Data Analyst 

 
Join us to make an impact for healthcare

In a world where access to clinical support is waning due to the growing shortage of doctors and outdated healthcare systems, we believe that everybody should have access to the care they need when it comes to the health of their skin. To help democratise healthcare, and build a more efficient patient journey, we develop technologies that leverage the power of dermatological AI to make high quality and effective healthcare available from the smartphone in your pocket.

 

Your role

We are looking for a new colleague to help drive our smartphone AI technology in medical imaging forward. You will be part of a team of experienced and talented researchers, engineers, and data analysts with years of experience in medical image analysis, where ideas are fertilised and quality is a virtue. You will be tasked with data engineering and business analytics tasks. We expect that you thrive and excel under a great deal of freedom, work well in both small and mid-size teams, and are able to adapt to ever-changing needs.

 
The ideal candidate

We are looking for individuals who are eager to make an impact for healthcare and want to contribute to projects that have the potential to help millions of people.

As our ideal candidate, you… 

  • Hold strong Python and SQL skills so you can efficiently transform and analyse datasets.
  • Are passionate about attacking open problems related to real-world datasets and applications, and continuously willing to learn new skills when needed.
  • Have a MSc in data analysis, data science, computer science, engineering, mathematics, or related field.
  • Are motivated about working with experts in engineering, product development, and medicine (dermatology).
  • Are on firm ground when coding, fiddling with the terminal, and debugging complex code.
 
Bonus points

It is a bonus if you have…

  • Experience developing annotation guidelines for subject matter experts.
  • Worked in a go-to-market environment with an emphasis on delivering value to users.
  • Experience with software engineering principles such as continuous integration, automated testing, and agile e.g. demonstrated usage of AWS, Github, CircleCI.
  • Experience working with predictive models in medical image analysis using e.g. computer vision and machine learning methods.
  • History of open source contributions or challenge participation in e.g. ISIC, ISBI, SPIE, Kaggle.
 
What we offer
  • A unique opportunity to work in the heart of Copenhagen with an international team where leading edge research is turned into real impact on the lives of people suffering from skin diseases.
  • Ability to attend scientific conferences and professional training.
  • Competitive salary, pension contribution and premium health insurance.
  • Flexible holidays and an extra week after 9 months, so you can take time off when you need to.
  • Paid parental leave to let you spend valuable time with your loved ones.
  • Employee discounts for a range of activities and shops.
  • We have an on-site chef to serve lunch every weekday. We also have team breakfasts every Friday, and if you’re running low in the afternoon, you can fuel up with a selection of snacks.
  • MacBooks and super-ultra-wide screens as your productivity base – unless you prefer otherwise.
 
How to apply

Apply by sending your resume and motivational letter to jobs@leoilab.com with the subject “Data Analyst”. We will invite applicants for interviews on a rolling basis.

Please include all relevant academic and industry credentials and link to your portfolio/Github.

 

About LEO Innovation Lab

LEO Innovation Lab was established in 2015 as an independent innovation unit of Denmark’s oldest pharmaceutical company LEO Pharma. Being owned by a foundation, LEO Pharma has no shareholders to consider, and all profits are reinvested into new research to help patients. The innovation lab functions with a high degree of autonomy to address global healthcare challenges with digital technology designed to alleviate specific pain points experienced by patients or doctors within the ecosystem of skin diseases. We collaborate with research partners from across the world, including the USA, Europe, and China, to achieve global impact for healthcare.