Bioinformatics Analyst II, Human Disease Ontology - (200000E2)
The University of Maryland, Baltimore (UMB), Institute for Genome Sciences (IGS) has an excellent opportunity for a highly motivated, collaborative and experienced biocuration scientist that is interested in big data management and tackling complex disease classification as part of the Human Disease Ontology project ( http://www.disease-ontology.org ). In this position, you will be an essential project member who will identify genetic, phenotype, symptom, cell of origin and environmental trigger data in a systematic manner with curated data entered into the Human Disease Ontology for bi-monthly data releases. You will work in a small team of professionals including Ph.D. biologists, ontology developers and software engineers, to coordinate and integrate data from model organism databases, cancer variant resources, genetic disease authoritative resources and literature for complex and environmental diseases.
The successful candidate must be able to learn and work independently, yet collaborate well with coworkers. The successful candidate will have extensive biological knowledge, including familiarity with human disease, controlled vocabularies and ontologies to described biological concepts. Excellent verbal and written communication skills are essential in order to assess and evaluate quality control of disease datasets, human disease etiology and literature curation relevant to cancer, genetic, complex and environmental diseases and providing feedback to the scientific community and to contribute website content, FAQs, tutorials and publications.
UMB offers a generous benefits package, which includes 22 vacation days, 14 floating and holidays, 15 sick days; comprehensive health insurance and retirement options; and tuition remission for employees and their dependents at any of the University System of Maryland schools.
Contribute to genomic research projects and scientific analysis of the data generated by those projects using a variety of database and software applications. Generate, annotate, gather or analyze data and prepare for further analysis, and research.
Following established procedures or specific scientific protocols, add value to data generated by genome sequencing projects through assembly, annotation, curation, and quality assurance.
Perform preliminary analysis of genomic data and format for use by other analysts or scientists.
Integrate and analyze data from genome sequencing projects, functional genomics analysis, and other school of medicine research projects.
Organize genomic data with other relevant data types into databases, displays, or graphic presentations for publication and web presentation.
Participate in community outreach and training.
Perform biomedical ontology development and curation.
Collect and analyze information from peer-reviewed scientific journals and through direct submissions.
Abstract data into the required format, and verify them for accuracy.
Curate, analyze, manage and harmonize large data sets and ensure data quality.
Standardize disease data to biomedical controlled vocabularies and classifications.
Expand and adapt biomedical ontologies as needed to capture expanding knowledge.
Ontology community outreach o Collaborate with the Disease Ontology users to answer questions about the contents of the database.
Research new disease terms and provide timely feedback on user requests.
Participate in presentations and demonstrations of the database at conferences and workshops Perform other duties as needed.
Perform other duties as needed.
Education: Bachelors in Life Sciences, including fields, i.e., Biology, medical informatics, computer science, bioinformatics, ontology development or related fields.
Experience: Two (2) years genomic research analysis experience in Windows and UNIX-based operating systems. Experience curating and extracting data from databases, analyzing data, integrating terminologies for biomedical ontology development is preferred.
Other: Master's degree in a related field is preferred and may be substituted for two (2) years of experience.
Knowledge, Skills and Abilities:
Skill in data mining, biomedical databases and data integration.
Ability to understand scientific literature, experimental procedures, disease etiology and nomenclature, their limitations and current needs of the research community.
Knowledge of standard classifications and vocabularies: ICD-10, SNOMED-CT, UMLS, NCI thesaurus.
Protege and UNIX experience is strongly preferred.
Detail-oriented with strong organizational, analytical and communication skills.
Strong written and oral English communication skills.
Hiring Range: Commensurate with education and experience
If accommodations are needed for a disability, please contact Staffing & Career Services at 410-706-2606, Monday - Friday, 8:30am - 4:30pm EST. Maryland Relay can be accessed by dialing 711 (in-state) or 1-800-735-2258.
UMB is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.
Job: Reg or CII Exempt Staff - E3317F
Employee Class : Exempt Regular
Full Time/Part Time: Full-Time
Shift: Day Job
Financial Disclosure: No
Organization: School of Medicine - Institute of Genome Sciences
Job Posting: Sep 25, 2020
Unposting Date: Ongoing
Internal Number: 149781
About University of Maryland, Baltimore
The University of Maryland, Baltimore (UMB) is the State's public health, law and human services university devoted to excellence in professional and graduate education, research, patient care, and public service. As a diverse community of outstanding faculty, staff and students, and using state-of-the-art technological support, we educate leaders in health care delivery, biomedical science, global health, social work and the law. We emphasize interdisciplinary education and research in an atmosphere that explicitly values civility, diversity, collaboration, teamwork and accountability. By conducting internationally recognized research to cure disease and to improve the health, social functioning and just treatment of the people we serve, we foster economic development in the City, State, and nation. We are committed to ensuring that the knowledge we generate provides maximum benefit to society and directly enhances our various communities.