Machine learning research manager (80-100%, m/f/d)

Pfffikon , Zurich, Switzerland

Type: n/a

Category: Research & Academia

Requirements: English
Company: TN Switzerland
Region: Pfffikon , Zurich

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Client:

Liom Health AG

Location:

Job Category:

Other

Job Reference:

ad0140adb742

Job Views:

8

Posted:

13.04.2025

Expiry Date:

28.05.2025

Job Description:

About Liom

Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in the EU in H12027, and then as a medically cleared product in the US. Our team consists of over 80 staff, including more than 50 PhDs, with deep expertise in entrepreneurship, product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfffikon SZ, Switzerland.

Your mission

• Develop innovative machine learning methods in collaboration with experts in photonics, electronics, biomedical, and fluidics, driving impactful research and development.
• Lead and mentor a growing team of machine learning, data, and software engineers, fostering creativity, risk-taking, and technical excellence.
• Stay ahead of cutting-edge research, translating insights into practical applications while ensuring thorough documentation of experimental results.
• Build a strong team culture, setting clear goals, delegating tasks effectively, and motivating high performance through recognition and coaching.
• Oversee team operations and budget, address challenges proactively, and create opportunities for professional growth and collaboration.

Your profile

• PhD in Computer Science, Statistics, Machine Learning, Applied Math, Electrical Engineering, Operations Research, Biomedical Informatics, or a publication history in such fields.
• Proven work experience as a team lead of min. 3 years.
• Hands-on and pragmatic leadership style.
• At least 8 years of work experience, preferably in an industry characterized by machine learning for high-dimensional data analysis.
• Preferably in-depth knowledge of and experience with one or more of the below:
• Optimization in the context of challenging high-dimensional objective functions.
• Latent variable models including state space models.
• Deep learning including deep generative models and the practical aspects of developing such models.
• Identifiability of statistical models.

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 isnt 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 18 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 were building an environment that celebrates knowledge sharing and mentorship.

Amazing team!
In this role, you will be composed of awesome colleagues from whom 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 R&D teams, including Biomedical Science, Biochemistry, Biophotonics, and Electrical Engineering.

Our recruitment process

The interview process consists of three stages:

• Introduction video call
• Technical Interview
• On-site interview

About us

Liom is a Swiss health-tech 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

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