Data Engineer / Scientist in iCAN Digital Precision Cancer Medicine

University of Helsinki

Finland

 

HiLIFE is a life science institute at the University of Helsinki established in 2017 supporting high quality research across campuses and life science faculties. HiLIFE builds on existing strengths and new recruits and partnerships to create an attractive international environment for solving grand challenges in health, nutrition, and environment. HiLIFE coordinates research infrastructures in life sciences and provides research-based interdisciplinary training.


We are currently seeking a

Data Engineer/Scientist

to join the iCAN Digital Precision Cancer Medicine project. iCAN is an innovative multidisciplinary initiative that brings together some of the world’s leading actors in cancer genomics, translational and clinical cancer research, digital health, information technology, machine learning, patients and business to solve one of the most pressing challenges in healthcare – cancer.


As a Data Engineer/Scientist, depending on your profile and experience, you will have the opportunity to
- Build the iCAN data analysis platform to enable integration of clinical and research data
- Coordinate with iCAN partners to drive state-of-the-art biomedical research and translation of research results into clinical practice
- Develop computational pipelines, service APIs and dashboards to transform clinical data into analysis-ready data for clinicians and data analysts
- Design best practices how to organize and manage complex, heterogeneous data in clinical and research settings
- Implement international harmonization of data sources, pipelines and analytical methods
- Be a part of revolutionizing data-driven precision cancer medicine


Qualifications:
- PhD/MSc/BSc degree in computer science or engineering, data science, bioinformatics, computational biology, or a related field
- Proficiency in Python and shell programming
- Understanding of database fundamentals
- Excellent oral and written communication skills in English; Finnish skills will be considered an asset but are not required
- Ability to work as a part of an interdisciplinary team
- Knowledge of Azure Cloud tools will be considered an asset
- We appreciate previous work experience in data engineering or science, but we also welcome applications from recent graduates and students - a great opportunity to grow into a data engineer/scientist!


The salary will be commensurate with qualifications based on the Finnish university salary (YPJ) system on previous qualifications, experience and performance in the position. The contract will be offered for two years, and may be extended. A six-month trial period will be applied.


To apply, please submit the application together with your CV and a cover letter highlighting relevant experience through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal.

Applications are welcomed as soon as possible - the call will be open until 15th of March, and may be extended until hiring decision is made.

For further information please visit https://www.digitalprecisioncancermedicine.fi or contact Dr. Esa Pitkänen (esa.pitkanen@helsinki.fi).

Due date

15.03.2020 23:59 EET


In your application, please refer to Professorpositions.com

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