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Mayo Clinic
Mayo Clinic

Nonprofit medical center

Data Science Analyst - Limited Tenure (Lab Medicine & Pathology)

직무데이터 사이언스
경력미들급
위치Rochester, Mongolia, United States
근무오피스 출근
고용정규직
게시1주 전
지원하기

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.

Benefits Highlights

  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

Path Assist is a cutting-edge initiative at Mayo Clinic that uses artificial intelligence to democratize diagnostic expertise in pathology. By leveraging Mayo’s vast data ecosystem—including millions of whole slide images, laboratory information system data, and clinical notes—the project aims to develop an AI-driven tool that recommends optimal diagnostic stains and molecular tests using principles of information theory.

The Data Science Analyst will play a key role in developing, training, and validating advanced multimodal AI models that integrate digital pathology, clinical text, and population health data. This role involves hands-on data curation, probabilistic and self-supervised model development, statistical performance evaluation, and interdisciplinary collaboration with physicians and scientists in computational pathology and informatics. Ideal candidates combine strong programming and analytical skills with curiosity about medical AI, digital pathology, and the future of diagnostic decision support.

May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.

Other responsibilities:

  • Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
  • Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
  • Executes analytical procedures in the framework of a specific project work request.
  • Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
  • Contributes to the interpretation of data analysis and to writing reports.
  • Helps customers understand the data set and provide training and suggestions for improvement on the data request.
  • Leverages communication and interpersonal skills and works with subject matter experts
  • Presents findings in easy-to-understand terms for the business or clinical practice.

Note: As a hybrid role, this work arrangement/on-site expectations are determined by the supervisor and will be discussed during the interview The employee is required to live within commutable distance to their assigned Mayo Clinic site.

Qualifications

A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.

The preferred candidate will possess a master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g., machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills, and a commitment to customer service. Experience with data modeling and data exploration tools.

Note: Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.Exemption Status

Exempt

Compensation Detail

$99,070.40 - $148,616.00 / year; Education, experience and tenure will be considered along with internal equity when job offers are extended.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday – Friday, business hours for one year from start date. On-site expectations are determined by the supervisor and will be discussed during the interview. Employee is required to live within commutable distance to their assigned Mayo Clinic site.

Weekend Schedule

N/A

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.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter

Stephanie Baird

전체 조회수

1

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Mayo Clinic 소개

Mayo Clinic

Mayo Clinic Health System is a system of community-based medical facilities. It is owned by Mayo Clinic and was founded in 1992. The organization focuses on providing medical care in rural communities in Minnesota, Iowa, and Wisconsin.

10,001+

직원 수

Rochester

본사 위치

리뷰

10개 리뷰

4.2

10개 리뷰

워라밸

3.2

보상

4.1

문화

4.4

커리어

3.1

경영진

4.3

78%

지인 추천률

장점

Supportive management and leadership

Strong team culture and teamwork

Excellent health benefits and retirement plans

단점

High workload and stress during peak times

Long and unpredictable work hours

Limited advancement opportunities

연봉 정보

38개 데이터

Junior/L3

Junior/L3 · ASSOCIATE DATA SCIENCE ANALYST

2개 리포트

$111

총 연봉

기본급

$85,085

주식

-

보너스

-

$102

$111

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

100%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

System Design

Culture Fit