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Computational Spatial Transcriptomics Jobs in Illinois

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Lead computational analyses of bulk RNA-seq, single-cell RNA-seq, DNA sequencing, and spatial transcriptomics datasets. * Develop and implement reproducible pipelines for multi-omic data integration ...

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Lead computational analyses of bulk RNA-seq, single-cell RNA-seq, DNA sequencing, and spatial transcriptomics datasets. * Develop and implement reproducible pipelines for multi-omic data integration ...

Postdoctoral Fellow, Live Tissue Omics

Chicago, IL · On-site

$50.50K - $68.50K/yr

... transcriptomics and lineage barcoding datasets using state-of-the-art computational pipelines, and ... seq, or spatial transcriptomics). * [Nice to have] Experience with RNA engineering, molecular ...

... transcriptomics and lineage barcoding datasets using state-of-the-art computational pipelines, and ... seq, or spatial transcriptomics). * [Nice to have] Experience with RNA engineering, molecular ...

Post Doc Res Assoc

Campus, IL

$65.60K - $73.14K/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

Campus, IL

$65.60K - $73.14K/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

Campus, IL

$65.60K - $73.14K/yr

Singlecell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial ... Computational biology / bioinformatics, especially ribosome profiling, disease gene discovery, or ...

Postdoctoral Fellow, Single-Cell Genomics

Chicago, IL · On-site

$50.50K - $68.50K/yr

This role emphasizes both experimental rigor and computational fluency in the analysis of large ... single-cell RNA-seq, spatial transcriptomics, multiplexed imaging, flow/mass cytometry, or ...

... transcriptomics, imaging-based assays, and/or organoid systems-combined with strong expertise in ... Oversee integration of molecular measurement technologies (e.g., spatial omics, proteomics, high ...

... transcriptomics, imaging-based assays, and/or organoid systems-combined with strong expertise in ... Oversee integration of molecular measurement technologies (e.g., spatial omics, proteomics, high ...

Computational Spatial Transcriptomics information

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 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 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 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 cities in Illinois are hiring for Computational Spatial Transcriptomics jobs? Cities in Illinois with the most Computational Spatial Transcriptomics job openings:

Postdoctoral Research Fellow/Research Officer - Cardiovascular Spatial Biology

Uq

Chicago, IL • Hybrid

$83.70K - $111.43K/yr

Full-time

PTO

Posted 3 hours ago


Job description

  • Institute for Molecular Bioscience / Critical Care Research Group / Wesley Research Institute / Prince Charles Hospital

  • Full-time (100%), fixed-term position for up to 18 months

  • Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A)

  • Based at the Wesley Hospital

About This Opportunity

This is an exciting opportunity for a visionary and inquisitive Postdoctoral Research Fellow/Research Officer to build an emerging research profile within a highly collaborative, multidisciplinary translational cardiovascular research program. Working across The University of Queensland, the Critical Care Research Group, the Wesley Research Institute, and The Prince Charles Hospital, you will contribute to ambitious, purpose-driven research that integrates spatial biology, computational pathology, quantitative imaging, and clinical data to advance understanding of cardiovascular disease. You will be supported by a collegial research culture that values collaboration, innovation, and impact.

Key responsibilities will include:

  • Research: Producing high-quality research outputs through publication in leading journals; contributing to competitive grant applications; applying and advancing best-practice computational and analytical methodologies; developing an emerging, coherent research profile in translational cardiovascular science and computational biology; contributing to the development of computational pipelines for analysis of spatial biology datasets (e.g., multiplex imaging, histopathology, spatial transcriptomics); applying computational approaches to high-dimensional, multi-modal datasets integrating imaging, molecular, and clinical data; and contributing to the analysis of human tissue-derived datasets, particularly in cardiovascular or related disease contexts.

  • Supervision and Researcher Development: Contributing to the supervision and development of Honours and Higher Degree by Research students, fostering a positive and inclusive research training environment.

  • Citizenship and Service: Demonstrating alignment with UQ values through collaboration, participation in internal service activities, and the development of emerging external partnerships with clinical, industry, and research stakeholders.

This is a research focused position. Further information can be found by viewing UQ's Criteria for Academic Performance.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.

At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.

As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process.

About You

You will bring a strong foundation in computational and translational research, combined with curiosity, integrity, and a collaborative mindset. You will demonstrate:

  • Completion or near completion of a PhD in cardiovascular spatial biology or a closely related discipline.

  • An emerging research profile with evidence of publications in reputable, peer-reviewed journals and conference presentations.

  • Demonstrated experience in computational analysis of complex biological datasets, including imaging, spatial omics, or other high-dimensional molecular data.

  • Strong programming skills, for example in Python, and familiarity with scientific computing and reproducible data analysis workflows.

  • Experience in spatial biology, computational pathology, or histopathology image analysis.

  • Experience integrating imaging, molecular, and clinical datasets within a biomedical or translational research context.

  • Exposure to cardiovascular biology, human tissue research, or clinically oriented datasets.

  • A collaborative, inclusive approach to research, supervision, and service that aligns with UQ's values.

Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may include verification of the right to work in Australia, qualifications. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package, however upfront costs will still be expected to be covered.You can find out more about life in Australia's Sunshine State here.

Questions?

For more information about this opportunity, please contact Dr Eliot Peyster | QSBC Head of Cardiovascular Research at eliot.peyster@wesleyresearch.org.au.

For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below)in the subject line.

Want to Apply?

We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:

  • Resume

  • Cover letter responding to the 'About You' section

Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent, particularly from Australia's First Nations Peoples. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au.

Other Information

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don't meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

Applications close Wednesday 27 May at 11.00pm AEST (R-62955).