Data scientist Jobs in Muri Bei Bern
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Data scientist • muri bei bern
Principal Machine Learning Engineer
machineMDBern, Canton of Bern, Switzerland- Gesponsert
Junior Supply Chain Manager Product Data
InterdiscountJegenstorf, CHClinical Data Standards Manager
ArgenxSwitzerland - Remote- Gesponsert
- Neu!
Operational Support Scientist
CSL BehringBern, Bern, SwitzerlandDATA ENGINEER
ExpleoBern, BE, CH- Gesponsert
- Neu!
Data Analyst
ITech Consult AGBern, CH- Gesponsert
Hochschulpraktikant / -in Data Engineering
Schweizer Armee - Kommando Operationen Kdo OpBern, CH- Gesponsert
Data Scientist
Alliance SwissPassBern, CHPostdoctoral scientist
Universität BernBern, Switzerland- Gesponsert
Data Science & Data Analytics Consultant 60-100%
Eraneos Switzerland AGBern, CHData Scientist (m / w / d) im Bereich Finanzplanung
SBB CFF FFSBern, CH- Gesponsert
Senior Data Analyst
Clickjob Meyer AGBern, Region ZürichOperational Support Scientist
CSLEMEA, CH, Kanton Bern, Bern, CSL Behring- Gesponsert
Data Analyst
Bundesamt für Rüstung armasuisseBern, CH(Senior) Data Scientist 80 - 100% (m / w / d)
Fincons GroupBern, Bern, CHData governance expert
Post CH AGBern oder Lausanne und Homeoffice, Region Bern, Svizzera- Gesponsert
Ml / Data Science Specialist
DV BernBern, CHPrincipal Machine Learning Engineer
machineMDBern, Canton of Bern, Switzerland- Quick Apply
TL;DR
machineMD is a Bern-based medical device company pioneering automated neurodiagnostics through our flagship ne o s™ device and oculometrics software. We’re hiring a Principal Machine Learning Engineer / Full-Stack Data Scientist to own end-to-end model development - from data pipelines and signal processing to scalable bayesian inference models - and help us bring specialist-level diagnostics into every clinic.
About machineMD
We’re on a mission to radically improve the measurement of brain function through standardized, automated, quantitative exams. Our signature product, ne o s™, is the world’s first non-invasive neurophtalmoscope for fast, automated assessment of eye movements and pupils. Founded at the University Hospital of Bern, Switzerland, we aim to bring the diagnostic quality of a highly trained tertiary-care specialist into secondary and primary care settings everywhere.
Tasks
As a Principal Machine Learning Engineer / Full-Stack Data Scientist at machineMD, you will :
- End-to-end ML - perform exploratory data analysis, design and implement ETL pipelines, craft signal-processing features, design and train models, and deploy them with robust monitoring.
- Research & Innovation - apply advanced FIR filtering, probabilistic modelling, non-linear correlation analyses and rigorous hypothesis testing to elevate diagnostic accuracy, while preserving full transparency and interpretability.
- Operationalization - optimize Docker images for minimal footprint, ensure Azure resources remain healthy and cost-efficient, and partner with software engineering to integrate new functionality into our product.
- Mentoring & Leadership - coach other engineers, uphold clean-code principles, and conduct systematic code reviews.
What We Look For
Requirements
Benefits
Working at machineMD
Located in Bern, Switzerland, we thrive on collaborative, in-person energy, while offering the flexibility you need to do your best work.
We are united by the Four Pillars of Integrity : Radical Responsibility, Feeling Our Feelings, Candor and Clear Agreements. These are not just words on a wall; they guide how we :
Living these principles keeps us “whole,” fully alive, and brimming with the energy needed to build world-class diagnostic tools.
Life’s too short to work on boring stuff. If you want to bring AI to the frontlines of brain-health and laugh along the way, let’s talk!
Send your CV and a link to your favourite project or repository with a brief explanation of why you like it.
We welcome applications from all qualified individuals regardless of gender, age, background, or orientation. Applicants must have at least a Swiss B work permit.
machineMD is a medical device company, founded in Bern, Switzerland in 2019, that develops innovative solutions to radically improve early detection of brain diseases such as stroke, multiple sclerosis and brain tumours. The company combines Virtual Reality and Artificial Intelligence to empower neurologists and ophthalmologists with reliable diagnostic data.