Job Description
Job ID
12467
Location
Case Main Campus
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Description
POSITION OBJECTIVE
Working under general supervision, the Advanced Data Analytics Research Analyst serves as a specialized role in the Cardiovascular Research Institute managing multiomic platforms using enabling Artificial Intelligence (AI) and machine learning approaches as part of a precision medicine research program. The analyst will manage the development and application of advanced machine learning approaches to delineate the health impact of interventions in both experimental and human trials.
The institute is engaged in the integration of large-scale biological datasets to address gaps in knowledge between genomic and environmentally mediated risk. The lab is on the cutting edge of discovery and has interests in the interface of genomic and environmental factors that modulate risk for future heart disease. The laboratory leverages several unique data sets including cutting edge imaging science juxtaposed with environmental variables that monitor the environment to develop next general approaches for personalized medicine. The resources that the lab leverages include the Center for Advanced Heart and Vascular care (CAHVC) is a futuristic academic-corporate partnership with Siemens and Medtronic to develop the next generation of innovative technologies that combine imaging with intervention guided by robotics and artificial intelligence.
ESSENTIAL FUNCTIONS
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%)
NONESSENTIAL FUNCTIONS
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. (
CONTACTS
Departmental: Regular contact with research collaborators and principal investigators to provide information and to receive instruction.
University: Occasional contact with other departments within the university to provide information and gather instruction
External: Limited external contacts.
Students: Occasional contact with students to provide information and instruction.
SUPERVISORY RESPONSIBILITY
This position has no direct supervision of staff employees.
QUALIFICATIONS
Education/Experience: Bachelor of Science required with knowledge and experience with R and other related data visualization software in a health environment and 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.
REQUIRED SKILLS:
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.
Ability to meet consistent attendance.
Ability to interact with colleagues, supervisors, and customers face to face.
WORKING CONDITIONS:
No hazards or exposures. Sitting in place at computer for long periods of time with extensive and repetitive motion using a computer mouse and keyboard to type.
Hybrid Eligibility
This position is eligible for hybrid work arrangement up to two remote days per week at the discretion of the department. New employees may begin a hybrid schedule upon approval from the supervisor, successful completion of an orientation period and signing the remote work checklist certification form.
Diversity Statement
In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply.
.
Reasonable Accommodations
Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.
.
Case Western Reserve University strives to maintain a diverse and inclusive work environment. All applicants are protected under Federal law from discrimination based on race, color, religion, sex, national origin, disability, age and genetics.
