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Computational Spatial Transcriptomics Jobs in Pennsylvania

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Computational Spatial Transcriptomics information

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

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

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.
What are popular job titles related to Computational Spatial Transcriptomics jobs in Pennsylvania? For Computational Spatial Transcriptomics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Computational Spatial Transcriptomics jobs in Pennsylvania look for? The top searched job categories for Computational Spatial Transcriptomics jobs in Pennsylvania are:
Computational Spatial Transcriptomics jobs near you
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 28 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

56th of 553 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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