Ophthalmology Bioinformatics Core Director

Ophthalmology Bioinformatics Core Director at Stanford University summary:

The Ophthalmology Bioinformatics Core Director at Stanford University leads bioinformatics projects related to genome-wide datasets in vision research, collaborating with faculty and managing data acquisition, analysis, and publication. The role involves supervising a team, ensuring data accuracy and regulatory compliance, and developing reports, statistical analyses, and software testing. Candidates should have extensive experience with RNA-seq, ChIP-seq, and other omics technologies as well as strong leadership and analytical skills.

There is an open position at Stanford University in the Department of Ophthalmology for a bioinformatician with expertise in the analysis of genome-wide datasets related to gene expression. While reporting directly to the Chairman Dr. Jeffrey L. Goldberg, the position will collaborate with faculty in the Department who are performing projects in the field of Vision Research requiring bioinformatics expertise. The incumbent will contribute to project design, acquisition of data, interpretation, and publication of “-omics” datasets.

The competitive applicant will have published research based upon RNA-seq, ChIP-seq, Hi-C, and other state- of-the-art technologies. There will be opportunities to train students and fellows in the use of these technologies.

Duties include:

· 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. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.

· Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.

· Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation 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.

* - Other duties may also be assigned

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

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

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.

EDUCATION & EXPERIENCE (REQUIRED):

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

(REQUIRED):

· Ability to direct the work of others, for jobs requiring supervision.

·…