Post Doc Res Assoc
$65K - $73K/yr
Singlecell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial ... Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or ...
Post Doc Res Assoc
$65K - $73K/yr
Singlecell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial ... Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or ...
Post Doc Res Assoc
Salt Lake City, UT · On-site
$65K - $73K/yr
Single-cell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial ... Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or ...
Post Doc Res Assoc
Salt Lake City, UT · On-site
$65K - $73K/yr
Single-cell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial ... Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or ...
Computational Spatial Transcriptomics information
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 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 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 is the difference between Computational Spatial Transcriptomics vs Computational Biologist?
| Aspect | Computational Spatial Transcriptomics | Computational Biologist |
|---|---|---|
| Required Credentials | Advanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysis | Typically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills |
| Work Environment | Research labs, biotech companies, academic institutions focusing on spatial genomics | Research institutions, biotech firms, academia working on biological data analysis |
| Industry Usage | Specialized in spatial transcriptomics techniques and data interpretation | Broad 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 are popular job titles related to Computational Spatial Transcriptomics jobs in Utah?
For Computational Spatial Transcriptomics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Computational Spatial Transcriptomics jobs in Utah look for?
The top searched job categories for Computational Spatial Transcriptomics jobs in Utah are:
What cities in Utah are hiring for Computational Spatial Transcriptomics jobs?
Cities in Utah with the most Computational Spatial Transcriptomics job openings:
Post Doc Res Assoc
Salt Lake City, UT
University of Utah •
Colleges, Universities, and Professional Schools • 10K+ employees10,000+ employees
7.2
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Uninterrupted breaks
$65K - $73K/yr
Full-time
Retirement
Re-posted 14 days ago
Job description
Details
Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level P4 - Advanced, P3 - Career, P2 - Developing, P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area U of U Health - Academics Department 01502 - Department of Biochemistry Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $65,600 to $73,136 Close Date 08/26/2026 Priority Review Date (Note - Posting may close at any time) Job Summary The Ho lab at the University of Utah is launching an ambitious program to systematically discover, map, and therapeutically harness mitochondrial microproteins to reverse mitochondrial dysfunction in rare and common disease. Microproteins encoded by small open reading frames (smORFs) are an enormous, largely uncharted space of short proteins that regulate core aspects of mitochondrial metabolism, import, and stress responses, and represent a new class of therapeutic targets. Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome.
Responsibilities Scientific vision
Ribosome profiling has uncovered nearly 10,000 human microproteins, yet fewer than 1% are functionally characterized, and a substantial fraction appear to localize to mitochondria ("mito-MPs"). Our longterm goal is to:
- Create a comprehensive, experimentally validated functional atlas of mitochondrial microproteins
- Reverse mitochondrial dysfunction in rare mitochondrial diseases as well as common metabolic disorders
Postdocs in the lab will drive one or more of the following thrusts (projects can be tailored to your background):
- Mapping the mitochondrial microproteome
- Systemslevel functional mapping of mitoMPs
- Hypotheses-driven interrogation of mito-MP biology
- AIguided design of therapeutic microproteins
If you are excited by the idea of treating microproteins as programmable therapeutic modules and want to work at the intersection of mitochondrial biology, functional genomics, and machine learning, we would love to hear from you.
Methods and platforms in the lab
Depending on your project and interests, you will have the opportunity to work with:
- Highthroughput functional genomics: pooled CRISPR and baseediting screens, barcoded overexpression libraries, massively parallel reporter assays.
- Advanced cell and mitochondrial biology: primary human fibroblasts, mitochondrial bioenergetics, import assays, respiratory chain phenotyping, in vivo disease models.
- Multiomics: singlecell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics.
- Computational and AI approaches: microprotein bioinformatics, multiomic integration, protein language models, generative sequence design, and model interpretability (e.g., SHAP, attention mapping).
The Ho lab culture emphasizes team science, rigorous mechanistic work, and translation; you will join a collaborative network of basic and clinical partners aimed at moving microprotein discoveries toward therapeutic applications.
Ideal candidate profile
We are recruiting multiple postdocs, and strongly encourage applicants from all scientific and personal backgrounds. Ideal candidates will bring expertise in at least one of the following areas, and enthusiasm to learn across disciplines:
- Mitochondrial biochemistry, bioenergetics, or oxidative phosphorylation.
- Rare mitochondrial diseases or mitochondrial dysfunction in metabolic disease.
- Mitochondrial protein import, organelle proteostasis, or quality control.
- Functional genomics: CRISPR/Cas9 or baseediting screens, highthroughput reporter assays.
- Singlecell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial contexts.
- Microprotein or peptide biology; therapeutic peptide, mRNA, or gene therapy development related to mitochondrial disease.
- Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or integrative multiomic analyses.
- Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues.
Qualifications
- PhD or MDPhD in a relevant field (e.g., Biochemistry, Molecular Biology, Genetics, Systems Biology, Bioengineering, Computational Biology, Biomedical Data Science).
- Strong publication record for your career stage and evidence of driving projects to completion.
- Demonstrated critical and creative thinking, with the ability to formulate and test mechanistic hypotheses.
- Independence and strong organizational skills, coupled with enjoyment of close collaboration and mentoring in a team setting.
Prior experience in every technique listed is not required; we expect you to have depth in one area and motivation to expand your toolkit in others.
What we offer
- A highly collaborative, supportive environment spanning wetlab, computational, and translational efforts, embedded in the Department of Biochemistry at the University of Utah.
- Clear lines of sight to highimpact publications and therapeutic development.
- Structured mentoring to help you define your scientific niche, build an independent research vision, and prepare competitive grant and faculty applications.
- Access to stateoftheart core facilities and an extensive network of international collaborators in mitochondrial biology, microproteins, and therapeutic development.
How to apply
Please email the following materials to lena@ho-lab.org with the subject line "Postdoctoral application - Microproteins & Mitochondria":
- CV including publication list.
- A 1-2 page statement of purpose describing:
- Your past research experience.
- How your skills intersect with our program's goals.
- One or two scientific questions you would be excited to pursue within the themes above.
- Contact information for 2-3 referees.
Informal inquiries are welcome if you would like to discuss fit or project directions before applying. For more information on our work, please visit www.ho-lab.org.
Minimum Qualifications Preferences Type Benefited Staff Special Instructions Summary Additional Information The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
About University of Utah
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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.
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