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Postdoctoral Research Fellow Bioinformatics/ Biostatistics in the
environment of machine learning on antibody NGS data (m/f)

The jobholder will work in the environment of two departments within
Pharma Research and Early Development (pRED): in the wet-lab
laboratories of Large Molecule Research at Roche Penzberg, Antibody
Next Generation Sequencing (NGS) data will be generated and in the Data
Science group of pREDi Penzberg these data are processed, analyzed and
visualized. In doing so, you will be using profound and state-of-the-
art bioinformatics/biostatistics, data analysis, data integration, and
data visualization methods. One key element of the antibody
characterization project, which you will own, is the in silico
prediction of specific antibody properties to foster the lead
identification process within the discovery units.

This position requires the application and development of data
analytics solutions based on machine learning, statistical analysis or
mathematical and predictive modelling techniques to allow project teams
to draw scientific conclusions from large-scale antibody NGS data.

Key responsibilities include, but are not limited to the following

- You will work as a bioinformatics/biostatistics researcher (m/f)
within Roche Pharma Research, developing machine learning approaches
for binding properties prediction. Furthermore you will get the unique
opportunity to validate your findings by wet-lab experiments.
- Other key responsibilities comprise the development of data analysis
and prediction algorithms on antibody NGS data by the application of
appropriate machine learning techniques
- It will be your responsibility to cooperate both with wet lab
scientists and data scientists to generate and analyze antibody NGS
- The publication of results belongs to your tasks and will be

Who you are

You’re someone who wants to influence your own development. You’re
looking for a company where you have the opportunity to pursue your
interests across functions and geographies. Where a job title is not
considered the final definition of who you are, but the starting point.
- You hold a PhD in bioinformatics or a related relevant field
- In addition, you have excellent programming skills with knowledge of
at least one of the following programming languages: Java, Matlab, R or
- You are experienced in working with next generation sequencing data,
favorably antibody datasets
- We can trust in your experience with statistics, machine learning
including deep learning and/or data mining
- Your knowledge on bioinformatics data integration and large-scale
data analysis is up-to-date
- You have a solid background in protein biology, especially antibody
- Basic knowledge of protein structure is essential and antibody
modeling experience is of advantage
- You are able to perform standard wet-lab experiments with guidance
and you are eager to learn new techniques
- You can prove your scientific excellence with a number of
- You are well known for your strong team spirit and your willingness
to work in international teams
- In addition you are interested to work interdisciplinary and you are
ready to learn and explore new fields
- Excellent English skills, written and spoken, complete your profile

This position is limited to a timeframe of two years.