The University of Iowa - Iowa City, IA

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Percent Time: 100% Type of Position Regular: A position which is considered essential for the effective long-term operation of the university. Persons appointed to this position will receive the privileges and benefits associated with regular employment status. Duties:
Identify and develop complex analytical procedures to address the needs in the management, design and execution of molecular diagnostic testing, with responsibility for the completeness, accuracy, and adequacy of all aspects of clinical test development including target/analyte selection, testing methodology/instrument platform, validation study design and execution, data gathering and reporting (including clinical standard operation procedures), and training of clinical lab staff in the proper performance of clinical tests.

Primary work schedule will be Monday-Friday, first shift (8:00 AM - 4:30 PM). Education Required:
A Master’s degree in a physical science or an equivalent combination of education and experience is required. Experience Required:
Considerable (5-7 years) directly related (e.g., biomedical or biological) laboratory experience is required.

Excellent written and verbal communication skills are required.

Must be proficient in basic computer software applications such as MS Office (Word, Excel, PowerPoint), internet-based literature search and retrieval of information, basic nucleic acid and protein analysis tools, sequence analysis applications (e.g., Mutation Surveyor, Softgenetics, etc.) and statistical applications.

Desirable Qualifications:
A Doctoral degree in the biomedical, biological, or computational/computer sciences is highly desirable.

Reasonable (3 or more years) of experience in molecular genetic applications, including the preparation and analysis of nucleic acids by multiple techniques.

Prior experience in testing and analysis of human genomic information is highly desirable (e.g., aCGH or expression microarrays, next-generation DNA sequencing, and associated bioinformatics).

Demonstrated competence with computerized data collection and statistical analysis for assay validation is highly desirable.

Contribution to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.

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