Imaging Data Scientist - Diseases of Aging and Regenerative medicine 80-100
Imaging Data Scientist - Diseases of Aging and Regenerative medicine 80-100
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Job Description
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Level 4Job Description Summary
Location: Basel SwitzerlandFull time onsite #LIOnsite
The Disease of Aging and Regenerative medicine group is seeking a dedicated creative and skilled cellular imaging data scientist to join our hybrid translational and data science team.
The candidate will have the opportunity to join our dynamic and agile hybrid team combining both wet lab and dry lab to drive the collaborative discovery and validation of therapeutic targets biomarkers and new medicines for diseases of aging.
Job Description
You will drive the preclinical exploration validation and implementation of high content cellular imagingbased phenotypes and develop algorithms and pipelines to enable the impactful use of complex cellular assays for target ID and validation.
As a member of the Biomedical Research data science community you will also benefit from a >300 people global community with extensive know how and resources in compute data analysis data engineering and AI/ML.
In this role you will:
Develop validate and implement imageprocessing and analysis workflows and algorithms to enable complex cellular assay development characterization and readouts.
Based on your assessment of the image processing and analysis needs of microscopybased projects implement novel image and data processing technologies to design efficient and reusable solutions and pipelines including use of generative AI
Communicate results to a diverse audience of computational and experimental scientists and suggest next experimental and in silico next steps
Work at the interface of high content imaging and highresolution molecular data modalities to drive innovative target ID and validation.
Be an AI/ML and data steward and educate and train colleagues in the field of AI/ML for computer vision and other biomedical applications
Minimum Requirements: PhD/MS in computer science biomedical image computing computational imaging or a related quantitative field
Work Experience:
Minimum of 2 years of relevant experience in industry or academia (e.g. Postdoctoral Research).
Skills:
Strong programming and data analysis skills in Python and R and practical experience with at least one major deep learning framework PyTorch TensorFlow).
Strong background in computer vision or computational imaging applied to cellular biology and demonstrated ability to innovate in that space.
Skilled in parallel data processing working in both HPC environments and cloud computing platforms.
Proven track record in applying image analysis software such as CellProfiler ImageJ/FIJI Napari ilastik or Imaris.
Experience in statistical modeling machine learning data visualization reproducible research practices.
High learning agility and ability to thrive in a collaborative multidisciplinary environment.
Excellent communication skills demonstrated ability to educate and mentor in the field of data science and AI.
Desirable
You have experience in analyzing images from a diverse range of microscopy modalities including highcontent screening electron microscopy lightsheet microscopy and confocal microscopy
Drug discovery experience ideally in target ID and lead finding.
Experience with omics e.g spatial transcriptomics and ML model deployments/MLOps
*Restrictions on working flexibility may apply to this position and can be discussed at interview as required
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If because of a medical condition or disability you need a reasonable accommodation for any part of the recruitment process or in order to receive more detailed information about the essential functions of a position please send an email to and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Employment Type
Full-Time
