Research Data Analyst 1

Summary

Case Western Reserve University is committed to advancing research in cardiovascular health through data analytics. The Research Data Analyst 1 will manage and apply advanced machine learning techniques to analyze health data, contributing to precision medicine research initiatives.

Responsibilities

• Manage the development and application of advanced machine learning approaches to delineate the health impact of interventions in both experimental and human trials. Create and manage predictive models using health information and imaging datasets to predict risk and response to therapy. Collect, clean, and preprocess data from various sources to ensure its quality and relevance for analysis (25%)
• Manage intelligent integration of patients profiles to delineate susceptibility to coronary heart disease. Collect, preprocess, and analyze data to train and evaluate machine learning models. Utilize data visualization techniques to effectively communicate complex findings and recommendations to stakeholders. Participate in the development and deployment of data analytics platforms and tool (25%)
• Utilize novel multiomic platforms to predict risk in animal models. Collaborate with data scientists, software engineers, and IT teams to ensure seamless integration of machine learning solutions into existing infrastructure. Run predictive and prescriptive analytics models to leverage past historical data to see trends, patterns, and anomalies, predict future ramifications if those trends continue and identify the best next steps. (25%)
• Apply advanced statistical and machine learning techniques to analyze large datasets and extract actionable insights related to Disease pathways in animal models relevant to humans. Collaborate with cross-functional teams including engineers, architects, and project managers to identify data-driven solutions and optimize processes. Develop and implement predictive models, algorithms, and data-driven decision-making tools. (20%)
• Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to identify opportunities for innovation and improvement within the organization. (5%)
• Perform other duties as assigned. (1%)

Skills

• Bachelor of Science required with knowledge and experience with R and other related data visualization software in a health environment
• 0 to 1 year of experience
• Strong background in one or more areas of machine learning (Bayesian networks, neural networks, Markov Models, convolutional networks etc.)
• Exposure to computational and/or systems biology including Multiomics
• Good/strong organization skills; ability to multi-task, prioritize and meet deadlines
• Must demonstrate attention to detail and accuracy, time management skills, and follow-through
• Excellent customer service skills: ability to maintain effective working relationships and address the potential and current needs of clinic
• Ability to train, work with, and elicit cooperation from students and co-workers
• Ability to work effectively independently and collaboratively within a team
• Ability to work with sensitive information and maintain confidentiality
• Effective problem-solving skills; must demonstrate sound judgment and good decision-making
• Must demonstrate flexibility and ability to work under pressure; must be able and willing to work in a fast-paced, changing environment, and conform to shifting priorities, demands and timeline
• Must demonstrate willingness to learn new techniques, procedures, processes, and computer programs as needed
• Demonstrated history of successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest
• Ability to meet consistent attendance
• Ability to interact with colleagues, supervisors, and customers face to face

Qualifications

Must Haves

• Bachelor of Science required with knowledge and experience with R and other related data visualization software in a health environment
• 0 to 1 year of experience
• Strong background in one or more areas of machine learning (Bayesian networks, neural networks, Markov Models, convolutional networks etc.)
• Exposure to computational and/or systems biology including Multiomics
• Good/strong organization skills; ability to multi-task, prioritize and meet deadlines
• Must demonstrate attention to detail and accuracy, time management skills, and follow-through
• Excellent customer service skills: ability to maintain effective working relationships and address the potential and current needs of clinic
• Ability to train, work with, and elicit cooperation from students and co-workers
• Ability to work effectively independently and collaboratively within a team
• Ability to work with sensitive information and maintain confidentiality
• Effective problem-solving skills; must demonstrate sound judgment and good decision-making
• Must demonstrate flexibility and ability to work under pressure; must be able and willing to work in a fast-paced, changing environment, and conform to shifting priorities, demands and timeline
• Must demonstrate willingness to learn new techniques, procedures, processes, and computer programs as needed
• Demonstrated history of successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest
• Ability to meet consistent attendance
• Ability to interact with colleagues, supervisors, and customers face to face

Benefits

• Excellent healthcare
• Retirement plans
• Tuition assistance
• Paid time off
• Winter recess