Product Owner (SRA Bioinformatics Team)

Job Responsibilities

• Lead team through a complete product lifecycle of discovery to delivery
• Lead data analysis and user research efforts and utilize findings in the development of product requirements and to inform objective decision making
• Develop product vision, goals, and strategic roadmaps and lead the execution
• Prioritize product team actions and provide clear guidance to create incremental value in an Agile environment
• Develop partnerships and collaborations with internal and external stakeholders to improve data usability and impact

Required Skills/Experience

• Doctorate level degree in bioinformatics, molecular biology, computational biology, data science, computer science, information technology, or a similar field
• Conceptual knowledge of genomics, molecular biology, and computational biology
• Practical knowledge of bioinformatics, bioinformatic tools, and the application of genomic sequencing data to biomedical and other scientific use cases
• Experience leading teams, setting team goals, prioritizing work based on available information and stakeholder needs, and utilizing metrics to measure success
• Experience providing an effective work environment
• The ability to troubleshoot technical and staffing roadblocks and mitigate risks
• Experience in diplomatically resolving conflicting priorities from multiple user groups, technical stakeholders
• Excellent communication skills, including verbal, written, and presentation skills
• Strong interpersonal engagement, networking, and collaboration skills

Desired Skills/Experience

• Experience working with SRA or similar sequence databases and applying next generation sequencing data to biological problems
• Experience serving in the capacity of post-doctorate Investigator, Product Owner or Product Manager experience
• Familiarity and commitment to FAIR data practices
• Familiarity or experience working in an Agile environment
• Familiarity with data storage and/or processing in commercial cloud platforms like AWS or GCP
• Working familiarity with one or more scripting languages
• Working familiarity with large SQL databases
• Familiarity with CI/CD pipelines, unit tests, integration, and regression testing