• Implement lightweight ETL processes to wrangle data into more useful forms

• Develop effective solutions for data mining, machine learning and visualization

• Have the capacity to thrive in our fast-paced environment and take ownership of your work.

• Challenge ideas and methods while working together with talented, highly skilled team members.

• Advise researchers in the preparation and execution of their data analysis plans.

• Collaborate with colleagues from Maastricht University and Maastricht University Medical Center.

Basic Qualifications

• A degree in science, engineering, mathematics or fields with a solid foundation in statistics or analytics.

• Strong verbal and written communications skills

• Expertise in using Python and/or R for data analysis

• Experience with machine learning and data mining algorithms

• Have developed creative approaches to analysis and data exploration.

• Understanding of Big Data technologies (Hadoop, Spark)

• Broad interest in scientific research and in the research process

• Willing to acquire new skills and come up with new approaches

• Proven experience in collaborative multidisciplinary teams.

• Have used tools to process large scale, sparse datasets is a plus (e.g. Spark, Hadoop).

• Contributed to open source projects

• Experience with other languages (e.g. Java, Scala, Angular2)

Fixed-term contract: one year.

The position is initially offered for one year. Subject to evaluation and funding, the position is eligible for extension. Salary is competitive, depending on qualifications and work experience. The salary will be set in salary scale 9 of the collective labour agreement of the Dutch Universities (expected minimum € 2.709,- and maximum € 3.722,-) for a full-time job (38 hours/week). On top of this, there is an 8% holiday and an 8.3% year-end allowance.

We offer you a stimulating scientific environment with excellent facilities for professional and personal development.

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 16,500 students and 4,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Humanities and Sciences, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Institute of Data Science @ Maastricht University

The Institute of Data Science (IDS) at Maastricht University is a recently established center led by professor Michel Dumontier. IDS is an interfaculty institute consisting of a core team of data science experts that cooperate closely with researchers across disciplines such as medicine, life sciences, social sciences and humanities, business and economics, knowledge engineering  and smart services. The mission of the Institute is to accelerate scientific discovery, improve clinical care & well-being, and strengthen communities by fostering a collaborative environment for interdisciplinary research and training based on accurate, scalable, and reproducible computation.