RESPONSIBILITIES

• Gather feedback and requirements to develop and improve existing software systems and tools utilized for the analysis of sequence data generated by various R&D and pilot projects.
• Design and implement analysis pipelines for production style data generated by both single cell genomics and gene synthesis programs.
• Maintain an accurate and detailed description of tools developed.
• Provide interpretation of analyzed data and extract biological insights from the data.
• Generate clear and concise reports on the data analyzed.
• Present technical and analytical status in weekly meetings.

• Design, test, implement and maintain a data management system to support the high-throughput operation of gene and pathway synthesis.
• Follow standard practices for executing version control, testing, and release.
• Implement data-specific user interfaces and data retrieval reports.
• Assist users to resolve database malfunction or data entry errors.
• Communicate regularly with customers and supervisory staff about plans and progress.
• Provide feedbacks of the areas and the existing third-party softwares that can be incorporated into the system.
• Provide updates of progress in the regular meetings.

• Stay current with new sequencing technologies;
• Provide feedback on the improvement of the sample preps, library construction and sequencing procedures;
• Train biologists to use the available data analysis and data management tools.

REQUIREMENTS

• B.S. degree in Computer Science or a related field; or equivalent experience and five years of experience in the database structure and management.
• Experience writing software for analysis of DNA sequence or experimental data.
• Demonstrated proficiency in utilizing assembled genomes, various alignment tools, visualization tools, and other genome interrogation and analysis software.
• Proficiency with programming languages including Perl, C/C++, Java or others in a Unix environment;
• Experience with SQL, Oracle, MySQL and RDBM.
• Strong analytical skills sufficient to troubleshoot discrepancies in data results and make improvement recommendations.
• Strong organizational and record-keeping skills.
• Effective oral and written communication skills as well as interpersonal skills.
• Ability to work independently and as a team member in a diverse team environment.
• Ability to handle multiple tasks in parallel while working on a large number of projects.
• Ability to follow the laboratory safety guidelines.

PREFERENCES

• Knowledge in general molecular biology techniques and the laboratory DNA sequencing technologies and genetics, or related field or equivalent experience preferred.
• Demonstrated knowledge of state-of-the art laboratory automation.
• Familiarity with statistical tools and interpretation of data.

HOW TO APPLY

POLICY