Senior Algorithm Engineer / Data Scientist (PPG) (80-100%)

Your mission

What could you build on top of real-time and non-invasive Glucose monitoring? That is what Liom is all about, and we want to beat Apple at it.

Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Liom.

We are a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better manage chronic diseases, to customize critical treatments and, to improve your health.

Using proprietary optical sensors, Liom is building a cutting-edge biomedical data generation pipeline to train medical-grade Machine Learning algorithms to infer glucose transcutaneously from spectral measurements.

To achieve our vision, our team and advisory board consist of world experts coming from top academic institutions (ETH, EPFL, Columbia, Princeton, or Harvard among others) and industry leaders (Baxter, Roche, Lonza).

We are looking for talented, experienced, voraciously curious, and self-driven professionals to join an A-team of doers : https : / / t.ly / vmCKi

After 4+ years in R&D phase, we are sprinting towards product development phase to launch to market. Therefore, joining as one of the first 60 permanent employees provides you great opportunities for growth in responsibilities and impact.

Responsibilities

As a Sr. Algorithm Engineer / Data Scientist (PPG), you will research and collaboratively build computational solutions to real world problems in our domain : a continuous non-invasive glucose monitoring smartwatch.

Your work involves being able to acquire and smartly combine deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics and manufacturing).

For this opening in particular, we are looking for a Photoplethysmography (PPG) expert with extensive industry exposure to real world data challenges, working with multi-biosignal combinations (raw PPG, accelerometer and giroscope) for pulse, SpO2 and activity detection algorithms.

Your profile

Minimum Qualification

• Master's / PhD degree in Computer Science, Electrical Engineering, Biomedical Engineering, a related technical field, or equivalent algorithm development experience.
• 8+ years of experience in writing software working with at least one compiled and one interpreted language such as Python, JavaScript, Java, Go, C, C++
• 6+ years of Algorithm engineering experience in industry developing PPG and multi-biosignal algorithms
• Experience with scientific analysis packages such as scikit-learn
• 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.
• The following qualifications are a plus :
• Experience with Machine Learning at the Edge (optimization, HW accelerators, GPU, distributed computing)
• Experience in the healthcare or pharma industry

IMPORTANT : we cannot sponsor working permits for non-EU / EFTA nationals for this role. Applications that do not fulfill this criteria will be automatically rejected.

We offer

Work / Life Balance

Working at a growing MedTech 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 in working hours and encourage you to find your own balance between your work and personal 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 value and mission during the interview process.

Diversity

With 18 nationalities in the company, we strive to build a diverse and exciting environment. Within the SMLE team we take special care of gender diversity - currently balanced at 50 / 50 among the permanent employees- 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.

We want you to grow with Liom.

Amazing team!

In this role, you will be part of the Machine Learning Research & Engineering team , currently composed by 20 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.

Additionally, you will be working closely with all RnD teams, including Biomedical Science, Biochemistry, Biophotonics, and Electrical Engineering.

Don't forget to check th e team on our web site!

Our recruitment process

The interview process consists of 3 stages :

• Introduction call (20 min - led by hiring manager - remote with video)
• Technical Interview (60-90min - led by engineers from the team - remote with video)
• On-site interview (90 - 120 min - Culture & Team fit, Lab tour, if role requires meet members from other teams - in person in our office and lab in Pfäffikon)

About us

Liom is a Swiss medtech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single requirement as listed. We know that underrepresented groups more often doubt the strength of their candidacy, but we urge you not to exclude yourself prematurely and to still submit an application if you're excited about this work and think your profile is overall a good fit!

We believe that products like the ones we’re building will have an impact on a very broad set of people, and we strive to include a range of diverse perspectives on our team.

We would love to hear from you!