Data Scientist II - IS Clinical Innovations

US-OH-Columbus

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Req #: 52294
Type: Full Time
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Nationwide Children's Hospital

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				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.

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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