Sr. Data Analyst

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.

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:

$77,600.00 - $116,400.00

Responsibilities:

The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and methodological support to surgery faculty conducting clinical, translational, and health services research. This position functions as a shared departmental resource, collaborating with investigators across divisions to strengthen study design, analytic rigor, grant competitiveness, and scholarly dissemination. This role is within the Department of Surgery and supports multiple divisions. The position provides opportunities for scholarly collaboration, co-authorship, and professional development within an academic medical center. The Bioinformatics Analyst II contributes to scholary output and strengthens the biostatistics aspects of research to improve competitiveness of grants and manuscripts. They may participate in additional professional development activities to support their growth.

ESSENTIAL FUNCTIONS

• Advanced BIOSTATISTICS CONSULTING PRE-AWARD Provide biostatistical consultation prior to grant submissions for study design, analysis, and interpretation.

• Complex Statistical ANALYSIS FOR GRANTS AND MANUSCRIPTS Conduct statistical analyses using appropriate and reproducible methods. Advise on data structure, data quality, missing data, and analytic assumptions

• GRANT DEVELOPMENT and Strategic research SUPPORT

  Support grant development (e.g., NIH, society, foundation, industry), including power/sample size calculations and statistical methods sections

• MANUSCRIPT DEVELOPMENT AND REPORTING 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.

• COLLABORATION AND COMMUNICATION: Work closely with research teams to translate biological questions into computational solutions. Present technical progress and challenges clearly to technical and non-technical stakeholders.

• TRAINING AND ADMINSTRATIVE DUTIES Provide statistical guidance to trainees and faculty. Work with the surgery research office to update regarding ongoing activities and future biostatistical needs

MINIMUM EDUCATION & EXPERIENCE

• 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
   

KNOWLEDGE, SKILLS AND ABILITIES

REQUIRED

• 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
• 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
• Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession
• Competency with Python, JAVA, Perl, C++, and Cloud computing

PREFERRED

• Expert knowledge of statistical methods to translate complex data into actionable insights
• Ability to work independently using professional judgement in selecting statistical methods
• 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
• Ability to work collaboratively
• Ability to contribute to grants, peer-reviewed publications, and research demands
• 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

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. 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 characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.