Job Description:
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a Bioinformatics Data Analyst/Epidemiologist to join its bioinformatics research team. As one of the Analyst/Epidemiologist team, the successful candidate will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. 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 focuses on patient populations to test hypotheses with the goal of improving clinical care. The Analyst/Epidemiologist team will work within a variety of specialties that include medical, social, environmental, genetic, psychological, and other diverse areas of study. 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.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.
Preferences:
A MS, MPH, or relevant education and/or equivalent training in health service research, epidemiology, informatics, biostatistics, or a related field highly preferred. Post-graduate or post-doctoral training or relevant real-world experience in conducting health service research with experience in biostatistics or epidemiology is preferred. Strong study design and data analysis skills and proficiency with one or more statistical applications (R (preferred), Stata, SAS) are strongly preferred. Demonstrated knowledge of SQL is preferred.
This position has no responsibility for providing care to patients.
Applicants should demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.
Additional Info:
Type: Benefited Staff Special Instructions Summary Disclaimer: This job description has been designed to indicate the general nature and level of work performed by 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. Additional Information: 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: employment@utah.edu 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: oeo@umail.utah.edu. The University is a participating employer with Utah Retirement Systems (“URS”). To be eligible for retirement contributions, you must be hired into a benefit-eligible position. Certain new hires are automatically assigned to the URS retirement plan and other employees with prior URS service, may elect to enroll in the URS within 30 days of hire. Regardless of whether they are hired into a benefit-eligible position or not, individuals who previously retired and are receiving monthly retirement benefits from URS must notify the Benefits Department upon hire. Please contact Utah Retirement Systems at (801)366-7770 or (800)695-4877 or the University’s Benefits Department at (801)581-7447 for information. This position may require the successful completion of a criminal background check and/or drug screen.[Click Here to Access the Original Job Post]
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a Bioinformatics Data Analyst/Epidemiologist to join its bioinformatics research team. As one of the Analyst/Epidemiologist team, the successful candidate will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. 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 focuses on patient populations to test hypotheses with the goal of improving clinical care. The Analyst/Epidemiologist team will work within a variety of specialties that include medical, social, environmental, genetic, psychological, and other diverse areas of study. 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.
Responsibilities
Essential Functions: •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. •Contribute to the development of protocols and statistical analysis plans. •Provide support of research activities through data analyses, statistical modeling, reporting, and communication of results. •Collect and analyze data—which may include observations, retrospective medical record data, interviews, surveys, and samples—to find disease mechanism or other health issues. •Communicate findings to health practitioners, policymakers, and the public. •Provide technical and scientific assistance and expertise on epidemiology and collaborate with Federal, state, and local partners and non-government stakeholders. •Guide pharmacoepidemiology studies in support of medical product safety research under the direction of senior staff. •Must demonstrate excellent communication and analytical skills as well as possess a high level of self-motivation, initiative and attention to detail. •Ability to work independently and as a team player, to work on multiple projects under pressure and with tight timelines. Minimum Qualifications:Requeriments :
Skills :
- Biostatistics
- genomic
- molecular biology
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in R
- Programming in SAS
- Software Design
- SQL
- Statistics
Areas :
Additional Info:
Type: Benefited Staff Special Instructions Summary Disclaimer: This job description has been designed to indicate the general nature and level of work performed by 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. Additional Information: 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: employment@utah.edu 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: oeo@umail.utah.edu. The University is a participating employer with Utah Retirement Systems (“URS”). To be eligible for retirement contributions, you must be hired into a benefit-eligible position. Certain new hires are automatically assigned to the URS retirement plan and other employees with prior URS service, may elect to enroll in the URS within 30 days of hire. Regardless of whether they are hired into a benefit-eligible position or not, individuals who previously retired and are receiving monthly retirement benefits from URS must notify the Benefits Department upon hire. Please contact Utah Retirement Systems at (801)366-7770 or (800)695-4877 or the University’s Benefits Department at (801)581-7447 for information. This position may require the successful completion of a criminal background check and/or drug screen.[Click Here to Access the Original Job Post]