Ophthalmology Bioinformatics Core Director

Duties

• Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards).
• Supervise, coach and mentor a high-performing team of analysts.
• Identify, leverage and partner with external firms.
• Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
• Determine additional data collection and reporting requirements.
• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
• Test prototype software and participate in approval and release process for new software.
• Provide documentation based on audit and reporting criteria to investigators and research staff.

Qualifications

• Experience in the generation and analysis of genome-wide datasets, in particular related to the function of transcription factors, promoters and enhancers in a cell-type or pathological state specific manner.
• Experience with RNA-seq, ChIP-seq and similar technologies, both data generation and analysis.
• Education & Experience: Bachelor's degree and five years of relevant experience or combination of education and relevant experience.
• Experience in a quantitative discipline such as economics, finance, statistics or engineering.
• Knowledge, Skills And Abilities: Ability to direct the work of others, for jobs requiring supervision. Relevant subject matter knowledge. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Experience in advanced softward and coding skills for bioinformatics.

Desired Qualifications

• Experience in the generation and analysis of genome-wide datasets, in particular related to the function of transcription factors, promoters and enhancers in a cell-type or pathological state specific manner.
• Experience with RNA-seq, ChIP-seq and similar technologies, both data generation and analysis.

Pay

The expected pay range for this position is $132,498 - $157,989 per annum.

Benefits

Stanford University provides a comprehensive benefits package. Specifics about the rewards package for this position may be discussed during the hiring process. Details can be found on the Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards).