The West Virginia Clinical & Translational Science Institute (WVCTSI) at West Virginia University Research Corporation is seeking applications for a (Hybrid) Data Scientist.

About the Opportunity

This position resides within following WVCTSI core: Biostatistics, Epidemiology, and Research Design (BERD). This position will assist WVCTSI Biomedical Informatics Resources group with analyzing data, modeling, and developing machine learning (ML) and artificial intelligence (AI) algorithms for various projects. Incumbent will assist with data wrangling as well. This position reports to the Senior Data Scientist. Position will be responsible for writing code in Python and/or R, interpreting and reporting results, and preparing journal manuscripts.

The incumbent will follow data management standards, procedures, and documentation using knowledge of the healthcare regulatory environment to ensure conformance to internal and external policies, protocols, and regulations such as HIPAA. Responsibilities require some judgment, resourcefulness, and originality, but diverse guides and precedents are usually available to apply or adapt to the circumstances. Work effort has considerable impact on client services, program and project image, with potential legal liabilities.

This is a hybrid position. The standard WVCTSI hybrid schedule is three days a week in the office, two days a week working remotely. Schedule flexibility may be discussed with supervisor.

At WVU Research Corporation, we strongly believe in work-life balance and keeping time for things we love outside our work. WVU Research Corporation offers a comprehensive benefits package with a variety of options to suit your needs:

• 13 paid holidays ()
• PTO
• 403(b) retirement savings with a fully vested 3% employee contribution match, (Employees have the option of contributing an additional 1-3% of their earnings to the plan, which is also matched by the WVURC)
• A range of
• Dependent Education Scholarship
• WVU Perks
• And More!!

What you do:

• Develop, evaluate, and deploy ML algorithms for different projects.
• Apply creative and strategic thinking to identify problems, solutions, and potential alternative approaches.
• Maintain expertise in Python, R, and other data science tools as needed.
• Prepare reports and journal manuscripts.
• Contribute to the design of research.
• Manage multiple complex projects simultaneously.
• Work closely with clinicians, clinician scientists and researchers in order to map and support their operational needs.
• Collaborate with data scientists, system architects, software architects, design analysts, and others to understand business or industry requirements.
• Maintain security and confidentiality of patient information.

• Master's degree in machine learning, computer science, statistics, or other related field or an equivalent combination of education and experience.
• A minimum of two (2) years of experience with data science applications.
• Expertise in developing predictive models.
• Expertise in Python libraries or data science R packages is required.
• Expertise in data analytic programming and scripting.
• Ability to demonstrate expertise in querying and cleansing large datasets.
• Ability to create abstracts, posters, presentations, manuscripts, and other forms of disseminating research results.
• Knowledge of database management systems (SQL preferred)
• Expertise in at least one data visualization software (Tableau, PowerBI, Qlik, Shiny) or data science code base equivalents (R, Python, Julia, etc).
• Must be able to perform in an independent manner with minimal supervision.
• Must be able to present and explain complex findings at various technical and non-technical levels of the organization.
• Must have strong analytical problem-solving skills.
• Must have effective time management skills at meeting deadlines.
• Must be able to speak effectively before groups of customers or employees of the organization.
• Must be able to write routine reports and correspondence.
• Must have knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar, and the ability to communicate clearly.
• Must maintains skills in, or knowledge of, professional principles, legal and/or reporting requirements affecting area of responsibility.
• Must be able to deal with problems involving several concrete variables in standardized situations.

Preferred Qualifications:

• PhD in machine learning, computer science, or related field preferred.
• Experience developing and deploying AI/ML models in practice.
• Experience with deep learning packages (PyTorch, Tensorflow).
• Demonstrated experience with electronic health records data.
• Published peer-reviewed research papers in related field.
• Knowledge of image processing algorithms.
• Expertise in SQL.
• Familiarity with WVCTSI.

The WVURC was created as a not-for-profit corporation in 1985 to support research (R1) at West Virginia University. We provide evaluation, development, patenting, management, and marketing services for inventions of the faculty, staff and students of the University.

The WVURC receives and administers funds awarded by external agencies for research and other activities and is responsible for helping protect intellectual property through patents, copyrights and licensing agreements for start-up companies based on University research.

Creating an inclusive, engaged, and dynamic environment is core to WVURC's mission. We welcome candidates who can contribute a range of ideas, approaches and experiences.

West Virginia University Research Corporation is proud to be an Equal Opportunity employer. We value diversity among its employees and invites applications from all qualified applicants regardless of race, ethnicity, color, religion, gender identity, sexual orientation, age, nationality, genetics, disability, or Veteran status.