Research Data Scientist II - Quantitative Health Sciences

Cleveland Clinic

4d • Onsite

About The Position

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives — beginning with our own. That’s the power of the Cleveland Clinic Health System team, and The Power of Every One. Job Details Join Cleveland Clinic’s Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world class and caregivers are family. Here, you will work alongside a passionate and dedicated team, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. The Department of Quantitative Health Sciences is a multidisciplinary team dedicated to improving patient care through translational medical research. As a Research Data Scientist II on our team, you will leverage statistical and machine learning techniques, along with high-performance data architectures, to develop algorithms and perform advanced data analytics. You will apply programming skills in languages such as SAS, SQL, SPSS, R, and Python to efficiently work with relational databases and extract actionable insights, and you will be responsible for epidemiological cohort design using Electronic Health Records (EHRs). A caregiver in this position works days from 8:00 a.m. -- 5:00 p.m.

Requirements

• Bachelor’s degree in statistics, mathematics, computer science, engineering or a related field and four years of experience conducting data analytics, math or statistical modeling or machine learning OR a Master’s degree and two years of experience OR a PhD degree in related field
• Highly proficient programing skills in languages such as SAS, SQL, SPSS, R, Python, or similar
• Familiar with working with medical records
• 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

Nice To Haves

• Master’s degree in a similar field
• PhD in a similar field
• Expertise with common EHR data structures: (UMLS, OMOP, FHIR/HL7)

Responsibilities

• Utilize methods in the areas of Artificial Intelligence (AL), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) to design and implement data solutions.
• Document best practices and solution frameworks.
• Collaborate with team members to develop analytical techniques.
• Utilize programming skills in SAS, SQL, SPSS and R or Python to create and design new reports independently.
• Conduct in-depth data analysis to develop and test hypotheses.
• Provide guidance to other team members on building basic models.
• Communicate and present analytical findings to other investigators.
• Identify innovative technologies available for analytical areas.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees