Data analyst
Pfäffikon
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
Your profile - 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.
Tools in this posting
- Python
Source — Tool mentions in context
- 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
About Liom
LIOM Health AG is a Swiss deep-tech company building the ultimate health wearable for conscious living – a continuous, needle-free window into your body's chemistry, starting with glucose.
In the employer’s words · Read in context
Job description
LIOM Health AG is a Swiss deep-tech company building the ultimate health wearable for conscious living – a continuous, needle-free window into your body's chemistry, starting with glucose. Through this, we empower users to make informed lifestyle choices and live healthier and longer lives. Developed in Switzerland over 8+ years by 50+ scientists, validated across 130+ subjects, and protected by 23 patent families.
Your mission
This job opportunity aims at performing state-of-the art analysis of various experimental data (e.g. optical spectroscopy) for detecting different biomarkers in in-vitro samples and in-vivo skin measurements. You will be involved in processing and evaluating experimental data to ensure data quality and perform an assessment of the performance metrics and noise characteristics. In addition, insights from the analysis must be interpreted based on literature and LIOM's libraries as well as properly documented and reported internally with other departments.
Your profile
- 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
We offer
Work/Life Balance
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.
Our recruitment process
The interview process consists of three stages:
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on liom.jobs.personio.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pfäffikon
- Technical Interview - On-site interview
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 23, 2026
- Recorded sightings
- 13
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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