Employment Information
Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world As a Data Scientist II, your role will support the new IBM CCF Discovery Accelerator program, which is breaking ground in accelerating discovery in research Your primary duties will include, but are not limited to:
- Utilizing statistical and machine learning techniques, high-performance data architectures and technologies to address moderate business problems and analyze large, unstructured data sets.
- Assisting the Senior/Lead Data Scientist or Project Lead on advanced analytic requests.
- Providing guidance and insight into the daily operations of various departments.
The ideal candidate is someone who:
- Has experience processing imaging and machine learning.
- Demonstrates a strong work ethic.
- Thrives in a team environment.
- Has experience in data mining.
This is an excellent opportunity to discover Cleveland Clinic Institute, enhance your skills and grow your career. This position offers a hybrid work environment. We have many mentorship opportunities. Work will take place at main campus (NA2), and remote. At Cleveland Clinic, we know what matters most. That’s why we treat our caregivers as if they are our own family, and we are always creating ways to be there for you. Here, you’ll find that we offer: resources to learn and grow, a fulfilling career for everyone, and comprehensive benefits that invest in your health, your physical and mental well-being and your future. When you join Cleveland Clinic, you’ll be part of a supportive caregiver family that will be united in shared values and purpose to fulfill our promise of being the best place to receive care and the best place to work in healthcare.
Responsibilities:
- Utilizes methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.
- Documents best practices and solution frameworks
- Collaborates with team members to develop to analytical techniques
- Leverages ML an AI technology working directly with data to define analytics
- Utilizes programming skills in SAS, SQL, SPSS and R or Python to create and design new reports independently.
- Conducts in-depth data analysis to develop and test hypotheses
- Provides guidance to other team members on building basic models.
- Communicates and presents analytical findings to other investigators.
- Identifies new technologies available for analytical area.
- Other duties as assigned.
Education:
- Bachelor’s degree in Statistics, Mathematics Computer Science, Engineering or related field.
- Master’s in similar fields strongly preferred.
- PhD in similar fields is preferred.
Complexity of Work:
- Requires critical thinking skills, decisive judgment, and the ability to work with minimal supervision.
- Must be able to work in a stressful environment and take appropriate action.
Work Experience:
- Must possess a minimum of 4 years of experience conducting data analytics, math or statistical modeling or machine learning.
- Highly proficient with programing skills in languages such as SAS, SQL, SPSS, R, Python, r similar.
- Master’s degree can offset 2 years of experience
- PhD degrees in related fields may offset the experience requirement
Physical Requirements:
- Ability to perform work in a stationary position for extended periods
- Ability to operate a computer and other office equipment
- Ability to communicate and exchange accurate information
- In some locations, ability to move up to 15 pounds
Personal Protective Equipment:
Follows standard precautions using personal protective equipment. Pay Range
Minimum hourly: $36.80
Maximum hourly: $56.13
The pay range displayed on this job posting reflects the anticipated range for new hires. While the pay range is displayed as an hourly rate, Cleveland Clinic recruiters will clarify whether the compensation is hourly or salary. A successful candidate’s actual compensation will be determined after taking factors into consideration such as the candidate’s work history, experience, skill set, and education. This is not inclusive of the value of Cleveland Clinic’s benefits package, which includes among other benefits, healthcare/dental/vision and retirement.
The policy of Cleveland Clinic Health System and its system hospitals (Cleveland Clinic Health System) is to provide equal opportunity to all of our caregivers and applicants for employment in our tobacco free and drug free environment. All offers of employment are followed by testing for controlled substance and nicotine. All new caregivers must clear a nicotine test within their 90-day new hire period. Candidates for employment who are impacted by Cleveland Clinic Health System’s Smoking Policy will be permitted to reapply for open positions after one year. Cleveland Clinic Health System administers an influenza prevention program. You will be required to comply with this program, which will include obtaining an influenza vaccination on an annual basis or obtaining an approved exemption.
Decisions concerning employment, transfers and promotions are made upon the basis of the best qualified candidate without regard to color, race, religion, national origin, age, sex, sexual orientation, marital status, ancestry, status as a disabled or Vietnam era veteran or any other characteristic protected by law. Information provided on this application may be shared with any Cleveland Clinic Health System facility.
Please review the Equal Employment Opportunity poster
Cleveland Clinic Health System is pleased to be an equal employment employer: Women / Minorities / Veterans / Individuals with Disabilities
Share this
Similar jobs from Cleveland Clinic
Similar medium level jobs
Join our newsletter to get monthly updates on data science jobs.
