RESPONSIBILITIES

• Data Architecture: Implement data architecture best practices. Communicate with scientists to answer questions, troubleshoot problems and develop appropriate strategies to store, access, share, and curate datasets.
• Data Governance: Determine optimal storage environments and retention policies for scientific data, advise and collaborate with infrastructure colleagues in implementing, tuning and monitoring systems supporting scientific data lifecycle.
• Data Management: Integrate scientific data lifecycle resources with laboratory equipment, such as DNA sequencers and microscopes.
• Data Integration: Acquire and update data from internal or web resources (TCGA, UCSC Genome Browser, 1000Genomes, dbGaP, etc.), document system changes, write and maintain documentation for end users.
• Lead Research IT efforts in designing and implementing integrations between enterprise scientific applications and laboratory informatics systems such as LIMS, SDMS and ELN.

REQUIREMENTS

• The ideal candidate will have a PhD in life/natural sciences with at least 3 years' experience in genomic technologies, or an equivalent combination of proven education, training, knowledge, and/or experience at a research-intensive organization.
• Expertise with Unix/Linux systems, shell scripting, C/C++ programming, Python/Perl, and other relevant tools
• Genomics background; hands-on experience with a broad spectrum of genomics and bioinformatics applications and next-generation sequence data collection, processing, and analysis
• Proficient with design and use of modern relational/non-relational databases
• Excellent oral and written communication and presentation skills
• Able to work independently, and as part of a team
• Strong analytical and problem-solving skills
• Develop and maintain effective working relationship with researchers at all levels.

HOW TO APPLY