Research Engineering/ Scientist Associate III, Center for Biomedical Research Support

AUSTIN, TX

Full Time Mid-level / Intermediate USD 60K+

The University of Texas at Austin

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Posted 3 hours ago

Job Posting Title:

Research Engineering/ Scientist Associate III, Center for Biomedical Research Support

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Hiring Department:

Center for Biomedical Research Support

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

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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 Center for Biomedical Research Support (CBRS) is a collection of 10 service centers that operates under the Vice President for Research, Scholarship and Creative Endeavors (OVPR) and broadly supports the research community on campus and externally. CBRS serves a central role across all of campus to provide access to cutting-edge technology, expert advice, and centralized services. CBRS is comprised of core facilities including Biomedical Imaging, Bioinformatics, Biological Mass Spectrometry, Biomedical Research Computing, Cryo-EM imaging, Genome Sequencing, Microscopy/Flow Cytometry and Mouse Genetic Engineering. In addition, CBRS provides laboratory support in the forms of stockrooms, electronics repair, and external services drop boxes.

UT Austin offers a competitive benefits package that includes:

100% employer-paid basic medical coverage
Retirement contributions
Paid vacation and sick time
Paid holidays

Please visit our Human Resources (HR) website to learn more about the total benefits offered.

Purpose

The Bioinformatics Consulting Group (BCG) at the University of Texas at Austin is seeking to hire a full-time Bioinformatics Research Associate to provide bioinformatics and biostatistical support services to researchers at the University of Texas and beyond. As one of the 12 cores in the Center for Biomedical Research Support (CBRS), BCG plays a crucial step in supporting research across the University by providing access to computational approaches and analysis support for high throughput biological data, by providing training and education on computational approaches and by serving as a centralized knowledge base of tools and best practices in computational biology. We are a small group of long-standing members who enjoy working collaboratively on a variety of impactful projects in the fields of neuroscience, immunology, cancer, psychiatry, evolutionary biology and virology and helping make sense of large amounts of biological data.

Responsibilities

Analyzes and models omics data (genomic, transcriptomic, epigenomic, microbiome) using bioinformatics, biostatistics, and machine learning methods. Prepares, cleans up, and quality-control biological data, including multidimensional omics data modalities. Reads literature, gathers relevant information systematically, and confer with the supervisor regarding new procedures.
Implements and quality-check R/Python/Bash scripts for pipeline automation, data parsing, visualization, and other processing related to omics data analysis. Develops computational methods as needed for omics data analysis.
Assists in the production of high-quality publication-worthy results. Presents results during lab meetings, department, and institutional meetings and seminars, and appropriate scientific conferences.
Participates in BCG’s educational and training efforts by putting together documentation, video tutorials, or in-person teaching.
Other duties as assigned.

Required Qualifications

Bachelor’s degree and four years of related experience or Master’s degree and two years of related experience.
Significant programming experience in either R or Python.
Knowledge of basic shell scripting.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Ph.D. in a quantitative subject.
Experience and publication record in bioinformatics and/or computational biology.
Significant education and/or experience in statistics, biostatistics, and/or machine learning.
Familiarity with common -omics analysis software.

Salary Range

$60,000 + depending on qualifications

Working Conditions

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

Required Materials

Please mark "yes" on the application for required materials. Failure to attach all additional materials listed may affect candidates being considered for the position.

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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