Data Analyst

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Weekly Scheduled Hours:

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Job Details:

The Department of Medicine's Division of Oncology at the Dell Medical School is looking for a Data Analyst.

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 Department of Medicine's Division of Oncology.We seek a Data Analyst to carry out computational research in a highly collaborative and interdisciplinary environment with world-class experts and state-of-the-art technologies.

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

• Design, develop, and implement innovative computational approaches for the analyses of genomic data in cancer therapeutics. 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 sequence analysis and artificial intelligence (AI)/machine learning (ML) techniques and tools relevant to therapeutics. Participate in the implementation of new tool development, documentation, and deployment as well as support currently deployed tools.

• Participates in the design of research project. Leads a research effort in the direction set forth by the PI and the specific project. Implements and documents the project as well as identifying and solving bottlenecks. Responsible for generating results and driving the progress of the project.

• Other related duties as assigned.

Bachelors degree in bioinformatics, computer science, data science, statistics or related fieldand 2 years prior work experience in the analysis of genomic data or Master's degree in a related field and experience in the analysis of genomic data. Relevant education and experience may be substituted as appropriate.

Experience with analyses of cancer genomics data and working in a high-performance computing environment. Additional experience with some combination of the following: Git, R, Python, SQL, Docker, AWS platforms or tools, continuous improvement/continuous deployment management, package and interactive platform development, analyses of multiple types of genomics data from multiple, public domains, clustering, enrichment analyses, motif sequence analyses, exploratory data analysis, data visualization, and survival analysis. Previous AI experience with large language model agent orchestration, creation, and usage, as well as with RAG and embeddings. Ability to disseminate research findings with data visualizations and workflow diagrams.

$70,000+ depending on qualifications

• May work around standard office conditions.

• Repetitive use of a keyboard at a workstation.

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Importantfor 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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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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:

• E-Verify Poster (English) [PDF]
• E-Verify Poster (Spanish) [PDF]
• Right To Work Poster (English) [PDF]
• Right To Work Poster (Spanish) [PDF]

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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.