Scientist / Matrix Lead in Immunology & Data Science (m/f/d)

Deutschland, Penzberg

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Are you ready for your next challenge?

Our vision is to create novel and highly differentiated medicines. To this end, we discover and develop novel therapeutic antibodies and next generation biologics, such as bispecific antibodies or fusion proteins. Our ambition is to deliver such novel molecules to patients with game changing clinical benefit.

We are looking for a Scientist (m/f/d) in Immunology and Data Science with a keen interest in the fields of drug discovery and development. You will join the department of Immune and Cell Biology, which belongs to a unit called Large Molecule Research within Roche Pharma Research and Early Development (pRED). This position therefore offers the opportunity to interact with numerous functions within Roche also at different sites to deliver novel medicines to patients.

Your team in a nutshell:

You will be cooperating with a team of employees within a functional matrix of highly skilled and experienced associates and scientists.

The job in a nutshell:

Your work will focus on the computational analysis of functional assays in the Department of Immune Biology. These assays mimic the mode of action for a drug target in vitro. You will develop, prototype and operate algorithms for imaging data from cellular readouts, which may result from FACS, Amnis and confocal microscopy.

The main tasks of this position:

  • You will use data generated by FACS, ELISA, confocal microscopy and reporter cell systems that elucidate novel modes of action of therapeutic antibodies. Furthermore, you will work with imaging data generated by these systems to analyze the modes of action of therapeutic antibodies.
  • You will integrate data and develop computational methods to gain novel insights into biological mechanisms and to advance our readout systems and our understanding of functional biological assays.
  • You will be member of local and global project teams where you represent the main department.
  • The development of new ways to analyze functional readouts and their transfer to Development Units also belong to your responsibilities.
  • You will be part of a highly ambitious team within the department of Immune Biology and closely collaborate with research informatics unit (pREDi).

This is also very important for us:

Team player: You are passionate about building strong teams. In your teams, everyone shares the success while setbacks are viewed as an opportunity to learn

Change: You thrive on situations involving uncertainty and help others see the opportunity of change

Being courageous: You tackle difficult issues with confidence and you hold things together during tough times

Organizational awareness: You see the big picture and have a clear understanding of other group’s business needs

Continuous learning: You enjoy the challenges of unfamiliar tasks to continuously learn new things. You seek novel approaches to solve problems and to challenge the status quo.

Presentation skills: You know how to present in a clear and convincing way before big audiences and management boards.

And the technical requirements for this position?

  • University degree in biochemistry, biology, bioinformatics or similar area including PhD or master degree and several years of relevant professional experience
  • Experience with cellular technologies
  • Strong background in bioinformatics with in-depth knowledge in the fields of statistical modelling, machine learning and deep learning  
  • You have excellent programming skills in at least one of the following programming languages R, Python, Matlab, Java or similar.
  • Experience using common deep learning frameworks (tensorflow, torch, keras) or a background in computer vision is a definite plus.
  • You have a solid background in databases, SQL, and are confident in aggregating, manipulating and pivoting data tables.
  • Fluent English language skills are natural to you

 We look forward receiving your application!

Your application:

For your application, please keep it simple. We only ask you for an updated CV. A motivation letter is also not needed. However, please let us get to know you by submitting a short essay (max. half a page) exposing the meaning the following topic has to you:

 “Mindset, scientific community, organizational setup and/or modern technologies: What does it need to successfully readout data for drug discovery”

Whom to contact

E. Hallermayer-Jahreiß +498856/60 19253

For technical questions, you can use our FAQ.

Should you have recruiting specific questions on your application or the specific job posting, please contact the responsible recruiter (E. Hallermayer-Jahreiß, +498856/60 19253).