Data Analyst

Job Posting Title:

Data Analyst

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Hiring Department:

Dell Medical School

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

AUSTIN, TX

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Job Details:

General Notes

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.

Purpose

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

Responsibilities

• 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.

Required Qualifications

Bachelors 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 a related field and experience in the analysis of genomic data. Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

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.

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 Quest