking ownership to have significant impact in a fast-growing mission-driven company with big ambitions
Then you'll fit right in!
Data Engineer Cambridge employer: Meeveem Limited
Flok is an exceptional employer that offers a unique opportunity to work at the forefront of AI-native healthcare in a collaborative and innovative environment. Located in the picturesque Cambridgeshire countryside, employees benefit from a supportive culture that prioritises professional growth, comprehensive medical coverage, and the chance to make a significant impact on patient care. With early-stage equity options and a focus on work-life balance, Flok is dedicated to empowering its team members while transforming healthcare delivery for NHS patients across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Meeveem Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer Cambridge at Meeveem Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Meeveem Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer Cambridge at Meeveem Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Meeveem Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Meeveem Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Meeveem Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Meeveem Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
