Drug Discovery- Machine Learning Scientist (M/F)

• Design and implement machine learning algorithms using chemical/biological data for drug discovery.
• Collaborate with a diverse team of scientists, academic researchers, and industrial collaborators.
• Develop and optimize internal computational drug discovery pipelines, ensuring efficiency in predictions.
• Manage and preprocess chemical/biological datasets, ensuring data quality and consistency.
• Remaining up to date with state-of-the-art technology and new publications in the field.
• Presenting and communicating results on a regular basis during team or project meetings.

• Master or Ph.D. in health sciences, computational chemistry, computational biology, engineering or a related field with a focus on pharmaceutical research.
• Familiarity with Machine learning, chemoinformatics tools, libraries, and bioinformatics resources.
• Prior experience in computational drug design and pharmaceutical research.
• Strong programming skills in Python, familiarity with Linux and GitHub.
• Excellent communication skills in English, both written and spoken.
• Proven analytical and problem-solving abilities.

• A strategic within an innovative biotech company, where you can have an important impact.
• Contribute to the development of a fast-growing biotech in a young and international environment.
• Working in an environment where equipment is at the cutting edge of technology.
• An attractive package in line with the position responsibilities.

PaHRtners