Position:
- Associate Data Science Analyst
Company:
- Mayo Clinic
Location:
- Rochester, MN
Job Type:
- Full-Time
Job Mode:
- On-Site
Job Requisition ID:
- 348348
Years of Experience:
- 0-3 years
Company Description:
- Mayo Clinic is a globally renowned healthcare institution, consistently recognized as a leader in medical care and research. According to U.S. News & World Report, Mayo Clinic ranks among the top providers across multiple specialties, making it a trusted name in healthcare excellence.
- With a patient-centric approach, Mayo Clinic prioritizes delivering high-quality care while maintaining a strong commitment to its employees. It fosters a positive work environment where innovation, diversity, and inclusion are celebrated.
- The organization provides employees with competitive compensation packages and a range of benefits designed to promote financial, physical, and emotional well-being. From robust healthcare options to retirement plans, Mayo Clinic ensures its workforce has the resources needed for a secure and fulfilling career.
- Mayo Clinic operates across three main campuses—Rochester, MN; Phoenix/Scottsdale, AZ; and Jacksonville, FL—as well as within the Mayo Clinic Health System, which serves communities across the Midwest. Employees enjoy a thriving professional and personal experience supported by Mayo Clinic’s inclusive, innovative culture.
Profile Overview:
- The Associate Data Science Analyst role focuses on utilizing data science techniques to analyze, interpret, and provide actionable insights. Working closely with senior data analysts and data scientists, the candidate will support various data-driven initiatives within the cardiovascular medicine department.
- The position involves applying analytical skills to identify patterns, create visualizations, and extract meaningful insights from structured and unstructured datasets. The role also requires hands-on technical skills, including querying databases, modifying scripts, and applying statistical methods.
- As an entry-level position, the candidate will contribute to ongoing projects under the mentorship of senior team members. Responsibilities range from supporting business-critical analytics to presenting findings in ways that are accessible to stakeholders.
- The role emphasizes learning and growth, providing opportunities to collaborate with subject matter experts, develop predictive models, and stay updated on healthcare trends. The ideal candidate will have foundational knowledge in Python, SQL, and AI applications, along with strong communication and problem-solving skills.
Responsibilities:
Data Analysis & Insight Generation:
- Apply fundamental data analysis techniques to gather, process, and interpret data from a variety of sources.
- Assist in identifying patterns, trends, and correlations within datasets to solve business problems.
- Support senior analysts in descriptive analytics, data mining, and statistical modeling.
Technical Support & Data Engineering:
- Write and modify scripts to facilitate data extraction, transformation, and analysis processes.
- Work with relational databases and data query tools to manage and retrieve datasets.
- Use programming skills in Python, SQL, and relevant libraries (e.g., pandas) to conduct analysis.
Visualization & Reporting:
- Design and create data visualizations, dashboards, and reports to present findings clearly.
- Contribute to making complex datasets accessible and understandable for stakeholders.
- Provide actionable insights by interpreting results and highlighting key observations.
Collaboration & Communication:
- Work under close supervision of senior team members to complete project-specific tasks.
- Collaborate with subject matter experts to understand business problems and data requirements.
- Effectively communicate results and recommendations to both technical and non-technical audiences.
Learning & Development:
- Stay current with emerging trends in healthcare analytics, data science methods, and enterprise changes.
- Develop a deeper understanding of data science techniques such as machine learning and predictive analytics.
- Continuously improve time management, problem-solving, and technical skills to enhance job performance.
Qualifications:
Required:
- Bachelor’s degree in any analytical or quantitative discipline such as:
- Data Science
- Computer Science
- Engineering
- Mathematics
- Statistics
- Physics
- Health Science
- Proficiency in problem-solving methodologies, analytical techniques, and continuous improvement frameworks.
- Basic understanding of statistical tools, data modeling, and machine learning concepts.
Preferred:
- Hands-on experience with:
- Python programming language
- SQL for data extraction and management
- Python libraries such as pandas for data manipulation
- Strong organizational skills to handle multiple tasks and deadlines efficiently.
- Experience working with Artificial Intelligence (AI) tools and frameworks.
- Ability to develop and interpret predictive models to address real-world business challenges.
Additional Skills:
- Demonstrated commitment to providing excellent customer service and collaborating effectively within teams.
- Strong interpersonal communication skills to present findings clearly to diverse audiences.
- Time management capabilities to complete tasks efficiently under tight deadlines.
Additional Info:
Work Schedule:
- Full-Time: 80 hours per pay period
- Monday through Friday, regular daytime hours
Compensation:
- Annual salary range: $74,859 to $112,195, based on education, experience, and internal equity.
- This position is eligible for Mayo Clinic’s competitive benefits package.
Benefits Highlights:
- Medical: Multiple healthcare plan options with comprehensive coverage.
- Dental: Coverage through Delta Dental or flexible reimbursement accounts.
- Vision: Affordable vision plans with access to a national provider network.
- Pre-Tax Savings: Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) for eligible medical expenses.
- Retirement: Competitive retirement savings options designed to ensure financial security for the future.
Work Environment:
- On-Site work location: Rochester, MN.
- This role is part of the cardiovascular medicine department and will require regular, in-person collaboration.
- Opportunities to collaborate with a diverse team of professionals within a supportive environment that encourages innovation and inclusion.
About Mayo Clinic Campuses:
- Mayo Clinic has three major campuses located in:
- Rochester, Minnesota
- Phoenix/Scottsdale, Arizona
- Jacksonville, Florida
- Employees also serve in Mayo Clinic Health System locations across the Midwest and internationally.
Why Join Mayo Clinic?
- Mayo Clinic offers unmatched opportunities for career growth, learning, and innovation. Employees are supported through:
- Continuing Education: Access to training programs, mentorship, and skill development resources.
- Inclusive Culture: A work environment that celebrates diversity and prioritizes equity.
- Competitive Benefits: Packages designed to meet both short- and long-term financial, health, and personal needs.
- Cutting-Edge Innovation: Exposure to healthcare advancements and data science applications within a top-ranked medical institution.
- Mayo Clinic stands as an Affirmative Action and Equal Opportunity Employer. It is dedicated to creating an inclusive, non-discriminatory workplace where everyone can thrive.
Equal Opportunity Commitment:
- Mayo Clinic actively encourages individuals from all backgrounds, including:
- Women
- Minorities
- Veterans
- LGBTQ+ communities
- People with disabilities
- Reasonable accommodations are provided to ensure accessibility to job openings and the application process.
Recruiter:
- Jill Squier
Please click here to apply.
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