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Key Responsibilities:
Development of computational pipeline to support research
Communication with researchers to understand biological problems
Facilitate the translation of biological problems to actionable computational analysis plans
Execution of analysis plans and its subsequent interpretation
Generate analysis reports and communicate them to researchers
Management of the collaboration research data to ensure compliance to data policies
Development of computational methods and systems in support of the research activities
Requirements:
A BSc or MSc in Bioinformatics or similar field (Life Science or Computational Science graduates with keen interest in bioinformatics welcomed)
Experience with working with biological data
Good communication skills to communicate with life science/medical researchers to understand biological problems and communicate analytical results
Customer focused approach to collaboration
Ability to understand biological problems and translate them to computational problems
Ability to code in a programming language to solve computational problems
Awareness of computational infrastructure and its upkeep
Ability to work on multiple projects in parallel and set priorities
Willingness to provide training to staff and students in the area of bioinformatics
Keen interest in the field of bioinformatics and willingness to try new methods and improve on existing ones
Job ID: 147423363
Skills:
R, quantitative methods, microsimulation modelling, longitudinal data analysis, Stata
Skills:
Data Cleaning, Data Analysis, community outreach, Collaboration, Data Entry, communication
Skills:
Iot, Data Analysis, plant phenotyping, project management methodologies, Remote Sensing, agritechnology, Electrical Engineering
Skills:
Robot Framework, System Design, Computer Engineering, Team Collaboration, Achieving Kpis, Computer Science, Simulation Software, Installation and Assembly, Technical Report Writing, Sensors, Electrical Engineering, Embedded Systems, Interdisciplinary Research
Skills:
publication , Data Science, Machine Learning, Research, Computer Science, Data Analysis, Writing, Laboratory, Research Skills, Bioinformatics
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