Computational Biology, Sr. Analyst

Updated: almost 2 years ago
Location: Chicago, ILLINOIS
Job Type: FullTime
Deadline: The position may have been removed or expired!

Department
 

BSD CCC Computational Oncology Unit


About the Department
 

The University of Chicago Comprehensive Cancer Center (UCCCC) is an integral component of the Biological Sciences Division (BSD). The BSD is the largest of four Divisions of the University and includes the Pritzker School of Medicine. UCCCC administers four established scientific programs, and the NCI-sponsored Cancer Center Support Grant provides funding for ten Shared Resources. The Comprehensive Cancer Center is comprised of over 150 faculty members from twenty departments with members currently being awarded over $47 million in total direct costs in peer-reviewed cancer research grants, and $28 million in non-peer reviewed grants and contracts. The activities of the Center are broad and varied, including research, training and education, communications, fundraising, marketing, clinical trials management and community outreach. UCCCC has one of the largest cancer clinical trials programs in the country and in the Chicago area with nearly 500 adult and pediatric therapeutic trials actively accruing patients. Many of these studies are investigator-initiated, including Phase I or I/II trials, demonstrating UCCCC commitment to translate basic research findings to the clinic through proof-of-principle and early phase studies. UCCCC opens over 250 new trials each year and accrues approximately 900 participants to therapeutic trials each year.


Job Summary
 

The University of Chicago Computational Oncology has an opening for a Programmer Analyst to assist the Computational Oncology Core with biological data analysis. The Programmer Analyst will use computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput experiments. We are looking for a motivated computational biologist who will work with a multidisciplinary team to develop innovative computational algorithms and approaches to solve crucial questions in cancer biology. The job administers programs and supports all phases of computational biology activities by helping devise or modify procedures to solve complex problems.

Responsibilities

  • Creates data algorithms and software to identify and classify components of a biological system.

  • Uses R or python to perform statistical analyses and visualizations of oncology data.

  • Works on integrative analysis of big data (using Artificial Intelligence and Machine learning).

  • Designs and develops pipelines to address novel analytical challenges and automate analysis of studies.

  • Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).

  • Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.

  • Interprets data analysis of high throughput genomics, proteomics and genetic data.

  • Plans own resources to implement or modify existing web-based bioinformatics tools.

  • Performs other related work as needed.


Minimum Qualifications
 

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

  • Master’s degree in computer science with a bioinformatics concentration or in bioinformatics with solid programming and analysis skills.

Experience:

  • Proficiency in one or more scripting languages (Python and Perl).

  • Experience working in a Unix/Linux environment.

  • Knowledge of cloud or cluster computing.

Preferred Competencies

  • Knowledge and experience in own discipline; still acquiring higher-level knowledge and skills.

  • Solves a range of computational problems.

  • Analyzes possible solutions using standard procedures.

  • Receives a moderate level of guidance and direction. 

Application Documents

  • Resume (required)

  • Cover letter (required)



When applying, the document(s) MUST  be uploaded via the My Experience page, in the section titled Application Documents of the application.



Job Family
 

Research


Role Impact
 

Individual Contributor


FLSA Status
 

Exempt


Pay Frequency
 

Monthly


Scheduled Weekly Hours
 

40


Benefits Eligible
 

Yes


Requires Compliance with University Covid-19 Vaccination Requirement
 

Yes


Drug Test Required
 

No


Health Screen Required
 

No


Motor Vehicle Record Inquiry Required
 

No


Posting Statement
 

Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
The University of Chicago is an Affirmative Action/ Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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