Data analyst
- Master's / PhD degree in Computer Science, Informatics, Statistics, Applied Mathematics, Electrical Engineering, Operations Research, Biomedical Engineering, related technical field, or equivalent algorithm development experience.
- Demonstrable capacity to digest scientific literature effectively, including cross-disciplinary domains.
- High attention to detail and proven ability to manage multiple, competing priorities, being comfortable in a dynamic and sometimes ambiguous environment.
- 3+ years of experience in writing with Python
- The following qualifications are a plus:
- Experience in signal processing, optics, photonics, machine learning, or wearable sensors
- Experience in analyzing -omics data
Working at a growing health-tech start-up is demanding and our goals are ambitious, which is why our team puts a strong emphasis on work-life balance. It isn’t about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. Therefore, we offer flexibility when it comes to presence in the office ensuring the right balance between impact at work and your private life. Values and Mission are important at LIOM, as the ultimate goal is to improve people's well-being and we aspire to live that. We will have the chance to discuss values and mission during the interview process.
Diversity
With 10+ nationalities in the company, we strive to build a diverse and exciting environment. We care about diversity and equal opportunities.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Amazing team!
In this role, you will be part of a team composed of awesome colleagues from which you will have the opportunity to learn a lot professionally, but also enjoy great conversations and fresh and well-informed points of view. The interview process consists of three stages:
- Introduction video call
- Technical Interview
- On-site interview
