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Job Location: Cleveland, OH
Cleveland Clinic’s Center for Immunotherapy & Precision Immuno-Oncology is looking to add a Research Data Scientist II to their dedicated team of caregivers. The Center for Immunotherapy & Precision Immuno-Oncology (CITI) is a state-of-the-art center dedicated to immunotherapy research, discovery and developmental therapeutics, with the ultimate goal to make precision immuno-oncology available for every patient. As a Research Data Scientist II, you will utilize statistical and machine learning techniques, high performance data architectures and technologies to build algorithms and perform data analytics, and programing skills, in languages such as SAS, SQL, SPSS, R, Python or similar, to work effectively with relational databases.
The ideal candidate is someone who:
- Has at least four years of experience conducting data analytics, math or statistical modeling or machine learning.
- Demonstrates a strong work ethic.
- Thrives in a team environment.
- Has strong computational skills.
As a Research Data Scientist II, you will work in a dynamic and technologically advanced environment that allows you to discover, learn and grow. You’ll remain professionally challenged as you shape the career of your dreams and find where you belong, here at Cleveland Clinic.
Cleveland Clinic provides what matters most: career growth, delivering world-class care to our patients, continuous learning, exceptional benefits and working for an organization that offers many long-term career paths. Join us and experience a culture where opportunities to advance and the support to get there go hand-in-hand.
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
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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.
Languages:
- Language required
- Language preferred
Certifications:
- None required
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:
- Typical physical demands include a high degree of dexterity to produce materials on a PC, normal or corrected vision, extensive sitting and frequent walking, occasional lifting or carrying 5 to 15 pounds.
Personal Protective Equipment:
- Follows standard precautions using personal protective equipment.
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