Overview

The Abigail Wexner Research Institute – Office of Data Science (ODS) Join the pioneering team at the Office of Data Science (ODS) at Nationwide Children’s Hospital, where we are at the forefront of pediatric healthcare research innovation. At ODS, we seamlessly integrate a spectrum of data realms—spanning clinical, genomic, biobehavioral, public health, cardiovascular, infectious disease, cancer, and translational research. Leveraging big data, AI, and cloud computing, we're driving transformative breakthroughs in biomedical data science to reshape pediatric healthcare. Our mission is to utilize the power of AI and big data not just to push the boundaries of health research but also to forge new frontiers in diagnostics and treatments, advocate for disease prevention, and champion health equity for all children. As a pivotal member of our team, your expertise will be instrumental in harnessing the data sciences to drive pediatric healthcare innovation. At ODS, you'll be part of a mission that transcends a conventional job—it's an opportunity to significantly impact children's health outcomes nationally. Role Overview: We are seeking a Data Scientist to enhance our dynamic team at the Office of Data Sciences. The ideal candidate should be keen on applying their data science skills within the realm of biomedical health sciences, playing a pivotal role in our groundbreaking projects.

Why Nationwide Children's Hospital?

The moment you walk through our doors, you feel it. When you meet our patient families, you believe it. And when you talk with anyone who works here, you want to be part of it. Welcome to Nationwide Children’s Hospital, Where Passion Meets Purpose.

Here, Diversity, Equity and Inclusion are integrated into our core values and practices. We are passionate about building, sustaining and evolving an inclusive and equitable environment. We are seeking individuals who live these values and want to share their experiences and efforts in support of our collective mission.

We’re 14,000 strong. And it takes every one of us to improve the lives of the kids we care for, and the kids around the world we’ll never meet. Kids who live healthier, fuller lives because of the knowledge we share. We know it takes a Collaborative Culture to deliver on our promise to provide the very best, innovative care and to foster new discoveries, made possible by the most groundbreaking research. Anywhere.

Ask anyone with a Nationwide Children’s badge what they do for a living. They’ll tell you it’s More Than a Job. It’s a calling. It’s a chance to use and grow your talent to make an impact that truly matters. Because here, we exist simply to help children everywhere.

Nationwide Children’s Hospital. A Place to Be Proud.

Responsibilities

What You’ll Do:

• Collaborate on diverse data science projects involving statistical modeling, machine learning, and data analytics in various domains, including mental and behavioral health, genomics, and translational research.
• Utilize tools like Python and R for sophisticated data analysis and manipulation.
• Apply basic principles of data science methodologies, including algorithms and data structures, to solve complex problems.
• Perform data wrangling and preprocessing, ensuring high standards of data quality and consistency across various research initiatives.
• Work on integrating and harmonizing various data sources to enhance research accuracy and utility.
• Uphold data science best practices, ensuring robust validation, analysis, and documentation, while receiving mentorship and guidance.
• Support senior data scientists in pioneering research across the multiple domains of the data sciences, including bioinformatics, biomedical informatics, AI, ML, LLMs, NLP and cloud computing.

Qualifications

Knowledge, Skills & Abilities:

Qualifications:

• Master’s degree in data science, Data Analytics, Information Systems, Clinical Informatics, or Statistics (with a focus on data analysis, machine learning, bioinformatics or similar). Expertise:
• 1 years of experience in data manipulation and analysis.
• Familiarity with statistical modeling, machine learning, and related data science techniques.
• Strong foundational mathematical and analytical skills.
• Effective communication skills, able to collaborate within interdisciplinary teams.
• A strong desire to learn and grow your data science expertise, working in a highly collaborative culture focused on team accomplishments.
• Experience in bioinformatics is a plus but not required.

Qualities:

• A collaborative problem-solver, eager to learn and adapt in a dynamic environment.
• Ability to work collaboratively in a fast-paced, interdisciplinary environment. 
• Exceptional teamwork and communication skills with meticulous attention to detail.
• The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individual so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under his/her supervision.
• EOE M/F/Disability/Vet