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Transcriptomics Jobs in Texas (NOW HIRING)

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $89K/yr

... transcriptomics), managing electronic health record data extraction and phenotyping, and creating reproducible computational workflows. The role requires proficiency in genomic data analysis tools ...

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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.

What are popular job titles related to Transcriptomics jobs in Texas? For Transcriptomics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Transcriptomics jobs in Texas look for? The top searched job categories for Transcriptomics jobs in Texas are:
Transcriptomics jobs near you
Research Scientist II - Health and Clinical Outcomes Research

Research Scientist II - Health and Clinical Outcomes Research

UTMB Health

Galveston, TX • On-site

Full-time

Posted 15 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

263rd of 886 rated healthcare providers

Job description

DEPT MARKETING STATEMENT:
UTMB's new Center for Health and Clinical Outcomes Research (H-COR) seeks Research Scientists to advance decision-grade evidence from real-world data to study and understand human health. H-COR leverages Epic EHR (Clarity/Caboodle and Cosmos), TriNetX, Medicare and other administrative data. H-COR has an interest in pairing outcomes research with secure, principled integration of high-dimensional modalities (e.g., transcriptomics, proteomics, pathogen genomics). Also of interest is the utilization of novel data sources including those derived from social media, mobile phones, wearables, and other digital sources. Researchers at H-COR collaborate across all five UTMB schools
JOB DESCRIPTION:
Conducts innovative scientific investigation by developing theories and devising scientific methods and procedures to apply scientific principles, theories and research in projects related to the mission of UTMB. Committed to the discovery of new innovative biomedical and health services knowledge leading to increasingly effective and accessible health care. Assures competence as a fully trained scientist in a specific discipline or area of expertise.
ESSENTIAL JOB FUNCTIONS:
  • Leading and contributing to high-impact health and clinical outcomes research
  • Planning and performing advanced data analyses using UTMB's exceptional data infrastructure, with particular emphasis on electronic health record (EHR) data including EPIC, EPIC Cosmos, TriNetX, and Medicare administrative datasets
  • Building transparent cohort definitions and phenotypes using ICD-10/PCS, CPT/HCPCS, LOINC, and RxNorm
  • Implementing modern causal-inference strategies (e.g., target-trial emulation, robust confounding control, time-to-event and longitudinal models, principled handling of missingness, falsification and sensitivity analyses)
  • Collaborating across UTMB's schools on defined research programs
  • Contributing to abstracts, manuscripts, and grant applications as PI/Co-I or key personnel
  • Integrating clinical timelines with multi-omics and other high-dimensional data while preserving clinical interpretability and privacy
  • Presenting research at professional meetings and conferences
  • Participating in H-COR's monthly works-in-progress seminars

MINIMUM QUALIFICATIONS:
Ph. D, M.D, D.O., or D.V.M in related field and one year of related experience.
PREFERRED QUALIFICATIONS:
  • PhD or equivalent doctoral degree in a relevant discipline (health services research, epidemiology, biostatistics, data science, computer science, or a closely related field)
  • A track record in health and clinical outcomes methods
  • Demonstrated expertise analyzing clinical and population-health data with specific experience in EHR analytics
  • Proficiency with large healthcare databases (Epic, Epic Cosmos, TriNetX, Medicare)
  • Fluency in at least two of R, Python, SAS, and SQL
  • Excellent scientific writing and communication
  • Evidence of peer-reviewed publications commensurate with career stage
  • Experience with OMOP and HL7 FHIR data models
  • Hands-on practice with target-trial emulation and advanced propensity and longitudinal methods
  • Clinically oriented NLP and time-aware feature extraction
  • Familiarity with multi-omics data structures and cautious EHR-omics linkage
  • Experience in HPC or cloud settings (e.g., TACC, Azure, AWS) and workflow engines that promote end-to-end reproducibility
  • Mentorship of analysts or trainees
  • A record of effective, cross-disciplinary collaboration in an academic health-sciences environment

SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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