Data Scientist Imaging
The data scientist imaging is primarily responsible for computational analysis of digitized images, generated by our in-house histology lab but will need the flexibility to analyze other types of datasets and where necessary perform integrative analyses. You will be part of the Translational Science Group whose members scientifically and experimentally engage in discovery and early development teams to solve project related questions. By working closely together with other functions in scientific computing and (biomedical) statistics in a matrix you will report and discuss decisionable data to projects teams. Based on your specific medical, pharmaceutical and/or biological background you will be appointed to one or two therapeutic areas.
- Developing and validating image analysis methodologies and algorithms for quantitation of single-plex and multiplexed IHC and IF for disparate analyses in animal and human tissues
- Applying analytic methods to multiparametrically phenotype cells, and to quantitate and spatially characterize molecular targets in situ within tissue sections
- Developing standardized analysis workflows: data storage, data management, data retrieval with queries, data visualization and biological data interpretation based on the biological questions
- Driving the exploration and validation of novel drug targets and/or biomarkers
- Continuous improvement of procedures; evaluation, validation and implementation of new tools and methodologies
- Developing and constantly innovating the Translational Science Biomarker strategy with Translational Science Group members
- Documenting, reporting and communicating results to the teams.
Qualifications and Experience:
- A PhD in either one of the following disciplines: bioinformatics, physics or any other life sciences discipline with demonstrated experience in digital imaging.
- Minimally 2 years postdoctoral experience in the field of applying advanced types of image and data analysis proven by a strong publication record.
- Industry experience would be a valuable asset.
- Proficient in the English language. German and/or French would be an advantage.
- Expert knowledge in omics information resources and more advanced pathway / biological network analysis.
- Practical experience with digital imaging equipment such as the Hamamatsu NanoZoomer S60 FL, with quantitative image analysis software tools such as HALO, InForm, Definiens, or CellProfiler is needed.
- Understanding of image processing as it relates to the development of biomedical image analysis.
- Excellent knowledge of image processing and understanding, Machine Vision, and Pattern Recognition
- Laboratory experience in histology, pathology and immune histochemistry would be an advantage
- Practical knowledge of Machine Learning based methods and techniques
- Strong background in computational analysis and experienced in using statistical packages such as R.
- Basic scripting and programming skills (e.g. Python, Java)
- Familiar working within a UNIX environment
- Advanced understanding of other omics data analysis techniques would be an advantage
- Experience in one or more therapeutic areas of interest to Idorsia (CNS, immunology, oncology and CV/fibrosis) would be an advantage.
- Demonstrated experience of working in multicultural, multidisciplinary and matrix environments.
- Result oriented, problem solver with a good understanding of biology in multiple therapeutic areas preferably with experience in a medical setting.
- Dynamic team player with excellent communication and networking skills, flexible mindset and scientifically curious.
- Exemplifying core values of Trust and Teamwork in project teams to maximize their effectiveness.
- Proactive, forward thinking and wishing to be up-to-date with the latest computational technologies.