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Transcriptomics Jobs in Texas (NOW HIRING)

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Transcriptomics information

What are the key skills and qualifications needed to thrive as a Transcriptomics Scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What does transcriptomics do?

Transcriptomics is a field within molecular biology that studies the complete set of RNA transcripts produced by a genome under specific conditions. Professionals in this area analyze gene expression patterns using tools like RNA sequencing to understand cellular functions and disease mechanisms.

What biology jobs pay over $100k?

In the field of transcriptomics, roles such as senior research scientist, bioinformatics director, and molecular biology manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and skills in data analysis, programming, and laboratory techniques.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and senior clinical geneticists tend to have the highest salaries, often exceeding six figures annually. Positions requiring advanced degrees, specialized skills, and leadership responsibilities typically offer the highest compensation in the field.

What is the highest paying job in bioinformatics?

In bioinformatics, senior roles such as bioinformatics directors, principal scientists, or lead data scientists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in programming, data analysis, and experience with large-scale genomic or transcriptomic data, along with leadership responsibilities.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

Advanced Integrated Wet Lab and Computational Researcher, Surgery

Advanced Integrated Wet Lab and Computational Researcher, Surgery

UT Southwestern Medical Center

Dallas, TX

$114K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


UT Southwestern rating

8.0

Company rating: 8.0 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

88th of 886 rated healthcare providers


Job description

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! 
JOB SUMMARY
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Work collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets. Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs. 
Perform advanced, independent computational and systems biology research in support of high-impact translational and mechanistic studies in musculoskeletal biology, regeneration, tumor microenvironment biology, and aberrant mesenchymal cell fate.

Serve as a computational subject matter expert in multi-omic data integration, including single-cell RNA sequencing (scRNA-seq), single-nucleus ATAC-seq, spatial transcriptomics, CyTOF, bulk RNA-seq, proteomics, and imaging-derived quantitative datasets. Apply expertise in software development, high-performance computing, and reproducible bioinformatics pipelines within a complex research computing environment.  Collaborate directly with the Principal Investigator (PI) and multidisciplinary teams to design computational strategies that interrogate cellular heterogeneity, lineage trajectories, immune-stromal interactions, extracellular matrix remodeling, mechanotransductive signaling, and neurovascular regulation of tissue regeneration and tumor progression.  Lead computational components of peer-reviewed publications, develop predictive models, and generate high-dimensional datasets for presentation in high-impact journals and national/international scientific forums. Provide strategic computational oversight across multiple funded research projects within the laboratory.

JOB DUTIES

1. Multi-Omic Data Analysis and Integration

  • Design and implement analysis pipelines for scRNA-seq, snATAC-seq, spatial transcriptomics, bulk RNA-seq, CyTOF, and proteomics datasets.
  • Perform trajectory inference, cell-cell communication modeling, ligand-receptor interaction analysis, gene regulatory network reconstruction, and pathway enrichment analyses.
  • Integrate transcriptomic, epigenomic, and imaging-derived data to define mechanistic signaling axes.
  • Develop reproducible workflows using R, Python, and high-performance computing environments.

2. Translational and Predictive Modeling

  • Develop machine learning models for disease prediction and therapeutic response.
  • Identify biomarkers, therapeutic targets, and signaling networks in regenerative and oncologic contexts.
  • Analyze longitudinal and multimodal datasets to model dynamic cellular state transitions.

3. Mechanistic Discovery Support

  • Collaborate with experimental scientists to design experiments informed by computational hypotheses.
  • Perform differential expression, chromatin accessibility, and integrative multi-omic analyses.
  • Quantitatively analyze imaging datasets and integrate findings with molecular data.

4. Scientific Leadership and Publication

  • Generate publication-quality figures and high-dimensional data visualizations.
  • Lead computational sections of manuscripts, grants, and presentations.
  • Contribute to NIH grant preparation, including data analysis plans and preliminary data generation.

5. Laboratory Computational Infrastructure

  • Maintain and optimize laboratory computational pipelines and data management strategies.
  • Advise trainees and laboratory personnel on statistical design and data interpretation.
  • Ensure best practices in reproducibility, version control, and data sharing compliance.

6. Additional Responsibilities

  • Assist PI in strategic planning of computational approaches across multiple funded projects.
  • Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
  • Perform other duties as assigned in support of laboratory research goals.

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

  • PPO medical plan, available day one at no cost for full-time employee-only coverage
  • 100% coverage for preventive healthcare-no copay
  • Paid Time Off, available day one
  • Retirement Programs through the Teacher Retirement System of Texas (TRS)
  • Paid Parental Leave Benefit
  • Wellness programs
  • Tuition Reimbursement
  • Public Service Loan Forgiveness (PSLF) Qualified Employer
  • Learn more about these and other UTSW employee benefits!


EXPERIENCE AND EDUCATION
Required

  • Education
    PhD in Computer Science or a related field of biological science, with thesis work in bioinformatics and computational biology or 
    Master's Degree in Computer Science or a related field of biological science or 
    Bachelor's Degree in Computer Science or a related field of biological science 
     
  • Experience
    2 years of related research experience in bioinformatics and computational biology with Master's Degree or 
    4 years of related research experience in bioinformatics and computational biology with Bachelor's Degree. 
     


JOB DUTIES

  • Manage computer hardware and software programming and maintenance for one or more research laboratories. Ensure existing systems meet the continuing needs of the labs and/or recommend and test new systems as necessary.
  • Perform or direct others to perform complex data analysis related to specialized research methodologies and results. Manage assigned research projects with minimal input from PI.
  • Develop and/or modify software to support new and ongoing research projects.
  • Resolve hardware, software, and network issues in support of the lab.
  • Oversee the development and maintenance of complex databases to support new and ongoing research projects.
  • Prepare research reports for presentation, and assist with preparation of manuscripts for publication.
  • May specialize in bioinformatics, software development, network administration, or hardware/software maintenance.
  • Perform other duties as assigned.

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
 


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