www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Research assistant in data science for molecular bioengineering
Institution: Universität Basel
Location: Basel, Switzerland
Duties: The Nash Lab invites applications for a research assistant position in the area of data science applied to molecular bioengineering. The successful candidate will be responsible for the development of software tools and bioinformatic workflows to assist in the analysis, visualization and interpretation of large-scale DNA sequencing and protein structural data to unveil sequence-structure-function relationships in complex artificial proteins
Requirements: Candidates should have a strong technical background in scientific computing, data science, or analysis of big data with a completed BSc or MSc degree (or equivalent) in a relevant field. The position will suit someone with an interest in software engineering, big data, and statistical learning. Experience and knowledge of biological systems or protein engineering methodology is a plus. Proficiency in written and spoken English is required. We encourage applications from curious, driven and hard-working personalities with strong social skills and team spirit
   
Text: Research assistant in data science for molecular bioengineering (50-100%) The Lab for Molecular Engineering of Synthetic Systems (Prof. Michael Nash; https://nash.chemie.unibas.ch/en/ ) focuses on single-molecule methods for biological analysis and high-throughput screening for directed evolution. The group is jointly affiliated with the University of Basel (Physical Chemistry) and ETH Zurich (Dept. of Biosystems Science and Engineering in Basel, Switzerland). We are recruiting a part time or full time (50-100%) research assistant in data science applied to molecular bioengineering. Your position The Nash Lab invites applications for a research assistant position in the area of data science applied to molecular bioengineering. The successful candidate will be responsible for the development of software tools and bioinformatic workflows to assist in the analysis, visualization and interpretation of large-scale DNA sequencing and protein structural data to unveil sequence-structure-function relationships in complex artificial proteins. Your profile Candidates should have a strong technical background in scientific computing, data science, or analysis of big data with a completed BSc or MSc degree (or equivalent) in a relevant field. The position will suit someone with an interest in software engineering, big data, and statistical learning. Experience and knowledge of biological systems or protein engineering methodology is a plus. Proficiency in written and spoken English is required. We encourage applications from curious, driven and hard-working personalities with strong social skills and team spirit. We offer you A vibrant international research environment An exciting interdisciplinary research project A stimulating and supportive research team Access to state-of-the-art techniques and infrastructure Conditions of employment based on the regulations of the University of Basel The initial appointment will be for 12 months with possibility for extension. Transition to a position as a matriculated PhD student following initial success in the position is possible. Both part time (> 50%) and full time (100%) working arrangements are possible with a flexible starting date. Application / Contact To apply please send a cover letter, curriculum vitae, copies of University diploma, and contact information for 2-3 references to Dr. Rosario Vanella ( r.vanella@unibas.ch ) by November 1, 2021. www.unibas.ch
Please click here, if the job didn't load correctly.
Your browser does not support iframes. Please click <a href="https://www.acad.jobs/job.php?t_id=J000352700&redirect" target="_parent" style="color:#7A7A7A">here</a>, if the job didn't load correctly.