Data Scientist in Image Analysis
Data Scientist in Image Analysis
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1 Vacancy
Job Description
Employer
University of Berne
Work Location
Bern Switzerland
Employment fraction
80% - 100%
Type of contract
temporary
The Department for Biomedical Research (DBMR) is launching a new Biological Data Science Huband invites applications for a Data Scientist specialized in image analysis. This is a unique opportunity to take on a leadership rolein shaping the future of data-driven biomedical research at the University of Bern and beyond.
About the Hub
The Biological Data Science Hub has three key missions:
Education:Empowering labs to adopt cutting-edge data science methods by training PhDs and postdocs and embedding best practices directly in research groups.
Community:Building a strong data science culture through regular meetings collaborations with national and international partners and yearly symposia.
Open Data:Promoting FAIR data practices sharing code and fostering reproducible cost-efficient research.
As a pillar leaderin image analysis you will play a central role in advancing these missions.
Your Role
We are seeking a scientist with expertise in biological image analysis who can combine technical excellence with vision and this role you will:
Lead the image analysis pillarof the Hub bringing independence and initiative.
Design and implement state-of-the-art pipelinesfor biological imaging data.
Curate collect and manage datasets contributing to the creation of a university-wide repository.
Guide and mentor researchersacross DBMR labs in best practices and advanced image-analysis methods.
Organize training sessions workshops and community events.
Represent the Hub nationally and internationally by promoting our activities at conferences and building collaborations.
Contribute to setting standards for FAIR and reproducible data science.
Your Profile
PhD or MSc in computer science biomedical image analysis or a related field.
Expertise in image data science including machine learning and deep learning.
Strong programming skills (Python required; R or similar desirable).
Experience in HPC/Linux environmentsand data-parallel processing.
Ability to work independently take initiative and lead projects.
Excellent communication and mentoring skills with a collaborative mindset.
Desirable:
Experience with microscopy image analysis (high-content screening EM light-sheet confocal etc.).
Familiarity with tools such as Fiji CellProfiler Napari.
Experience in collaborative software development.
Background in research or clinical data environments.
We Offer
A 3-year fully funded position(80100%).
A leadership rolein a newly established high-impact initiative.
Opportunities for career development and visibility within Switzerlands leading biomedical and data science networks (EPFL AI Center SIB NCCR RNA & Disease Zurich Vision Center).
A dynamic international and interdisciplinary environment within the Faculty of Medicine.
A supportive collaborative team of experts in AI data analysis and computational biology.
Competitive salary and benefits.
Practical Information
Start date:As soon as possible
Contract type1-year renewable (up to 3 years)
Activity rate:80100%
Employment Type
Full-Time
