Bioinformatics Scientist
Position Summary:
The individual serves the Bioscience Core Lab and Core Labs mission to support research at KAUST and regionally by providing advanced techniques and expertise for standard and custom genomic data analysis.
With the exponential increase in quantity, diversity and complexity of data produced in the Bioscience Core Laboratory there’s a need for trained individuals involved in primary data processing, workflow tracking, data management and data analysis. The role involves as well training and support for users.
The bioinformatics analyst will have solid skilled expertise in bioinformatics analysis tools and the ability to stay ahead of a fast-changing technology. Service-orientation and strong enthusiasm for supporting top research in a highly competitive environment is also required. The person in this role works closely with the team lead, other members of the core unit and the Bioscience Core Lab Director. The laboratory is a core facility and there are interactions with users and discussions about their research projects. The scientist will be responsible for data processing and data management, but will also participate in developments of new analysis tools/training, new workflows, documentation or assessments with the labs, and consultations with users on analysis design and data interpretation. The person in this position must be open to a fast-changing environment, and willing and supportive of alterations. The working environment and mentality at the core lab facility are service- and support-oriented in a cooperative spirit. The Staff Scientist at this level has extensive experience in designing and building pipelines as well as performing daily operations. A positive mindset and a persistent and resilient nature to support the future progress and success of the laboratory is a requirement. In addition the person in this role is expected to fulfill a multitude of other department and university-related tasks.
Major Responsibilities:
• Identifies, designs and executes bioinformatics tasks to meet team goals
• Performs all analysis steps from instrument data to delivered data
• Develops, implements and maintains analysis pipelines to optimize performance and efficiency
• Develops, implements and maintains systems for data management and monitoring tools to support lab workflow optimization
• Ensures data integrity at all data lifecycle stages
• Supports research groups who have limited bioinformatics resources mainly through educational engagement
• Works in collaboration with the lab on assay developments/assessments
• Gives scientific input and advises on experimental design and data analysis
• Supports with trouble-shooting and problem solving.
• Trains users (biologists and bioinformaticians) on primary data quality assessment and end-user analysis tools
• Supports the BCL lab teams with IT equipment and software maintenance
• Stays up-to-date in methodologies and technologies, shares knowledge with other staff
• Other duties as assigned by the Bioinformatics Team Lead and BCL director
Compentencies:
• Full fluency in sequence data analysis tools (Bowtie, Bedtools, Samtools …)
• Expertise in large-scale genomic data analysis such as variant discovery, transcriptomics, epigenomics, genome assembly, metagenomics or population genetics.
• Proficiency in at least one of Python, Perl, or R and bash scripting.
• Substantial experience working in an HPC Unix/Linux environment.
• Hands-on experience in developing data analysis applications and pipelines.
• Solid knowledge of molecular biology from the bioinformatics viewpoint.
• Experience with web development and relational databases is a plus.
• Enthusiastic about developing educational courses and provide training for others
• Ability to work well in a team and collaborate with others.
• Proactive personality and positive mindset
• Good organizational skills. Can follow and write manuals/work procedures.
• Excellent written and oral communication skills.
Qualifications:
• PhD degree in bioinformatics, computational biology or similar field
Apply online at http://apptrkr.com/904589
Position Summary:
The individual serves the Bioscience Core Lab and Core Labs mission to support research at KAUST and regionally by providing advanced techniques and expertise for standard and custom genomic data analysis.
With the exponential increase in quantity, diversity and complexity of data produced in the Bioscience Core Laboratory there’s a need for trained individuals involved in primary data processing, workflow tracking, data management and data analysis. The role involves as well training and support for users.
The bioinformatics analyst will have solid skilled expertise in bioinformatics analysis tools and the ability to stay ahead of a fast-changing technology. Service-orientation and strong enthusiasm for supporting top research in a highly competitive environment is also required. The person in this role works closely with the team lead, other members of the core unit and the Bioscience Core Lab Director. The laboratory is a core facility and there are interactions with users and discussions about their research projects. The scientist will be responsible for data processing and data management, but will also participate in developments of new analysis tools/training, new workflows, documentation or assessments with the labs, and consultations with users on analysis design and data interpretation. The person in this position must be open to a fast-changing environment, and willing and supportive of alterations. The working environment and mentality at the core lab facility are service- and support-oriented in a cooperative spirit. The Staff Scientist at this level has extensive experience in designing and building pipelines as well as performing daily operations. A positive mindset and a persistent and resilient nature to support the future progress and success of the laboratory is a requirement. In addition the person in this role is expected to fulfill a multitude of other department and university-related tasks.
Major Responsibilities:
• Identifies, designs and executes bioinformatics tasks to meet team goals
• Performs all analysis steps from instrument data to delivered data
• Develops, implements and maintains analysis pipelines to optimize performance and efficiency
• Develops, implements and maintains systems for data management and monitoring tools to support lab workflow optimization
• Ensures data integrity at all data lifecycle stages
• Supports research groups who have limited bioinformatics resources mainly through educational engagement
• Works in collaboration with the lab on assay developments/assessments
• Gives scientific input and advises on experimental design and data analysis
• Supports with trouble-shooting and problem solving.
• Trains users (biologists and bioinformaticians) on primary data quality assessment and end-user analysis tools
• Supports the BCL lab teams with IT equipment and software maintenance
• Stays up-to-date in methodologies and technologies, shares knowledge with other staff
• Other duties as assigned by the Bioinformatics Team Lead and BCL director
Compentencies:
• Full fluency in sequence data analysis tools (Bowtie, Bedtools, Samtools …)
• Expertise in large-scale genomic data analysis such as variant discovery, transcriptomics, epigenomics, genome assembly, metagenomics or population genetics.
• Proficiency in at least one of Python, Perl, or R and bash scripting.
• Substantial experience working in an HPC Unix/Linux environment.
• Hands-on experience in developing data analysis applications and pipelines.
• Solid knowledge of molecular biology from the bioinformatics viewpoint.
• Experience with web development and relational databases is a plus.
• Enthusiastic about developing educational courses and provide training for others
• Ability to work well in a team and collaborate with others.
• Proactive personality and positive mindset
• Good organizational skills. Can follow and write manuals/work procedures.
• Excellent written and oral communication skills.
Qualifications:
• PhD degree in bioinformatics, computational biology or similar field
Apply online at http://apptrkr.com/904589