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Working Student (f/m/d) – Science and Technology

Working Student, Part-time · Martinsried (BY)
PURPOSE OF YOUR JOB
We offer a long-term student employment (minimum 3 months) as working student (Werkstudent) to work on projects that combine computer sciences and life sciences.
As working student, you will support our highly motivated team in a collaboration project with a large pharmaceutical company to implement and advance image analysis tools based on artificial intelligence and machine learning.
YOUR RESPONSIBILITY
  • Your weekly working time is 4 to 20 hours during the semester (dependent on your schedule and flexibility); during semester breaks you can increase to 40 hours a week, if preferred
  • Work in close cooperation with our scientific project team and the IT unit to set up and evaluate tools for machine learning-based image classification
  • Develop, train, and test machine learning models for image classification
  • Support the configuration and optimization of the machine learning environment (e.g., selection and installation of software packages, adjustments of hardware)
  • Support the application of the developed machine learning models for image analysis in the collaboration project
  • Report and communicate project progress and results within the project team and with the collaboration partner
WHAT YOU NEED TO SUCCEED
  • You study applied science or computer sciences (e.g., physics, (bio)informatics, mathematics, engineering, etc.) and are still enrolled
  • Experience with
    • Deep learning and related non-linear statistical analysis
    • Convolutional neural networks and computer vision
    • Image processing and image analysis
    • Ideally: TensorFlow or similar machine learning frameworks (such as PyTorch, Keras, or Theano)
  • Profound programming skills in Python (or C++)
  • Proficient skills in using machine learning-related and image analysis-related libraries such as NumPy, SciKit, OpenCV, etc.
  • Skills in setting up machine learning infrastructure on Windows and Linux operating systems
  • Administrative knowledge of containerization platforms (such as Docker) would be desirable
  • Good communication and social skills to interact with both IT experts and Scientists
  • Ability to work independently and problem-solving attitude
  • Interest in applying machine learning technology to solve relevant scientific research questions related to particulate impurities in biopharmaceutical drug products
  • Motivation to set up new machine learning infrastructure in a team effort
INVEST IN YOURSELF
  • Ownership: All team members are invited to contribute ideas, make decisions and exert influence.
  • Flexibility: Work on your terms using our hybrid office.
WHY TO JOIN CORIOLIS?
As Working Student (f/m/d) you will support our a highly motivated, interdisciplinary team in its work with cutting-edge technologies and setting trends for the analysis of (bio)pharmaceuticals.
We provide an open-minded environment where you have the opportunity to articulate your ideas and build interesting machine learning and image analysis applications. You become a valued team member having own tasks and responsibilities. At the same time you are part of a fast developing pharma company getting valuable insights for your future career.
Coriolis Pharma is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, citizenship or gender identity, color, disability, religion/belief, sexual orientation, marital status, age or individual preferences. Different backgrounds, experiences and ideas push us further and raise the bar.
 
Due to the current events concerning the COVID-19 pandemic, Coriolis Pharma has implemented different measures to ensure the physical and mental health and safety of our employees (for example: air filter in offices, free masks and disinfectants, in-house antigen testing, flexible use of mobile working).
 
People Organization and Culture Unit
Thank you for your interest! We look forward to receiving your application documents. Please use our career portal exclusively for this purpose.
We would like to support you from the very beginning to shape your development possibilities here at Coriolis.
For questions or further information, please visit www.coriolis-pharma.com or contact us directly.

We are looking forward to your application!
 
 
Dominik Schwemmer
Talent Acquisition Manager
People, Organization & Culture Unit

Coriolis Pharma Research GmbH
Phone: +49 (0) 89 – 417760 - 0
Fraunhoferstraße 18 b, 82152 Martinsried
www.coriolis-pharma.com

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About us

Coriolis Pharma, is a globally operating service provider and one of the world leaders in formulation research and development of (bio)pharmaceutical drugs and vaccines.
We revolutionize the  development process of biopharmaceutical drugs by integrating innovative  digital formulation approaches from drug development to commercial products. 

As  a people and team-oriented company with an interdisciplinary team of highly  skilled scientists and an expert scientific advisory board, we provide  cutting-edge services and tailor-made solutions for our clients.

Our company culture is based on diversity, teamwork and open and appreciative communication. That's why wonderful people from over 25 nations around the world work together successfully at Coriolis.


What motivates us? Our motivation is to enable  the development of innovative drugs by performing outstanding biopharmaceutical  research to improve the quality of life for humankind.

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Your application!
We appreciate your interest in Coriolis Pharma Research GmbH. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at career@coriolis-pharma.com.

Please upload your CV, recent certificates as well as a brief cover letter (in total max. 20 MB).

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