Job ID: 13583
Job date: 2017-10-14
End Date:
Company : Children s Hospital of Philadelphia Country : Role : Research Scientist
Job date: 2017-10-14
End Date:
Company : Children s Hospital of Philadelphia Country : Role : Research Scientist
Job Description:
The Mitochondrial Medicine Frontier Program at The Children’s Hospital of Philadelphia immediately seeks to recruit a dedicated bioinformatics scientist to join our expanding clinical-research program as a Data Integration Analyst. The CHOP Mitochondrial Medicine Frontier Center aims to become the premiere center in the world to provide integrated multidisciplinary clinical care, advance diagnostics and therapeutics, and individualize basic, translational, and clinical research programs to improve the health of patients of all ages living with mitochondrial disease. A Data Integration Analyst is needed to work closely with the clinical-research team to build data systems that efficient integrate and allow ready interrogation of medical, genomic, and clinical research data as a means to support development of precision medicine for mitochondrial disease. In addition, the Data Integration Analysis will assist with algorithm development to aid in the diagnosis of primary mitochondrial respiratory chain diseases. This position would require mining clinical data from the electronic medical record (EMR) and lab information systems, as well as build data integration and mining systems for clinical and clinical trial purposes. Ideal applicants will have demonstrated experience with data mining and supervised machine learning, be able to work with clinical data systems across the institution, have superior communication skills to work closely with a multi-disciplinary team, be flexible and creative, and have a strong work ethic. A two to three year commitment is preferred. Job Responsibilities:
Additional Info:
Shift: Days Employment Status: AF - Active - Regular - Full Time [Click Here to Access the Original Job Post]
The Mitochondrial Medicine Frontier Program at The Children’s Hospital of Philadelphia immediately seeks to recruit a dedicated bioinformatics scientist to join our expanding clinical-research program as a Data Integration Analyst. The CHOP Mitochondrial Medicine Frontier Center aims to become the premiere center in the world to provide integrated multidisciplinary clinical care, advance diagnostics and therapeutics, and individualize basic, translational, and clinical research programs to improve the health of patients of all ages living with mitochondrial disease. A Data Integration Analyst is needed to work closely with the clinical-research team to build data systems that efficient integrate and allow ready interrogation of medical, genomic, and clinical research data as a means to support development of precision medicine for mitochondrial disease. In addition, the Data Integration Analysis will assist with algorithm development to aid in the diagnosis of primary mitochondrial respiratory chain diseases. This position would require mining clinical data from the electronic medical record (EMR) and lab information systems, as well as build data integration and mining systems for clinical and clinical trial purposes. Ideal applicants will have demonstrated experience with data mining and supervised machine learning, be able to work with clinical data systems across the institution, have superior communication skills to work closely with a multi-disciplinary team, be flexible and creative, and have a strong work ethic. A two to three year commitment is preferred. Job Responsibilities:
- Collaborate with biomedical researchers to identify and analyze scientific problems that require integration of disparate, highly dimensional data types such as clinical and genomic data.
- Quickly acquire biomedical domain knowledge in order to understand requirements for data integration, optimizing data resources and applications to meet scientific needs.
- Create requirements for complex data integration and application development projects, and translate requirements into deliverables.
- Develop and implement innovative data models that represent complex biomedical data types in usable and accessible schema.
- Write extract, transform, and load (ETL) procedures that combine and recombine biomedical data into new, more useful formats.
- Build and optimize scientific data management, data discovery, reporting, and analysis applications using a combination of off-the-shelf and custom tools.
- Manage small projects and subprojects within larger initiatives, identifying, tracking, and reporting on tasks and deliverables against project timelines.
Required Education and Experience
Required Education: Bachelors in Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline. Required Experience: Zero to five years of experience in database development, database administration, data management, or related discipline, preferably in a biomedical science or healthcare environment.Preferred Education, Experience & Cert/Lic
Preferred Experience:- Experience with source code management, continuous integration, containerization, and automated testing tools and processes is preferred.
- Project management experience preferred.
- Previous experience in data modeling, ETL, and applications of highly dimensional data types such as derived from genomics and observational clinical or human subjects research data preferred.
- Must exhibit excellent oral, presentation, and written communication skills.
- Working knowledge of SQL.
- Working knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle.
- Working knowledge of one or more of the following preferred: Python/Django, JavaScript/HTML (as used in Single Page Applications), Java, Scala.
- Working knowledge of biomedical or healthcare data standards such as HL7, ICD, CPT, SNOMED preferred.
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Additional Info:
Shift: Days Employment Status: AF - Active - Regular - Full Time [Click Here to Access the Original Job Post]