Bioinformatics Analyst II

Responsibilities

• Provide biostatistical consultation prior to grant submissions for study design, analysis, and interpretation.
• Conduct statistical analyses using appropriate and reproducible methods. Advise on data structure, data quality, missing data, and analytic assumptions.
• Support grant development (e.g., NIH, society, foundation, industry), including power/sample size calculations and statistical methods sections.
• Contribute to manuscripts, including statistical methods, results, tables, and figures; participate as a co-author when appropriate. Ensure compliance with institutional, regulatory, and reporting standards.
• Work closely with research teams to translate biological questions into computational solutions. Present technical progress and challenges clearly to technical and non-technical stakeholders.
• Collaborate with trainees and faculty to provide statistical guidance.

Requirements

• Advanced BIOSTATISTICS CONSULTING PRE-AWARD
• Complex Statistical ANALYSIS FOR GRANTS AND MANUSCRIPTS
• Grant DEVELOPMENT and Strategic research SUPPORT
• MANUSCRIPT DEVELOPMENT AND REPORTING
• COLLABORATION AND COMMUNICATION
• TRAINING AND ADMINSTRATIVE DUTIES

Qualifications

• Bachelor’s degree required
• Master’s or Advanced Degree (PhD in Biostatistics, Statistics, Data Science, or a related quantitative discipline) preferred
• 3 years of relevant experience required
• Experience working in an academic medical center and with NIH-funded research preferred or equivalent combination of education and experience

Skills

• Experience with Azure/AWS or other cloud platform development/deployment
• Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming
• Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning
• Proven track record executing multiple work streams and producing consistent results
• Ability 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
• Expert knowledge of statistical methods to translate complex data into actionable insights
• Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner
• Strong problem-solving skills with a strategic mindset
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Strong understanding of statistical analysis and predictive modeling
• Able to work independently using professional judgement in selecting statistical methods
• Strong organizational skills
• Proficiency in coding ability (R, SAS, Stata) for data processing and analysis, Advanced statistical analysis, or similar statistical software
• Familiarity with clinical research and bringing advanced analysis to different research faculty
• Data engineering, programming, scientific data management, statistical methods for scientific and clinical research
• Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT

Benefits

The University of Rochester offers a comprehensive benefits package including health insurance, retirement plans, and paid time off.

Pay

$77,216.00 - $115,824.00

Schedule

Full time