Research Data Scientist II
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Job Description
Research Data Scientist utilizing statistical and machine learning techniques at Cleveland Clinic. Building algorithms and performing advanced data analytics to support healthcare solutions.
Responsibilities:
- Utilize statistical and machine learning techniques, high performance data architectures and technologies to build algorithms and perform data analytics.
- 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.
- Interpret research protocols and run statistical analysis.
- Develop and refine machine learning models to support research and data-driven insights.
- Generate charts, graphs and other visualizations to clearly communicate analytical findings.
- Assist with scientific publications by preparing data outputs, figures, and supporting documentation.
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 Master’s degree in a similar field and two years of required experience OR PhD in a similar field
- Highly proficient programming skills in languages such as SAS, SQL, SPSS, R, Python, or similar
- Advanced SQL query writing skills
- Clinical knowledge
- Experience in ML (Machine Learning) – AI (Artificial Intelligence)
- EHR clinical data experience
- Statistical modeling experience
Benefits:
- We know that fully supporting our caregivers is what creates the best outcomes for our patients. Our outstanding, comprehensive offerings are an investment in your health, well-being and future.
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