Informatics and Health Data Science- Research Asst. Professor

The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University's research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University's reputation as a leader in the field.

CORE JOB FUNCTIONS

Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary., The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science.

Ph.D., M.D. or other doctoral level degree relevant field, Minimum 1 year of relevant experience

Knowledge, Skills and Attitudes:

• Skill in collecting, organizing, and analyzing data.
• Ability to recognize, analyze, and solve a variety of problems.
• Ability to exercise sound judgment in making critical decisions., Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes.

An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged.

We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology.

Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.

This role collaborates with researchers to develop high throughput data processing and analysis capability.

Directs and guides database searches and the computational analysis of resulting data.

May assist in grant and other funding applications, as necessary and appropriate.

Demonstrated ability to function as part of a team. Performs other responsibilities as required.

This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding., PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects' datasets)., Depth Perception

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