Research Scientist - Machine Learning (all genders)

at  Evotec

In the Global Bioinformatics team at Evotec more than 100 scientists with diverse backgrounds in biology, computer science, mathematics, and biomedicine work on the analysis and interpretation of omics data. Together with our colleagues in the wetlabs we develop and continuously improve our high throughput and high precision omics platforms. In drug discovery projects we work together with scientist from multiple other disciplines in a global organization of more than 5.000 employees across 15 sites. Our tasks include omics data handling and qc, method and software development, and the biological interpretation of analysis results. Our goal is to enable better decisions for medicines that matter.
To support our Bioinformatics team we are looking for a highly motivated
Machine Learning Scientist in Bioinformatics (all genders)
Full-time and permanent
Hybrid working possible
At Evotec, we use supervised ML algorithms and other AI approaches to make use of our vast biomedical datasets. Our aim is to tackle yet unsolved challenges in early drug discovery. Join our steadily growing machine learning team to make a difference in pharmaceutical research for patients.

Your key responsibilities:

• Use your creativity and knowledge of the scientific landscape to adapt ML solutions to yet unsolved challenges
• Design and implement complex machine learning pipelines that elucidate causes of diseases, thus helping to make better diagnoses for patients and enable the development of novel drugs
• Integrate omics data, patient data, and chemical information
• Guide project leads on how and when to use ML solutions, lead own projects, guide and train colleagues
• Be the Subject Matter Expert for machine learning on patient-derived omics data
• Collaborate with colleagues from the bioinformatics team, medical experts, wet lab and computational scientists
• Communicate and present results and their business impact internally and externally

Your ideal qualifications:

• PhD or Master’s degree with strong relation to machine learning (computer science, bioinformatics, or in a related STEM field)
• Several years of industry experience in biotech or pharma
• In-depth experience with classical machine learning models (linear, boosted, tree-based) as well as deep learning models (e.g., FNN, CNN, GNN, autoencoders)
• Good programming skills in Python (e.g., OOP, unit tests, refactoring, readable code, code review)
• Experience in design and training of complex ML pipelines (e.g. validation schemes, advanced hyperparameter search, parallelization)
• Ideally, first experience in research project management without formal line management
• Familiarity with omics data or drug discovery is a strong plus
• Capability to organize yourself and others efficiently and meet deadlines
• Excellent communication skills with ability to interact professionally with all levels of staff, collaborators, and customers
• Fluency in written and spoken English is essential

Our offer:

• A position within a vigorous and exciting professional environment promoted by an open culture and a spirit of community
• A diverse, international workforce with a dynamic working environment that fosters creativity, innovations and teamwork
• Capital forming benefits, flexible working hours, holiday pay, and annual bonus depending on performance

To apply, please click on the “Apply” button and provide your application documents (CV including earliest possible start date and salary requirements). We are looking forward to getting to know you and to your application.
FR : Dans le cadre de sa politique Diversité, Evotec étudie, à compétences égales, toutes les candidatures dont celles des personnes en situation de handicap.
ENG : In the frame of our Diversity policy, Evotec considers, with equal competences, all applications including people with disabilities.

• Use your creativity and knowledge of the scientific landscape to adapt ML solutions to yet unsolved challenges
• Design and implement complex machine learning pipelines that elucidate causes of diseases, thus helping to make better diagnoses for patients and enable the development of novel drugs
• Integrate omics data, patient data, and chemical information
• Guide project leads on how and when to use ML solutions, lead own projects, guide and train colleagues
• Be the Subject Matter Expert for machine learning on patient-derived omics data
• Collaborate with colleagues from the bioinformatics team, medical experts, wet lab and computational scientists
• Communicate and present results and their business impact internally and externall