Job Description:
The Pezzolesi lab is seeking a bioinformatics data analyst to assist in analyzing high-throughput genetic data as part of several research projects that aim to investigate the basis of diabetes, diabetes-related complications, and chronic kidney disease using molecular biology, next-generation sequencing technology, and bioinformatics. The bioinformatics data analyst will be responsible for working independently, as well as part of a team, performing advanced genetic analysis (e.g., using GWAS and NGS analytical methods), and evaluating and reporting the results of these analyses. The bioinformatics data analyst will assist in the development and implementation of analytical workflows, evaluating data quality, analyzing data, validating results, and seeking ways to improve the analytical workflows. The bioinformatics data analyst may also assist in collecting and analyzing data, some of which may be obtained from retrospective medical record data or surveys. Responsibilities: Essential Functions: 1. Performs analysis of high throughput genomic data, including designing and implementing analytical workflows. 2. Contribute to the development of protocols and bioinformatic and statistical analysis plans. 3. Assist in the development and implementation of data analysis workflows to support other lab activities and prepare reports summarizing results. 4. Provide technical assistance and expertise on bioinformatic analyses. 5. Conducts literature reviews to obtain abstracts and information to be utilized in research and workflow development. 6. May oversee the operations of bioinformatics analyses of other lab members. This job description 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. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications: -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: Bachelor’s degree in Genetics and programming experience (Unix, R, SAS) is also allowed.
Additional Info:
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 Pezzolesi lab is seeking a bioinformatics data analyst to assist in analyzing high-throughput genetic data as part of several research projects that aim to investigate the basis of diabetes, diabetes-related complications, and chronic kidney disease using molecular biology, next-generation sequencing technology, and bioinformatics. The bioinformatics data analyst will be responsible for working independently, as well as part of a team, performing advanced genetic analysis (e.g., using GWAS and NGS analytical methods), and evaluating and reporting the results of these analyses. The bioinformatics data analyst will assist in the development and implementation of analytical workflows, evaluating data quality, analyzing data, validating results, and seeking ways to improve the analytical workflows. The bioinformatics data analyst may also assist in collecting and analyzing data, some of which may be obtained from retrospective medical record data or surveys. Responsibilities: Essential Functions: 1. Performs analysis of high throughput genomic data, including designing and implementing analytical workflows. 2. Contribute to the development of protocols and bioinformatic and statistical analysis plans. 3. Assist in the development and implementation of data analysis workflows to support other lab activities and prepare reports summarizing results. 4. Provide technical assistance and expertise on bioinformatic analyses. 5. Conducts literature reviews to obtain abstracts and information to be utilized in research and workflow development. 6. May oversee the operations of bioinformatics analyses of other lab members. This job description 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. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead. Minimum Qualifications: -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: Bachelor’s degree in Genetics and programming experience (Unix, R, SAS) is also allowed.
Requeriments :
Skills :
- genomic
- Lunix/Unix
- molecular biology
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in SAS
- Software Design
Areas :
Additional Info:
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]