Senior Data Scientist - ODS Kubatko

at  Nationwide Childrens Hospital

Overview:
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 an experienced Senior Data Scientist to join our dynamic team. The ideal candidate will have broad data science and analysis experience across biomedical health sciences, contributing to our groundbreaking initiatives.
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:

KNOWLEDGE, SKILLS & ABILITIES: QUALIFICATIONS:

• Master’s degree accompanied by 10-20 years of experience, or a PhD with 3-12 years of experience, is required, with a background in a related field like Biostatistics, Epidemiology, Data Science, Computer Science, or Clinical Informatics.
• Expertise in data manipulation and analysis using R, Python, Java, or similar tools.
• Experience in statistical modeling, machine learning, natural language processing, and geospatial analytics.
• Strong mathematical aptitude, abstract reasoning abilities, and hands-on approach to converting complex theoretical ideas into executable code.
• Demonstrated proficiency in advanced data science methodologies, encompassing a thorough understanding of complex algorithms, data structures, design patterns, and scientific programming and computational analysis expertise.
• Experience in bioinformatics is a plus but not required.

• Develop and implement data science strategies in various domains, including mental and behavioral health, genomics, and translational research.
• Conduct complex data analysis using advanced statistical modeling, machine learning, and big data analytics.
• Adhere to best practices in data science, including meticulous validation, rigorous analysis, and comprehensive documentation of data and algorithms.
• Engage in project management, data wrangling, and supervising junior staff and trainees.
• Mentor junior data scientists, fostering a culture of learning and growth.
• Collaborate effectively with various teams, including clinical, research, and administrative staff, to deliver data-driven solutions.
  Qualifications: