Bioinformatics Analyst Jobs (NOW HIRING)

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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:

400129 Surgery Research

Work Shift:

UR - Day (United States of America)

Range:

UR URG 113

Compensation Range:

$77,216.00 - $115,824.00

Responsibilities:

Contributes to scientific analysis of data generated by multiple research projects by organizing, overseeing, and directing staff from their own organization. Initiates, monitors, and evaluates progress and scientific value of project and data. Responsible for the quality control of raw data, and assists researchers in analysis of their sequencing data from generation to publication, integrates disparate datasets into regulatory frameworks, and develops workflows for both on premises and cloud processing. Establishes and maintains collaborative relationships with multiple stakeholders within and external to the University. Assists in the creation and dissemination of education materials related to highly technical research.

ESSENTIAL FUNCTIONS

• Analyzes high-throughput sequencing data generated on high-throughput sequencing instruments, including single-cell RNA-seq data and spatial RNA-seq data from experimental approaches. Completes secondary analyses of processed data, including expression profiling, pathway enrichment analysis, and functional annotation, utilizing an extensive working knowledge of linux/unix commands, computer programming languages, and application of open-source software tools.
• Completes development in conjunction with WCI and Center of Integrated Research Computing related to deployment of standard and novel workflows within cloud infrastructure.
• Participates in experimental design and analysis of sequencing projects, including application and development of novel analytical methods to meet each projects research goals, management of project milestones, and integration of multiple genomic data types.
• Provides technical training, supervision, and consultation to GRC Bioinformatics team in conjunction with Bioinformatic Staff Scientist.
• Provides bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments.
• Responsible for storage and maintenance of raw data, including but not limited to, micro array and high-throughput sequence data sets.
• Other duties as assigned.

MINIMUM EDUCATION & EXPERIENCE

• Bachelor's degree and 3 years of relevant experience required
• Master's degree preferred Or equivalent combination of education and experience
• Experience with Azure/AWS or other cloud platform development/deployment required
• Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required
• Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning required

KNOWLEDGE, SKILLS AND ABILITIES

• Proven track record executing multiple work streams and producing consistent results required
• Able to create novel techniques, programs and systems by innovation or by extracting/synthesizing features or elements from other systems, databases and/or programs at all phases inception, design, testing, implementation, evaluation and future progression and development required
• Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession required
• Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT preferred
• Competency with Python, JAVA, Perl, C++, and Cloud computing required
• Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis preferred

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