NEC OncoImmunity AS is looking for a Machine Learning Engineer

Who are we?

NEC OncoImmunity AS is a bioinformatics company offering proprietary machine-learning based software that predicts immunogenic neoantigens for personalized cancer immunotherapy and infectious diseases, such as COVID-19.

We are dedicated to developing scalable software solutions that facilitate effective patient selection for cancer immunotherapy, and identifying optimal neoantigen targets for truly personalized cancer vaccines & cell therapies in a clinically actionable time frame.

Our growing international team (16 countries and counting!) consists of a diverse mix of data scientists, bioinformaticians, immunologists, cancer researchers, and software engineers.

NEC OncoImmunity AS is a subsidiary of the NEC Corporation, with offices in the Oslo Science Park building in Oslo, Norway.

Job description

We are looking for an experienced ML/Software engineer to strengthen our Data Science team.

In this position, you will: 

• Design, develop, and implement best practice machine learning and data engineering techniques for both new and existing data processing/ML pipelines.
• Develop and improve software frameworks and their architecture that integrate with AI applications in personalized cancer and infectious diseases.
• Write clean code, perform code reviews, testing, and deployment to ship quality code to production.
• Maintain, improve and re-design existing code base.
• Bring perspective of expertise and innovation to the team.
• Collaborate with data scientists, bioinformaticians, and software and ML engineers to develop reliable and robust solutions.

Your profile: 

• Located/willing to relocate to Oslo, Norway.
• Working remotely if located in Norway or Germany is also a possibility.
• Higher education engineering degree, e.g. IT/Computer Science, or equivalent combination of education and professional experience.
• Several years of experience with building ML and ETL/ELT data pipelines.
• Several years of experience with the Python programming language and its environment.
• Experience with integrating machine learning frameworks, such as Tensorflow, Keras, scikit-learn, or similar.
• Dedicated to developing clean, maintainable, scalable and robust software.
• Experience or interest in learning about molecular biology, bioinformatics and similar fields.
• Experience with working in Unix/Linux environments.
• Experience with cloud platforms such as GCP is an advantage.
• Experience with GPU/TPU computation for ML/DL is an advantage.

What we offer

• An exciting working environment at the forefront of AI-driven, personalized cancer immunotherapy and infectious disease research.  
• A highly diverse and interdisciplinary team. 
• A budget for the hardware and accessories of your choice to get the work done. 
• A learning budget you can spend on conferences in order to stay up to date on the latest developments in the field, as well as expand your knowledge. 
• Flexible working hours in a hybrid work environment.
• Social and team-building activities. 
• Negotiable salary based on your level of experience. 
• Responsibility and possibilities for further professional development.

How to apply

Tells us why you`re interested in working with us by clicking "Søk her". Please include your CV and application letter.