BACKGROUND:
Organizational Summary:
The Health Informatics Institute (HII) is comprised of approximately 150 members consisting of biostatisticians and bioinformaticians; epidemiologists; software, data, and systems engineers; solution and data architects; laboratory and clinical research administrators; and administrative staff. Established in 2004 as the Pediatric Epidemiology center, the annual budget of the institute currently exceeds $50 million, primarily in NIH funding. Faculty areas of expertise include biostatistics applied to pre-clinical, clinical, observational, and population health research; biomedical and clinical informatics; and statistical genetics and genomics. Members are engaged in research focused on the prevention of diabetes and other autoimmune diseases, cancer prevention and control, genetic disorders, and an expanding list of rare diseases.

The primary mission of the HII is to establish and maintain expertise in biomedical science, statistics, clinical trial and study design and coordination, software and data engineering, big data and high performance computing, and integrative bioinformatics. This expertise is leveraged to act as an integrative force in bringing together clinical and biological data with results from diverse fields, applications, and enterprises. In doing so, we endeavor to support the investigation of disease etiology, prevention, and treatment in a comprehensive and transdisciplinary fashion.

Ongoing functions of the HII in support of this mission include the following: (a) to coordinate and conduct clinical trials and health services research, including protocol development, oversight and monitoring of clinical centers, and interaction with sponsors; (b) to design, develop, and maintain applications, complex databases (structured and unstructured), analysis data warehouses, and data governance policies that accommodate the full data lifecycle needs of clinical research; (c) to provide and maintain comprehensive and customized reporting services for clinical operations; (d) to provide scientific guidance to investigators on research study design, statistical methodology, and data management, data analysis, and data interpretation; (e) to collaborate with research laboratories and analytical partners in the design, development, evaluation, implementation, and maintenance of analysis software pipelines; and (f) to offer a suite of data sharing platforms and interfaces.

Position Summary:
The Data Engineer will interact with a diverse staff of scientists, statisticians, engineers, and administrators in the development of datasets, reports, and systems supporting research efforts at the HII. As a part of the Data Engineering team, the Data Engineer's efforts will span the data lifecycle with an emphasis on ETL, warehousing, reporting, cleaning, and sharing of data. The Data Engineer will utilize their expertise to manage data from a variety of sources including relational and unstructured/NoSQL databases and satisfy stakeholders from statisticians and scientists to clinical operations staff, sponsors, and regulatory agencies.

RESPONSIBILITIES:

• Interact directly with faculty and operations staff to learn study objectives and develop project requirements.
• Interface effectively with laboratories, analytical partners, regulatory agencies, etc. in execution of projects.
• Assist in new data acquisition and exploration.
• Develop and implement complex data manipulations for checking data completeness and accuracy.
• Develop programs to extract subsets and summaries from a variety of sources, including large and complex databases (structured and unstructured; Big Data).
• Develop analysis programs and reports to monitor data accrual and quality.
• Develop complex systems for ensuring data integrity, in-house data monitoring and study status reports, and clinical trial database systems.
• Apply best practices to the design, development, implementation, and maintenance of programs.
• Adhere to policies and procedures related to data governance.
• Efficiently coordinate activities with other team members.
• Comply with the creation of standard operating procedures.
• Ensure analysis data and programming code integrity and reliability.
• Proactively inform management of the status of deliverables, timelines, accomplishments, and issues experienced and remediated on projects.
• Develop and maintain domain knowledge of complex and expansive enterprise applications.
• Develop and maintain requisite expertise for ongoing and future institutional data management demands.

REQUIREMENTS:
Minimum Qualifications:
Bachelor's degree in an information technology, quantitative, scientific, or related field with two years of experience in related positions; or Master's degree in an information technology, quantitative, scientific, or related field; or SAS expertise which includes reporting, graphics, macros, and data step programming; or expertise with one or more other programming languages, familiarity and/or experience with SAS, and strong desire to learn SAS programming, appropriate college coursework, technical training, or industry certifications may substitute at an equivalent rate for the required experience.

Preferred Qualifications:
Master's degree in an information technology, quantitative, scientific, or related field. SAS expertise which includes reporting, graphics, macros, and data step programming. Previous experience with applications programming and reporting within healthcare or clinical research, biostatistics and/or bioinformatics, one or more programming languages in addition to SAS, Big Data concepts and implementation including applications, analytics, and systems, relational databases.

Special Skills:
Candidate should have attention to detail, strong interpersonal communication skills, excellent analytical and critical thinking skills, excellent written and verbal communication skills, flexibility and creativity in delivering on stated objectives, ability to effectively organize and manage multiple assignments with challenging timelines, ability to adapt and adjust to changing priorities.

LOCALE:
Florida, United States

COMPENSATION:
Salary Plan: Administrative
Hiring Salary/Salary Range: $50,000 - negotiable

HOW TO APPLY:
Apply online at http://www.usf.edu by completing the required information and attaching your cover letter and resume. Please include your experience as it relates to the qualifications stated above. YOUR COVER LETTER AND RESUME, PLUS ANY OTHER REQUESTED MATERIAL, MUST BE IN ONE ATTACHMENT. Only online applications are accepted for this position.

Apply Here: http://www.Click2Apply.net/pbd4vp9

Dept Number/Name: 0-6119-000 / Department of Pediatrics
College/Division: USF Health/Morsani College of Medicine
Job Code/Title: 9570 / Data Engineer
Position Number: 00022104

DEADLINE:
09/10/2014

POLICY:
This position is subject to a criminal background check.

USF is an equal opportunity, equal access academic institution that embraces diversity in the workplace.