Python Job: Data Scientist at VC-backed health startup (m-f-x)

About us

We are Una, a mission-driven company, tackling the ever-increasing burden of metabolic disease.

We are combining the latest medical research, data science, bio-sensor technology, and human-centred design to enable sustainable behaviour change and improve health outcomes.

We are creating the first medical-grade digital therapy that sustainably solves metabolic dysfunction

We are VC backed with exceptional investors ranging from Food Labs, to Plug and Play and Dart Labs. Our advisor and angel network includes some of the top European founders, sector leaders and health and behavioural specialists.

We are a fast-growing, remote first team that is just getting started. There are a lot of opportunities to shape the direction of the product from the start. You will work with world-class data scientists as advisors, and this role comes with the opportunity to grow into a senior/leadership position within the company.

What we offer

Tackle one of the world's leading health problems

• Access to real-world data and the opportunity to make a lasting impact on patient care

Competitive salary and equity options

Freedom to work remote or in our Berlin office

Healthy work-life balance and flexible working hours

Budget for co-working space and health and wellness apps

Healthtech mentorship

️ An international team

A network of inspiring peers within the Atlantic Labs network

Una Health Values

Purpose

• We care deeply about our members' (users') health.
• We build fast for our members because they should not have to wait.
• We recognise that helping people improve their health is hard, and this motivates us.

Compassion

• We are open and kind to each other.
• We take time to make sure we understand our members and each other.
• We embrace everyone's uniqueness.

Innovation & Learning

• We are curious. We constantly ask 'why?' We are unafraid to challenge the norm.
• We thrive on diverse perspectives, ****such as those that come from different cultures, identities, and ideas.
• We learn from and support each other to be our collective best.

Honesty & Transparency

• We are evidence-based and use data to guide our decisions.
• We are honest about our intentions and aware of our limitations.
• We trust our colleagues to do the right thing for our members first and foremost.
• We are reliable.
• We openly admit to our mistakes and collectively learn from them.

Autonomy

• We focus on outcomes, not outputs.
• We default to individual autonomy over centralized control.

Application and Interview Process

Who you are

Working closely with our medical, product and tech leads, you will help shape how we look at data, including glucose data, nutritional data, and beyond. You will help develop a world-class data science environment characterised by quick iterations of data discovery and modelling, enabling the delivery of state-of-the-art machine learning models to advance our products. Working remotely, or in our Berlin office, you are ready to hit the ground running as we uncover unique metabolic phenotypes that will help people living with metabolic dysfunction better understand their condition, improving their quality of life. You are equally comfortable getting your hands on code as well as strategising, continuously expanding your skill set, and explaining technical issues simply and understandably to non-technical colleagues. You enjoy brainstorming and are up for getting involved across the product development cycle. Most importantly, you are motivated by the potential to improve the health of the millions of people that live with metabolic illnesses such as diabetes.

Must have skills

• Ability to bridge / move between data science and biomedical informatics / engineering
• Advanced understanding of a programming language in order to solve data-related challenges, preferably Python (and ability to leverage its ecosystem, e.g. using libraries like NumPy, SciPy, NLTK, TensorFlow, visualisation libraries, and so on)
• Advanced knowledge in data science, data mining, data modelling, machine learning, information extraction & information retrieval, as well as data warehousing
• Good basic knowledge in data structures & algorithms
• Ability to work in a team that focuses on knowledge sharing, learning, and mentoring
• Good communication skills in English and the ability to explain complex concepts to non-technical stakeholders

Nice to have skills

• Knowledge in setting up cloud platform solutions for data science
• Experience using NLP models
• Experience of using time-series models
• Startup experience (even more of a bonus if it is health-related!)

Research shows that there is a Confidence Gap between different groups (e.g., gender, age, ethnicity) leading some to apply when they meet 60% of the criteria, and others only when they check every box. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.