University of Utah Bioinformatics Data Analyst I in Salt Lake City, Utah
Open Date 09/23/2020
Requisition Number PRN24369B
Job Title Bioinformatics Data Analyst I
Working Title Bioinformatics Data Analyst I
Job Grade F
FLSA Code Administrative
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Work Schedule Summary
VP Area U of U Health - Academics
Department 00952 - Division of Epidemiology
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range 47600 to 79699
Open Until Filled Yes
Would you like to take what you’ve learned and make a real difference in people’s lives? Would you like to be on a team that supports breakthroughs in health and technology – precision medicine, pharmacogenomics, big data? Would you like an opportunity to work with government, academia, and industry partners analyzing topics like effectiveness of molecular diagnostic testing and prediction of adverse events? As a bonus – do you enjoy the outdoors or skiing the greatest snow on earth? If so, come join us! We are a team of dedicated professionals using advanced analytics and informatics tools to perform health services and outcomes research.
Our team is at the intersection of many complimenting disciplines – including informatics, epidemiology, data science, and biostatistics. Our partners bring together diverse opinions, theories, and expectations that provoke innovative approaches to problems. The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a highly motivated, independent Bioinformatics Data Analyst to join our dynamic, fast-paced collaborative research team. The individual will join an established, progressive team of innovators conducting research within the University of Utah and for the Department of Veterans Affairs, which has one of the largest electronic medical record databases in the world.
A successful candidate will collaborate and conduct health outcomes and health service research using electronic medical records. She or he will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. This individual will work both independently and assist researchers in the field of Computational Linguistics, Natural Language Processing ( NLP ), Machine Learning (ML), and Informational Retrieval (IR) to analyze, extract, and interpret healthcare data from multiple environments across the nation and evaluate or create new data analysis and data management tools. The selected candidate will collaborate within a research team completing all aspects of a project through study design, regulatory approvals, project management, statistical analysis, as well as interpretation and dissemination of results. The research team combines the best of traditional epidemiologic methods along with advanced analytics and informatics methods in creative, cross-disciplinary activities. We subscribe to the philosophy of open data science and look to build upon the work of others and make our work as transparent and community-driven as possible. This includes the use of standards, open source software, and community-driven common data models.
Consider joining our team – The University of Utah is one of the top employers in the State and the benefit package is exceptional!
•Using data science to synthesize unstructured, disjointed information in to meaningful, compelling narratives that facilitate development and refinement of the health system strategy.
•Performing electronic medical record data analysis.
•Performing data preparation and analysis as well as management of complex clinical data sources.
•Writing abstracts and generates analytic reports.
•Utilizing critical thinking to manage studies by planning, assisting with study design, developing statements of work and analysis plans, monitoring progress, evaluating data quality, analyzing data, validating results, and seeking ways to improve workflow.
•Designing and validating NLP algorithms for efficient information extraction, information retrieval, and text mining.
•Creating, maintaining, and documenting computer software for data analysis and management.
•Participating in grant application process and publication of the study outcomes.
•Implementing, designing, and assisting investigators with the design of research studies.
•Collaborating with study and analytics team to test hypotheses, answer key questions, summarize data, and create reports.
•Providing technical and scientific assistance and expertise on epidemiology and collaborate with Federal, state, and local partners and non-government stakeholders.
Bachelor’s of Science degree with a focus on Bioinformatics, Biostatistics, Computer Science or Molecular Biology or equivalency (2 years related work experience may be substituted for 1 year of education). Two years of experience in genomic data analysis required. Demonstrated human relations and effective communication skills also required.
Software development experience in object oriented programming using Java, Python, and or C++ and familiarity with molecular biology, genomics and some biostatistics helpful.
Master of Science degree or PhD in Bioinformatics, Computer Science and/or Life Sciences preferred.
Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.
Excellent oral and written communication skills
Highly motivated and self-directed.
Strong planning and time management skills.
Excellent analytical and problem-solving skills.
Team player who will enjoy working in a continual learning and growing atmosphere
Capacity to effectively present results at conferences and meetings, to stakeholders and peers
Strong study design and data analysis skills
Strong understanding of and appreciation for NLP research.
Demonstrated ability to create lexical semantic resources for NLP -based applications
Demonstrated knowledge of SQL required.
Demonstrated ability with Python preferred.
Clinical NLP experience, preferably including experience with UIMA , MetaMap, and cTAKES.
Demonstrated knowledge of machine learning techniques, including deep learning and word embeddings.
Familiarity with epidemiology, biostatics and observational health data preferred.
Ability to work independently and as a team player, to work on multiple projects under pressure and with tight timelines and maintain the attention to detail quality.
Must be legally authorized to work in the United States without sponsorship for employment visa status.
This position has no responsibility for providing care to patients.
The job description has been designed to indicate the general nature and level of work performed by the employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
Type Benefited Staff
Special Instructions Summary
The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
To inquire about this posting, email: firstname.lastname@example.org or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/ TDD ), email: email@example.com .
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.This position may require the successful completion of a criminal background check and/or drug screen.