Deep Learning Science Intern, Genedata Screener, CH-Basel

The Position

We are looking for an intern position for a Deep Learning Scientist to join the scientific team of our Genedata Screener business unit.

The Screener development and science teams create and maintain scientific software products. Continuous progress in science drives the constant evolution of these products. Adding new scientifically involved features with every release requires a solid understanding of scientific data analysis, continued research and prototyping of new analytical solutions. The successful candidate will have a chance to learn all these aspects in a global acting leading software company.

Genedata develops to-the-point solutions that simply work. You will use your scientific and mathematical knowledge to solve real-world scientific problems. The result of your work can have a real impact on the real experimental and analytical practice in pharma drug research. What you need to fulfill this intern position is a strong scientific/mathematical background; experience in the fields of structured data analysis and algorithm design is a plus.

This position is based at our offices in Basel, Switzerland. We offer no internships shorter than six months. 

Key Responsibilities

  • The successful candidate will work on ‘his/her project’, but will also assist our science staff by analysis of customer data, feasibility studies, feature specification, and software testing
  • Prototyping and implementing of selected and bespoken algorithms and procedures for the advanced analysis of such screening data
  • Documenting and presenting the work, use cases, its results or implemented methods and their application 

Your Profile

Essential Skills and Experience

  • M.Sc. or Ph. D. degree in computer science, bioinformatics, applied physics, applied mathematics, or a related field
  • Experience with and algorithmic understanding of artificial intelligence, and convolutional neural networks
  • Experience both in writing Java code and scripting project code, preferably in Python. We also require basic familiarity with the UNIX shell environment
  • Ability to communicate with internal stakeholders (managers, scientists, and IT experts)

We look forward to receiving your application if you possess the skills listed below, are a fast learner and wish to quickly delve into the scientific and technical challenges of cutting-edge screening technologies in the context of Pharmaceutical R&D

Additional Desired Skills and Experience

  • Experience in implementing AI based strategies/algorithms by using high level frameworks like Keras (and/or Tensorflow, DeepLearning4j, etc.)
  • Experience in developing statistical methods and analysis pipelines for use by others. Experience with mathematical software packages, e.g. Mathematica, MATLAB, R, Octave
  • Experience with networks, databases, image analysis, distributed systems, and/or web technologies
  • Deeper knowledge within a few, or broader knowledge across a range of screening technologies and application areas is desired (please see our website for more details)
  • Experience with pharmaceutical research and the drug discovery process would be valuable to us

The Company

Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore.

About Genedata Screener®

Genedata Screener® analyzes, visualizes, and manages screening data from in-vitro screening assay technologies across the enterprise, including very complex as well as ultra-high throughput experiments. Its screening-oriented business logic enables rapid processing and comprehensive analysis of complete campaigns. 

Are You Interested?

If you are interested in this position, please submit us your CV and motivation letter.

Genedata is an Equal Opportunity Employer.

Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.