Sr Bioinformatics Analyst

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Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400088 Pediatrics M&D Neonatology

Work Shift:

Range:

UR URG 114

Compensation Range:

$86,482.00 - $129,723.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

The Genomics Research Center (GRC) and Wilmot Cancer Institute (WCI) within the University of Rochester are seeking a highly trained, motivated, and passionate Lead Bioinformatics Analyst to join a collaborative Bioinformatics group providing applied bioinformatics analytical support to research scientists utilizing high-throughput sequencing and other data types for their research. The ideal candidate should have a solid foundation in molecular biology, genomics, and bioinformatics as well as be able to communicate and work with a diverse research team. Specifically, the applicant will work under direct supervision of the Director of the GRC to quality control raw data, assist researchers in analysis of their sequencing data from generation to publication, integrate disparate datasets into regulatory frameworks, and develop workflows for both on premises and cloud processing. A significant focus will be on integrative single-cell and spatial-omic analyses. The applicant will work with faculty members both within WCI and the greater medical center to lead, assist, or advise analysis efforts on a wide range of projects. Additionally, the applicant will assist in the creation and dissemination of education materials related to genomics research. The GRC provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, highly automated analytical pipelines and integration with high-throughput sequencing infrastructure to aid in experimental design and execution for delivery of high-quality results for highly competitive projects. This position is located in Rochester, NY and located within the Wilmot Cancer Institute. This position will report directly to the Director of the Genomics Research Center and will operate with minimal supervision.

Responsibilities

GENERAL PURPOSE:

The Steiner laboratory studies the transcriptional and epigenetic control of erythropoiesis. The Bioinformatics analyst would be responsible for analyzing CUT&RUN, CUT&TAG, ATAC-seq, RNA-seq and other high throughput genomics assays. They would assist in the generation and analysis of sequencing data from experimental planning to publication and would work closely with Dr. Steiner and her laboratory and to lead analysis efforts on a wide range of projects. They would also support education related to bioinformatics research for students in the Steiner laboratory. Experience with wet bench preparation of high throughput genomics experiments is preferred but not required.

JOB DUTIES AND RESPONSIBILITIES:

- Responsible for the generation and management of data from high-throughput sequencing (HTS) projects and other projects that generate and complement data. Perform custom and complex Next Generation Sequencing analyses. This will include active collaborations with faculty, bioinformaticians, and at our institution and others. This includes mentorship of students in the Steiner lab learning bioinformatic analyses

- Proactively identify and evaluate new software for analysis of data to maintain professional knowledge of current trends and developments in the field and incorporate new methodology seamless into Steiner lab workflows. Assist with maintenance of Steiner lab server.

- Assist in the design and execution of high throughput sequencing experiments. Address project specific questions regarding analyses or experimental design, as they emerge.

- Attend Steiner lab meeting, chromatin club, and joint hematopoiesis meetings, participate in discussions, and be included in the rotation of speakers that present data or journal articles.

Other duties as assigned.

QUALIFICATIONS:

- Bachelor's degree in a related discipline such as Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, Mathematics, Statistics, Biology, Chemistry required.

- Master's or Doctoral degree preferred.

- 2 years of related experience; or an equivalent combination of education and experience required.

- Hands-on experience with managing and analyzing large datasets (e.g., NGS data) required.

- Programming expertise includes proficiency with Linux/UNIX systems and using R/Bioconductor and Python for informatic data analysis required.

- Experience with data analysis for bioinformatic datasets required.

- Experience with developing bioinformatics software or R/Bioconductor packages, and building Graphical User Interfaces (GUIs) for non- bioinformatics users is desirable required.

- Skill in organizing and analyzing large datasets required.

- Ability to recognize, analyze, and solve a variety of problems required.

- Ability to exercise sound judgment in making critical decisions required.

- Outstanding oral and written communication skills; knowledge of, and experience with writing peer-reviewed publications preferred.

- Attention to detail, strong organizational skills, and documented ability for high-level multitasking preferred.

EOE Minorities / Females / Protected Veterans / Disabled:

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University’s mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law.  This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.