Development Graduate Intern

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

Responsibilities

Interns will utilize statistics and machine learning concepts to solve complex problems in philanthropy. Problem areas include: predictive and prescriptive analytics, pattern recognition, NLP, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization – including sentiment, interests and affinities modeling, and process improvement. The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, visualization, feature engineering, algorithm development, and algorithm deployment into a business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to philanthropy. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position. Candidate needs to have a schedule that accommodates an approximately six-month, full-time internship. Candidate should stay abreast of emerging trends and technologies in data science and contribute innovative ideas to the team.

Qualifications

Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.

The Ideal Candidate Will Possess

• Strong foundation in statistical analysis, machine learning algorithms, and data modeling
• Experience with data visualization tools
• Familiarity with SQL and experience working with databases
• Excellent problem-solving abilities and analytical skills
• Ability to work independently as well as part of a team in a fast-paced environment
• Strong communication skills, with the ability to present complex information to non-technical audiences
  
  

Exemption Status

Nonexempt

Compensation Detail

This position has a predetermined rate of $25.00 per hour. Candidate needs to have a schedule that accommodates an approximately 6-month, full-time internship. This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position.

Benefits Eligible

No

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday - Friday, Business Hours

Weekend Schedule

Not Applicable

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Affirmative Action and Equal Opportunity Employer

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

Recruiter

Julie Melton