Aktuelle Jobs im Zusammenhang mit Data Scientist - Epalinges - Epiterna
-
Lab Manager
vor 2 Wochen
Epalinges, Waadt, Schweiz Orbis Medicines Vollzeit CHF 60'000 - CHF 90'000 pro JahrJoin our passionate team in Lausanne and bring new therapies to life.Orbis Medicines is a pioneering biotech company dedicated to the future of drug discovery by leveraging chemistry and data-driven approaches to transform the treatment landscape. We are looking for a dynamic and detail-oriented Lab Manager to support the operations of our labs at Superlab...
-
Machine Learning Engineer
vor 2 Wochen
Epalinges, Waadt, Schweiz Atinary Technologies Vollzeit CHF 80'000 - CHF 200'000 pro JahrMachine Learning Engineer Lausanne, Atinary Technologies Are you a builder who wants to solve hard problems in AI for Science? Atinary Technologies is revolutionizing R&D and Materials Discovery. Our platform, SDLabs, empowers researchers to accelerate scientific breakthroughs using AI -driven experimentation. We are looking for a Machine Learning Engineer...
-
Machine Learning Engineer
vor 2 Wochen
Epalinges, Waadt, Schweiz Atinary Vollzeit CHF 70'000 - CHF 144'000 pro JahrMachine Learning EngineerLausanne, Atinary TechnologiesAre you a builder who wants to solve hard problems in AI for Science?Atinary Technologies is revolutionizing R&D and Materials Discovery. Our platform, SDLabs, empowers researchers to accelerate scientific breakthroughs using AI-driven experimentation. We are looking for a Machine Learning Engineer to...
Data Scientist
vor 2 Wochen
**Introduction**
EPITERNA is a new discovery company located in Switzerland focused on extending the lifespan of animals including companion dogs and humans.
EPITERNA has developed a unique discovery platform capable of rapidly screening and testing interventions that can slow the process of ageing and extend lifespan in multiple animal models.
EPITERNA is hiring a Data Scientist to process, analyse and visualize data generated by the scientists; leverage publicly available data and develop machine learning models.
**Job description**
**Role**: Data Scientist
**Contract**: Full-time
**Starting date**:asap
**Activity rate**: 100%
**Schedule**: 9am-5pm, Monday to Friday
**Location**: Epalinges, Switzerland - exclusively onsite
**Your responsibilities**
- Develop deep learning models for object detection
- Develop scripts to process and analyze biological data
- Develop scripts to visualize biological data
- Implement web apps for visualization of results
**Your profile**
- MS or PhD in Computer Science, Computational Biology, Bioinformatics
- R, Python data analysis, data visualization
- Deep learning (tensorflow, pytorch)
- Web development
- Excellent communication skills in English
- Organizational skills, rigorous and caring about details
- Ability to work independently and good team spirit
- Motivated and reliable
**Why you might like this role**
- If you believe in the concept of preventive care and treating the root causes of disease and disability, we think you will be excited about our mission
- We are a highly collaborative, interdisciplinary, and pragmatic team and care deeply about creating a company culture that allows everyone to thrive and do their best work
- We started this company not only to develop better drugs, but to rethink how we provide healthcare
- We have sufficient funding from investors who are deeply aligned with our mission, so while we are an early-stage start-up, we have the necessary resources to develop best in class research and clinical infrastructure
- You will work closely with the founder and a highly motivated team of world class scientists and engineers
**Reasons you might not like this role**
- We are an early-stage start-up, so our processes, company size and personal responsibilities are not yet established and will change faster than in a corporate environment. This means there is a lot of room for you to take responsibility and move fast, but it can also be overwhelming at times
- Ideally you would move to Lausanne, Switzerland or at least spend some of your time here on site (it’s a beautiful place)
**Job Types**: 100%, Permanent
Schedule:
- Monday to Friday
Work Location: One location