Direct hire- Data Scientist II, Columbus, OH - Mostly remote
Most Important Skills
- Advanced statistical analysis
- Predictive modeling using python & R
- Mat lab is a plus
Data Scientist II - IS Clinical Innovations Job Description
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.
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.
