University of Utah
Bioinformatics Data Analyst II
University of Utah, Salt Lake City, Utah, United States, 84193
Open Date:
08/21/2024
Requisition Number:
PRN39620B
Job Title:
Bioinformatics Data Analyst II
Working Title:
Bioinformatics Data Analyst II
Job Grade:
G
FLSA Code:
Administrative
Patient Sensitive Job Code?
No
Standard Hours per Week:
40
Full Time or Part Time?
Full Time
Shift:
Day
Department:
02346 - HCI Jens Lohr Lab
Location:
Campus
City:
Salt Lake City, UT
Pay Rate Range:
60700 to 115300
Open Until Filled:
Yes
Job Summary:
Candidate will focus on new approaches for the analysis of transcriptome and DNA sequencing data from single tumor cells, circulating tumor cells, and matching tumors and circulating DNA to enable new discoveries in patients under multiple contexts. We seek someone with experience in data analysis who is excited about generating new biological insights by applying existing methods to new datasets, and by developing novel approaches for analyzing and integrating these data.
The candidate is expected to contribute towards design and implementation of algorithms to analyze the data and integrate it with outcome of clinical trials. The hired candidate will also be involved in development of in-house tools needed for interactive visualization and analyses. The candidate will also help in maintenance, support, and documentation of computational tools, pipeline, code repository, and generated datasets. As the computational infrastructure evolves, this position is likely to present diverse and flexible opportunities.
Responsibilities:
Analysis of data from high throughput sequencing and microarray experiments.
Create, maintain, and document computer software for data analysis and management.
Assist researchers with the design of genomic experiments.
Instruct personnel in collaborating labs in the use of analysis methods and tools.
Minimum Qualifications:
Bachelor’s of Science degree with a focus on Bioinformatics, Biostatistics, Computer Science or Molecular Biology or equivalency (one year of education can be substituted for two years of related work experience); plus four 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.
This position has no responsibility for providing care to patients.
Preferences:
Ph.D. in bioinformatics, genetics, statistics, mathematical, or computer science or a related discipline with significant experience in computer programming and computational biological applications and a minimum of 6 years of related experience in the field or related area or equivalency (one year of education can be substituted for two years of related work experience) required.
Coding experience in python and/or R along with familiarity in unix/linux environment is required. Deep knowledge on application and development of statistical methods for analyses of high-throughput dataset is a plus.
Practical experience in next-generation sequencing data analysis.
Experience with biological data, especially cancer genetics.
Excellent oral and written communication skills and the ability to perform both self-directed and guided research. Outstanding personal initiative and the ability to work effectively as part of a team.
Ability to meet deadlines and efficiently multitask is a must.
Special Instructions Summary:
The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.
All qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status.
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08/21/2024
Requisition Number:
PRN39620B
Job Title:
Bioinformatics Data Analyst II
Working Title:
Bioinformatics Data Analyst II
Job Grade:
G
FLSA Code:
Administrative
Patient Sensitive Job Code?
No
Standard Hours per Week:
40
Full Time or Part Time?
Full Time
Shift:
Day
Department:
02346 - HCI Jens Lohr Lab
Location:
Campus
City:
Salt Lake City, UT
Pay Rate Range:
60700 to 115300
Open Until Filled:
Yes
Job Summary:
Candidate will focus on new approaches for the analysis of transcriptome and DNA sequencing data from single tumor cells, circulating tumor cells, and matching tumors and circulating DNA to enable new discoveries in patients under multiple contexts. We seek someone with experience in data analysis who is excited about generating new biological insights by applying existing methods to new datasets, and by developing novel approaches for analyzing and integrating these data.
The candidate is expected to contribute towards design and implementation of algorithms to analyze the data and integrate it with outcome of clinical trials. The hired candidate will also be involved in development of in-house tools needed for interactive visualization and analyses. The candidate will also help in maintenance, support, and documentation of computational tools, pipeline, code repository, and generated datasets. As the computational infrastructure evolves, this position is likely to present diverse and flexible opportunities.
Responsibilities:
Analysis of data from high throughput sequencing and microarray experiments.
Create, maintain, and document computer software for data analysis and management.
Assist researchers with the design of genomic experiments.
Instruct personnel in collaborating labs in the use of analysis methods and tools.
Minimum Qualifications:
Bachelor’s of Science degree with a focus on Bioinformatics, Biostatistics, Computer Science or Molecular Biology or equivalency (one year of education can be substituted for two years of related work experience); plus four 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.
This position has no responsibility for providing care to patients.
Preferences:
Ph.D. in bioinformatics, genetics, statistics, mathematical, or computer science or a related discipline with significant experience in computer programming and computational biological applications and a minimum of 6 years of related experience in the field or related area or equivalency (one year of education can be substituted for two years of related work experience) required.
Coding experience in python and/or R along with familiarity in unix/linux environment is required. Deep knowledge on application and development of statistical methods for analyses of high-throughput dataset is a plus.
Practical experience in next-generation sequencing data analysis.
Experience with biological data, especially cancer genetics.
Excellent oral and written communication skills and the ability to perform both self-directed and guided research. Outstanding personal initiative and the ability to work effectively as part of a team.
Ability to meet deadlines and efficiently multitask is a must.
Special Instructions Summary:
The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.
All qualified individuals are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status.
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