The Opportunity

The position is raised as part of the initiative to establish a Data Analytics platform in IHB, referred to as A-IHB. We are looking for a highly motivated and talented Image Analysis Data Scientist to work at the interface of exploratory academic research and process innovation in a leading Biopharma company. You will join the Institute of Human Biology (IHB), collaborating with scientists and engineers to design and implement computational pipelines and frameworks for the analysis of large-scale and time-resolved 3D imaging data.

Your work will enable quantitative readouts from complex human model systems and directly support biological discovery. Working in a fast-paced research environment, you will contribute to the advancement of next-generation human model systems, analytical pipelines and open-source software tools used by the broader bioimaging community.

You will work closely with experienced data scientists and software engineers, receiving guidance while progressively taking ownership of your projects. For efficient interactions with collaborators you will work primarily onsite. You will be responsible to:

• Apply and adapt state-of-the-art image analysis methods to solve biologically relevant problems in collaboration with IHB scientists

• Design, implement, and validate scalable image analysis pipelines for terabyte-scale 3D imaging datasets

• Translate disease biology questions into quantitative computational workflows with guidance from senior team members

• Contribute to codebases following best practices in software engineering

• Proactively communicate progress, results, and challenges to collaborators

• Continuously expand your expertise in image analysis, computational biology, and scientific software development

• Present results to interdisciplinary audiences within IHB

Who You Are

• Advanced degree (PhD or MSc with relevant experience) in computational sciences, computer science, electrical engineering, or related fields

• Proficiency in Python and familiarity with relevant scientific and visualization frameworks

• Experience with modern software engineering tools and methods

• Background in designing scalable solutions for high-performance computing or cloud environments is a plus

• Proficiency in concepts of Computer Vision and related methods in Deep Learning

• Proficiency in data analysis and statistical methods

• Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to a non-technical audience

• Team player with the ability to also work independently and proactively