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POST-DOCTORAL FELLOW

Department of Biomedical Informatics
University of Arkansas for Medical Sciences

 

The University of Arkansas for Medical Sciences (UAMS) in Little Rock is the only academic health sciences university in the state of Arkansas. We are the state’s largest public employer, with more than 10,000 employees in 73 of Arkansas’ 75 counties. UAMS, with its intersection of education, research, and clinical programs, brings a unique capacity to lead the health care improvement in Arkansas. Among its assets for leadership are its status as the only academic health center in the state, its statewide network of centers for public education and clinical outreach, its emphasis on population health, and its leadership in health informatics and statewide information technology. In addition, UAMS has a unique capacity for translational research — speeding the rate at which research can inform clinical care and health improvement.

UAMS’ Department of Biomedical Informatics
The Department of Biomedical Informatics is a vivid environment for research. It hosts multiple NIH/NCI funded projects and provides biomedical informatics insights to the entire UAMS community. The expertise and research interests of DBMI faculty covers multiple key disciplines of Biomedical Informatics, such as Imaging Informatics, Bioinformatics, Clinical and Clinical Research Informatics, and Semantic Web Technologies in the Life Sciences.

Job Summary
The Department of Biomedical Informatics at the University of Arkansas for Medical Sciences seeks a post-doctoral fellow for research on methodologies of Semantic Web Technology in biomedical research.

The fellowship position is funded for 2 years. The successful candidate will be working in the BOAR (Biomedical Ontologies ARkansas) group under the mentorship of Dr. Mathias Brochhausen, an expert in Semantic Web Technologies in the Life Sciences, in particular Biomedical Ontologies. The successful candidate is expected to conceive and finish a research project that fits with their own goals and the BOAR group’s mission. BOAR is aiming at providing better information of healthcare and research data by providing and consuming semantic information. With three faculty affiliated with the group BOAR provides a vivid research environment and multiple opportunities for publications and collaboration on NIH or NSF grant proposals. The candidate will be a part of a dynamic team working on both providing OWL representations and consuming OWL ontologies to optimize the integration of biomedical data.

Qualifications

  • PhD in Computer Science, Biomedical Informatics, Bioinformatics or a related field.
  • Experience in conducted research projects (including publishing results).
  • Strong programming experience in languages frequently used in scientific computing, especially for computing with ontologies (Java, Scala, functional languages) and managing or converting scientific data (e.g., Python).
  • Experience with Semantic Web Technologies (RDF, SPARQL, OWL, etc.) is an advantage.
  • Experience programming with OWL API.
  • Experience with Description Logic semantics, ontologies and modeling (ideally OWL ontologies) is helpful but not required.
  • Domain knowledge in medical research or public health is helpful but not required.

How to apply: To apply please submit a letter of interest and CV, together with the names and contact information of three academic references, to Dr. Mathias Brochhausen mbrochhausen@uams.edu (to whom inquiries should be directed). The position will remain open until filled. The University of Arkansas for Medical Sciences a is an Equal Opportunity Employer.

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