Data Analyst

Location: United States
Application Deadline: Open until filled
Published: 1 month ago

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Job Details:

General Notes

Our cancer research program focuses on translational research models to define molecular alterations associated with the processes targeted by various cancer therapies and use these associations to inform treatment choice in trial design.  We use several public domain data sources for obtaining molecular data types and clinical outcomes data from various cancers and apply methods for combining them to extract relevant information.  We also use information on cancer cell biology to develop strategies to define molecular susceptibilities that may be targeted by treatment.  The Kowalski lab is part of the Developmental Therapeutics lab in the Livestrong Cancer Institutes that is a multiple-PI lab with a high-degree of collaboration.  We seek a Data Analyst to carry out cancer clinical genomics computational research in artificial intelligence, database development, and web interface construction.  The Kowalski lab has developed several interfaces for digital health applications in oncology and is looking to expand them into AI domains, working with AWS partners.

Purpose

This position will carry out computational analyses in the area of cancer clinical genomics.

Responsibilities

  • Develop and implement innovative computational approaches for the analyses of large genomic datasets from several technologies. These datasets may utilize several types of available data sources, including public domain. Supports the generation of preliminary results for grant submissions, writes and edits grants and grant progress reports.
  • Stay current on innovations in methods and tools for AI in healthcare, cancer public resources, and sequence analyses. Participate in the implementation of new tool development for deployment and supports current tools deployed.
  • Participate in the design of a project. Leads a research effort in the direction set forth by the PI and the specific project.
  • Other related duties as assigned.

Required Qualifications

Bachelor’s degree in bioinformatics, computer science, data science, statistics or related field and 2 years prior work experience in the analysis of genomic data or Master’s degree in bioinformatics, computer science, data science, statistics or related field and prior work experience in the analysis of genomic data. A hybrid work arrangement is possible for this position, which is based in Austin, Texas. Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Experience with the biomarker analyses of cancer genomics data.  Additional experience with some combination of the following: R, Python, Java, AWS platforms or tools, analyses of multiple types of genomics data from multiple, public domains, clustering, enrichment analyses, motif sequence analyses, exploratory data analysis and survival analysis.

Salary Range

$70,000 + depending on qualifications

Working Conditions

  • May work around standard office conditions.
  • Repetitive use of a keyboard at a workstation.

Required Materials

  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

 

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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