2010053 BSD Senior Administration
About the Unit
Responsible for all aspects of research projects and research facilities. Plans and conducts clinical and non-clinical research; facilitates and monitors daily activities of clinical trials or research projects. Directs engineering and technical support activities to develop and maintain tools and computational methods needed to gather and analyze data.
Career Track and Job Level
Responsible for developing methods and software tools to analyze and interpret biological data.
P3: Requires in-depth knowledge and experience. Uses best practices and knowledge of internal or external University issues to improve products or services. Solves complex problems; takes a new perspective using existing solutions. Works independently, receives minimal guidance. Acts as a resource for colleagues with less experience.
The job uses best practices and knowledge of data algorithms and use specialized computer software to identify and classify components of scientific biological systems.
1) Develop programs to perform analyses and generate both routine and ad hoc reports., 2) Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies., 3) Designs and perform formal evaluation of informatics methods and products., 4) Manipulates publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases, 5) Performs other related work as needed.
1) Lead the bioinformatics analysis of high-throughput biological data
2) Apply state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets
3) Lead the analysis of data resulting in a better understanding of human genetic variation and the association of medical information to uncover gene-disease links and new targets
4) Work effectively with the faculty, clinicians, researchers and experimentalists, to implement novel or adapt existing approaches to optimize upstream and downstream analysis and interpretation of biological data
5) Integrate diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects
6) Instruct others in the selection and use of bioinformatics tools
7) Develop new software applications or the customization of existing applications to meet specific scientific project needs
8) Identify suitable datasets and methods to answer particular research questions
9) Design and perform formal evaluation of informatics methods and products
10) Perform data analyst functions that generate knowledge via data mining, visualization, or other analytics
11) Conduct validation and user acceptance testing
12) Create novel computational approaches
13) Design best research and development practice
14) Stay up to date on new advances and developments in bioinformatics and provide on-demand bioinformatics and statistics support to various teams
15) Development of training, tools, and process documentation
Depends on Qualifications
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
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1) Advanced knowledge in bioinformatics, research techniques and methods
2) Ability to train others
3) Advanced knowledge of modern programming and/or scripting languages such as Python
4) Knowledge of genomic data regulatory policies and procedures, and the optimization, automation and operations support of analysis pipelines for high dimensional data including whole-genome, whole-exome, and RNA sequencing data
5) Advanced analytical skills
6) Excellent verbal and written communication skills
7) Ability to work independently and as part of a team
Education, Experience, and Certifications
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
MS or Doctoral degree in Bioinformatics, Biological Sciences, Computer Science, or a related field.
1) Minimum of 5 year of experience in programming for bioinformatics with scripting languages such as Python, R, XML, C/C++ or SQL.
2) Experience organizing and working with big data.
3) Experience with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard or other tools.
4) Experience and proficiency in analysis pipeline development of high throughput data.
Note:When applying, all required documents MUST be uploaded under the Resume/CV section of the application
Please apply this position at uchicago.wd5.myworkdayjobs.com/en-US/External/job/Hyde-Park-Campus/Bioinformatician_JR08582 by clicking the Apply button at the end of the post.