The Department of Chemistry is looking for senior research engineer in data analysis that would work at the Computational Life Science Cluster. Starting date is 2021-04-01, or as otherwise agreed. Last application date is 2021-02-26.
The Computational Life science Cluster (CLiC) aims to support researchers in understanding complex chemical and biological systems via application and development of advanced data driven and computer based modelling tools and strategies. CLiC is an Umeå node and representative within NBIS (National Bioinformatics Infrastructure Sweden) and the Umeå University data analytics platform focusing at research within the field of analysis of high-level structured and unstructured data. We have a panel of data scientists who offer their expertise to customers via several different types of support packages, as well as via tailored solutions. We are also involved in education of students at different levels, as well as promoting advanced data analytics knowledge in scientific community via invited lectures, webinars, courses, etc. CLiC customers come from Umeå University and SLU research groups and platforms, other universities in Sweden and Europe, as well as from industry.
As a senior research engineer you will be responsible for supporting our customers within advanced data analytics area. Main tasks connected to this position include:
- Analyzing large amounts of data and building data driven and machine learning models
- Working directly with our customers and initiating, leading and driving customer projects
- Performing regular follow up with customers, ensuring projects are on track and discovering additional opportunities
- Training customers within advanced data analytics area
- Supporting other team members with your knowledge and skills
- Creating technical documents, mainly relevant SOPs and project reports
You should be able to develop and cultivate strong relationships with customers, keep strong relationships with external and internal stakeholders, work independently, but also be a good team member and serve as a valuable support for the CLiC Team.
We are looking for you who has a doctoral degree in chemistry, chemometrics, statistics, physics, computer science or relevant subject area.
Demonstrated several year experience in application of advanced data analytics, biostatistics and/or machine learning methods in scientific projects, preferably in field of ‘omics’ analysis, as well as experience in working in interdisciplinary and multicultural groups and in delivering the results of work in both oral and written ways are essential. Good knowledge in English, both written and spoken, is required.
Experience with data science tools and machine learning methods, including scripting, mainly in Python and other languages (MATLAB, C, C++, etc.), as well as experience in experimental planning and data analytics are meritorious.
You have a genuine interest in advanced data analytics and its applications in life science and are well-organized and energetic. You are highly motivated and enjoy working both independently and cooperate with others. Furthermore, you have a good ability in problem solving and communication, you are also creative. Great emphasis is placed both on technical and personal qualities.
Your application should contain a personal letter with motivation for why you are applying for the job, a CV, a copy of the relevant diploma and other relevant certificates/grades as well as names and contact details of at least two reference persons.
Applications must be submitted via our e-recruitment system no later than February 26, 2021.
Terms of employment
The employment is a fixed term for 2 years. The employment will start 2021-04-01, or as by agreement.
For more information please contact Professor Johan Trygg, email@example.com.
The Department of Chemistry is one of the largest departments within the Faculty of Science and Technology with approximately 200 employees, of which approximately 50 doctoral students, and a strong and expanding research. The Department has three major research areas: Biological Chemistry, Environmental and Biogeochemistry, and Technical Chemistry. We are also a strong partner in the KBC, Chemical-Biological Center. Information about the postgraduate education can be found on the Faculty of Science and Technology website:
For more information about working at Umeå University, https://www.umu.se/en/work-with-us/
2021-04-01 or by agreement.
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