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Transcriptomics Jobs in Arnold, PA (NOW HIRING)

Transcriptomics information

See Arnold, PA salary details

$43.6K

$181.1K

$356.1K

How much do transcriptomics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for transcriptomics in Arnold, PA is $181,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $356,100.00 per year, depending on experience, location, and employer.

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 Arnold, PA? For Transcriptomics jobs in Arnold, PA, the most frequently searched job titles are:
What cities near Arnold, PA are hiring for Transcriptomics jobs? Cities near Arnold, PA with the most Transcriptomics job openings:
Research Associate - Mellon College of Science - Biological Sciences

Research Associate - Mellon College of Science - Biological Sciences

Carnegie Mellon University

Pittsburgh, PA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

57th of 555 rated colleges and universities


Job description

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Mellon College of Science (MCS) is home to four departments and many programs and research centers that cross disciplines. We approach scientific problems from fresh angles using creative interdisciplinary approaches while drawing on our departmental strengths in the core sciences. MCS faculty members are nationally and internationally recognized for their research in a variety of fields, including polymer science, cosmology, mathematical finance, and neuroscience.
Our Biological Sciences department is seeking a Research Associate to join the team! In this role, you will support biology research projects involving molecular biology, cell biology, genomics, transcriptomics, and computational biology. This position will contribute to both wet-lab experimental workflows and bioinformatics analysis of high-throughput sequencing datasets
Core Responsibilities
  • Perform molecular biology and genomics-related laboratory procedures according to established protocols, including sample preparation, nucleic acid extraction, PCR-based assays, protein assays, cell culture support, bacterial culture, plasmid preparation, and related experimental workflows.
  • Assist with animal and tissue-based research workflows, including mouse model support, mouse dissection, tissue collection, sample labeling and storage, and coordination of downstream molecular assays.
  • Process, analyze, and interpret high-throughput sequencing datasets, including RNA-seq, Ribo-seq, single-cell RNA-seq, spatial transcriptomics, and ATAC-seq data.
  • Build, execute, and maintain reproducible computational workflows for quality control, read alignment, differential expression analysis, and data visualization.
  • Generate figures, tables, written summaries, and presentation materials for laboratory meetings, research reports.
  • Maintain accurate and detailed records of experimental procedures, sequencing datasets, analysis scripts, computational results, and project documentation.
  • Communicate research progress, technical issues, and analysis results clearly to supervisors and collaborators.
  • Collaborate with faculty, postdoctoral researchers, graduate students, and other laboratory staff on interdisciplinary research projects.
  • Support sequencing analysis related to gene expression and translational regulation.
  • Analyze single-cell datasets to characterize cell populations and disease-related features.
  • Develop and maintain reproducible analysis pipeline using R and Python.
  • Use bioinformatics tools and computing environments such as IGV, Linux/Unix, and related software.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Qualifications:
  • Bachelor's degree in Bioinformatics, Quantitative Biology, Biotechnology, Molecular Biology, Genetics, or a related field required. Master's degree preferred.
  • 1-3 years of research experience in a laboratory in bioinformatics, computational biology, genomics, or related biology research.
  • Research experience involving wet-lab molecular biology, cell biology techniques and bioinformatics analysis of high-throughput sequencing data, such as RNA-seq, single-cell RNA-seq, spatial transcriptomics, Ribo-seq, ATAC-seq, or alternative splicing analysis.
  • Training or certification in laboratory safety, biosafety, and animal research is preferred.
  • A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements:
  • Successful completion of a pre-employment background check

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Researchers
Position Type
Staff - Fixed Term (Fixed Term)
Full Time/Part time
Part time
Pay Basis
Hourly
More Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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