Postdoctoral Fellow in Pediatrics
$42K - $58K/yr
Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics ... Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures ...
Postdoctoral Fellow in Pediatrics
$42K - $58K/yr
Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics ... Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures ...
Spatial Transcriptomics Omics information
See Kokomo, IN salary details
$62.2K is the 25th percentile. Wages below this are outliers.
$44.5K - $73.5K
41% of jobs
The median wage is $85.9K / yr.
$73.5K - $102.4K
21% of jobs
$102.4K - $131.4K
12% of jobs
$132K is the 75th percentile. Wages above this are outliers.
$131.4K - $160.4K
24% of jobs
$160.4K - $189.3K
1% of jobs
$189.3K - $218.3K
0% of jobs
$218.3K - $247.3K
0% of jobs
$247.3K - $276.2K
0% of jobs
$276.2K - $305.2K
0% of jobs
$305.2K - $334.2K
0% of jobs
$334.2K - $363.2K
0% of jobs
$44.5K
$184.7K
$363.2K
How much do spatial transcriptomics omics jobs pay per year?
As of Sep 2, 2026, the average yearly pay for spatial transcriptomics omics in Kokomo, IN is $184,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $363,200.00 per year, depending on experience, location, and employer.
What is spatial transcriptomics in omics research?
Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.
What are the key skills and qualifications needed to thrive as a spatial transcriptomics specialist?
To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.
What are some common challenges faced by professionals in spatial transcriptomics omics, and how can they be addressed?
Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.
What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?
| Aspect | Spatial Transcriptomics Omics | Spatial Transcriptomics Technician |
|---|---|---|
| Required Credentials | Advanced degrees (Master's/PhD) in molecular biology, genomics, or related fields | Associate's or Bachelor's degree in biology, biotechnology, or related fields |
| Work Environment | Research labs, biotech companies, academic institutions | Laboratories, research facilities, biotech companies |
| Industry Usage | Research and development, data analysis, method development | Sample preparation, data collection, equipment operation |
Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.
What job categories do people searching Spatial Transcriptomics Omics jobs in Kokomo, IN look for?
The top searched job categories for Spatial Transcriptomics Omics jobs in Kokomo, IN are:
What cities near Kokomo, IN are hiring for Spatial Transcriptomics Omics jobs?
Cities near Kokomo, IN with the most Spatial Transcriptomics Omics job openings:
$42K - $58K/yr
Full-time
Re-posted 19 days ago
Job description
Position Details
Title Postdoctoral Fellow in Pediatrics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Pediatrics Campus IU School of Medicine Indianapolis Position Summary The Schwaderer Lab is dedicated to uncovering the biological mechanisms underlying kidney diseases, particularly those with immune-mediated components such as kidney infections, kidney stones, and glomerular disorders. Our research integrates cutting-edge approaches to understand how immune responses contribute to kidney injury and disease progression.
In addition, we focus on biomarker discovery to identify children at risk for developing kidney disease and to guide personalized treatment strategies. By leveraging advanced technologies in genomics, proteomics, and metabolomics, our goal is to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health.
Bioinformatics and Biomarker Analysis in Kidney Disease The Nephrology and Urology Research Group at Indiana University School of Medicine seeks a highly motivated individual to join our team in advancing the understanding of kidney disease through cutting-edge bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics, transcriptomics), targeted biomarker arrays, and advanced computational approaches to:
Characterize biomarker profiles across kidney tissue, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures with tissue architecture. Develop predictive models for disease diagnosis, prognosis, and therapeutic targeting.
Experimental and Analytical Approaches
Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis.
The Herman B Wells Center for Pediatric Research conducts basic science and translational research within the Department of Pediatrics at Indiana University School of Medicine. The Wells Center houses more than 300 faculty investigators, staff, and trainees seeking answers to the most pressing questions related to childhood illness. With the collaboration between scientists and physicians, the center aims to increase knowledge of causes and mechanisms of serious pediatric diseases. Our goal is to develop innovative approaches to the diagnosis and treatment of sick children in Indiana and beyond.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
PhD in bioinformatics, molecular biology, nephrology, urology, or a related field
Department Contact for Questions Andrew Schwaderer, MD
schwadea@iu.edu
Additional Qualifications schwadea@iu.edu
Preferred Qualifications
Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications, excellent communication skills, and collaborative mindset will be prioritized.
Collaborative Environment The successful candidate will join a multidisciplinary team with expertise in nephrology, urology, molecular biology, and computational science. Access to patient samples, state-of-the-art imaging facilities, and high-performance computing resources will support translational research aimed at improving kidney health.