Nationwide Children's Hospital

Data Scientist II - IS Clinical Innovations

Job description

Overview:
R&D division in RISI is looking for motivated individuals who are eager to flex their data analytics muscles to solve intriguing clinical or research problems that may directly or indirectly impact clinical care or operation at Nationwide Children's Hospital. Your work has the potential to have long lasting positive impact to our pediatric patients and help NCH to achieve best outcome in our care delivery. The R&D division of Research Information Solutions and Innovation has a diverse portfolio of clinical informatics research projects ranging from clinical genomics, business data mining, Hadoop and big data analytics, predictive analytics, to social mobile and cloud (SoMoClo) applications. These projects are highly collaborative involving partners in Clinical Informatics, Hospital IS, physicians, researchers, and administrators, both internally and externally. The Data Scientist II position will be part of a team of Data Scientists and Analysts working to organize and analyze large sets of data or complex data sets to discover hidden patterns, trends, and association in support of research, operation, and clinical care at Nationwide Children's Hospital. The candidate must be experienced in leveraging both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least two of the following areas: statistical and predictive analysis, natural language processing, geospatial analysis, and machine learning. The candidate must be able to verbally and visually communicate clearly to all level of stakeholders.
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 16,000 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:
  • Participate in requirement gathering, technical design, and implementation.
  • Provide time estimates and help with project planning.
  • Work both independently and in small teams to develop analytic solutions.
  • Work with both clinical and research data while keeping PHI exposure to a need-only basis.
  • Build analytics pipeline and functionality, best practice for statistical, predictive, NLP, geospatial analysis, and machine learning.
  • Share knowledge and be a good team player.
  • Mentor Data Scientist I
  • Performs other duties as assigned by manager.
Qualifications:
KNOWLEDGE, SKILLS AND ABILITIES REQUIRED
  • Candidates must possess a Master's degree and above in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline.
  • 3+ years scripting language experience or software development experience using Java, Python, and R.
  • 5+ years of data manipulation and analysis using SQL, noSQL, Java, Python, and R etc.
  • 4+ years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geographical information system (GIS).
  • 4+ years experience in working with clinical data.
  • Familiarity in working with big data, real time or near real time data, and big data platforms are strongly preferred.
  • Strong desire to learn and highly collaborative
  • Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts.

MINIMUM PHYSICAL REQUIREMENTS
  • Typing on a keyboard
  • Talking on phone/in person
  • Able to lift up to 50 lbs.
  • Standing/walking

Pressure in this position will vary depending on the workload. The workload will be heavy but manageable most of the time. Pressure may arise in the face of deadlines associated with grants, required documentation related to the physician's OSU faculty appointment, etc.

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

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