Scientist Machine Learning (100%) - Machine Learning for Rational Drug Design
InterAx Biotech AG is a rapidly growing Swiss Biotech company based in Villigen. We are a friendly and dynamic interdisciplinary team fully committed to the discovery of functional selective therapeutics for G protein-coupled receptors (GPCRs). The company builds on its unique Experimental and Computational Pharmacology platform to discover the next life-changing therapeutics. We are currently offering a position for a scientist in the field of machine learning.
You are a highly motivated, fully committed scientist with a strong profile in machine learning. You enjoy working in an international and interdisciplinary environment. You are energetic, flexible, result-oriented, and like working in a young and dynamic team. InterAx is an equal opportunities employer.
Develop a novel virtual screening method combining machine learning and 3D-structure-based virtual screening in collaboration with a cheminformatics specialist
For this position, you qualify with a PhD in Computer Science or Mathematics, and bring to the role:
Very good knowledge and understanding of modern statistical and machine learning techniques
Experience with convolutional and recurrent neural networks
Extensive experience with deep learning APIs e.g. Keras / TensorFlow
Proficient in programming, ideally Python
Experience with machine learning on time-resolved data (e.g. sensors, simulations) is considered a plus
You are a proactive person, team oriented and have a great attention to detail
You need excellent communication skills and fluency in English
The possibility of a partial work-from-home option is negotiable.
Applicants must be able to demonstrate proof of the right to work in Switzerland.
Strictly, no agencies.
If you are interested to join an inspirational and successful team in a rapidly growing start-up, in which your contribution is essential and highly valued, please send your application including CV, motivation letter and references to recruiting[at]interaxbiotech.com. Please use the following reference in the email subject: #2019010.
The closing date for applications is 30th of September 2019. Starting date as soon as possible, no later than January 2020.