Bioinformatician

Department

BSD MED
- Genetic Medicine
- Chowdhury Research Staff

The Section of Genetic Medicine continues to shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application.

The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.

The Roy Chowdhury Lab is looking for a Bioinformatician to work on the analysis and interpretation of large genomic datasets for research projects aimed at identifying factors that contribute to protective immunity against Mtb. The Bioinformatician is also expected to work on other ongoing projects in the lab. The Bioinformatician will perform general bioinformatics analysis for projects primarily involving omics data and support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems.

The incumbent will manage data including loading and querying data from database system and public repositories and transform and merge multilevel omic data into user-friendly formats, develop software pipelines, provide preliminary interpretation of the data, and reports of the results for possible publications. The incumbent will also work in collaboration with others working to complete projects in a timely and efficient manner.

• Basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.
• Implements or modifies existing web-based bioinformatics tools.
• Transfers abstract workflows into production level software.
• Analyzes and interprets data of high throughput genomics, proteomics and genetic data.
• Customizes existing applications to meet specific scientific project needs.
• Assists in creating data algorithms and specialized computer software to identify and classify components of a biological system, such as DNA and protein sequences.
• Supports the development of data models, databases or software applications.
• Produces, presents and discusses high quality data analysis reports.
• Plans own resources to implement or modify existing web-based bioinformatics tools.
• Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
• Designs and perform formal evaluation of informatics methods and products.
• Performs other related work as needed.

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.

• Advanced degree.

• Proficient in developing and implementing empirical genomic protocols.
• Familiar with the analysis of single cell RNA-seq data sets.
• Proficient at assisting with training, a strong publication record, and a demonstrated commitment to excellence in research.
• Knowledge in genetics/ immunology.
• Knowledge in bioinformatics methods and statistical tools for the analyses of genomic data.
• Knowledge of regulatory policies and procedures.

• Analytical skills.
• Problem-solving skills.
• Attention to detail.
• Organizational skills.
• Verbal and written communication skills.
  
  Work independently and as part of a team.

• Resume/CV (required)
• Cover Letter (required)

Research

Individual Contributor

40

No

No

No

$80,000.00 - $

Yes

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

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