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Bioinformatics Analyst II

Healthcare AdministrationFull time
✓Requirements
Education
✓Bachelor's degree required in biomedical engineering, mechanical engineering, biomechanics, or materials science preferred
✓Or equivalent combination of education and experience
✓The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better.
Master's degree preferred
Qualifications
✓3 years of relevant experience required
✓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
✓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
✓Competency with Python, JAVA, Perl, C++, and Cloud computing required
✓Ability to handle animal tissues, human cadaveric materials, and other biological specimens in accordance with applicable institutional requirements and approved protocols preferred
Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT preferred
Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis preferred
Experience conducting biomechanical, mechanical, materials, or tissue testing, including experimental planning, specimen preparation, instrument operation, troubleshooting, and quantitative analysis preferred
E xperience with instrument-data interfaces, structured data storage, relational databases or comparable research data systems, and integration of heterogeneous datasets preferred
Demonstrated ability to develop and validate new experimental methods, analytical programs, or research systems through design, testing, implementation, evaluation, and improvement preferred
Demonstrated ability to manage multiple projects, meet milestones, maintain rigorous documentation, and deliver reliable results preferred
Experience providing technical training, coordinating the work of others, and communicating complex methods and findings to collaborators with varied technical backgrounds preferred
Demonstrated proficiency in scientific programming and data visualization using either Python, R, MATLAB, or comparable platforms, including development of automated and reproducible analytical workflows preferred
Experience with statistical programming and data visualization using R/Bioconductor and LLM preferred
Pay for this position
Employer-posted
$78k – $116k/yr
Apply to University of Rochester ↗
Questions about pay or the unit? Ask a Waypoint recruiter.
✓You’ll need
Education
✓Bachelor's degree required in biomedical engineering, mechanical engineering, biomechanics, or materials science preferred
✓Or equivalent combination of education and experience
✓The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better.
Master's degree preferred
Qualifications
✓3 years of relevant experience required
✓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
✓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
✓Competency with Python, JAVA, Perl, C++, and Cloud computing required
✓Ability to handle animal tissues, human cadaveric materials, and other biological specimens in accordance with applicable institutional requirements and approved protocols preferred
Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT preferred
Knowledge of basic statistics, linear model building, principal component analysis, and factor analysis preferred
Experience conducting biomechanical, mechanical, materials, or tissue testing, including experimental planning, specimen preparation, instrument operation, troubleshooting, and quantitative analysis preferred
E xperience with instrument-data interfaces, structured data storage, relational databases or comparable research data systems, and integration of heterogeneous datasets preferred
Demonstrated ability to develop and validate new experimental methods, analytical programs, or research systems through design, testing, implementation, evaluation, and improvement preferred
Demonstrated ability to manage multiple projects, meet milestones, maintain rigorous documentation, and deliver reliable results preferred
Experience providing technical training, coordinating the work of others, and communicating complex methods and findings to collaborators with varied technical backgrounds preferred
Demonstrated proficiency in scientific programming and data visualization using either Python, R, MATLAB, or comparable platforms, including development of automated and reproducible analytical workflows preferred
Experience with statistical programming and data visualization using R/Bioconductor and LLM preferred

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About the role

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.