Spatial transcriptomics and multi-omics data integration * High-performance computing and scalable biomedical data analysis pipelines About the University of Florida The University of Florida, a ...
Spatial transcriptomics and multi-omics data integration * High-performance computing and scalable biomedical data analysis pipelines About the University of Florida The University of Florida, a ...
Genomics / transcriptomics (bulk, single-cell, spatial) * Epigenomics, proteomics, or multi-omics data * Design data preprocessing, feature engineering pipelines. * Implement models in Python using ...
Genomics / transcriptomics (bulk, single-cell, spatial) * Epigenomics, proteomics, or multi-omics data * Design data preprocessing, feature engineering pipelines. * Implement models in Python using ...
Genomics / transcriptomics (bulk, single-cell, spatial) * Epigenomics, proteomics, or multi-omics data * Design data preprocessing, feature engineering pipelines. * Implement models in Python using ...
Genomics / transcriptomics (bulk, single-cell, spatial) * Epigenomics, proteomics, or multi-omics data * Design data preprocessing, feature engineering pipelines. * Implement models in Python using ...
Spatial Transcriptomics Omics information
What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Specialist, and why are they important?
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 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 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 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 popular job titles related to Spatial Transcriptomics Omics jobs in Florida? For Spatial Transcriptomics Omics jobs in Florida, the most frequently searched job titles are:
- Senior Malaria Research Scientist
- Plant Research Scientist
- Work From Home Research Scientist
- Urgently Hiring Battery Research Scientist
- Research Scientist Epidemiology
- Remote Research Scientist
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What job categories do people searching Spatial Transcriptomics Omics jobs in Florida look for? The top searched job categories for Spatial Transcriptomics Omics jobs in Florida are:
- Single Molecule Microscopy
- Assistant Immunofluorescence
- Research Scientist In Biology
- Freelance Biology Research Assistant
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- Research Python
- Before School Research Scientist Mechanical Engineering
- Research Molecular Biology
- Postdoc In Microbial Genomics
- Generative Ai Physics
What cities in Florida are hiring for Spatial Transcriptomics Omics jobs? Cities in Florida with the most Spatial Transcriptomics Omics job openings:
Assistant Scientist - Nephrology - Quantitative Health
University of FloridaGainesville, FL • On-site
Full-time
Posted 11 days ago
University Of Florida rating
7.2
Based on 108 frontline employees who took The Breakroom Quiz
334th of 539 rated colleges and universities
Job description
Assistant Scientist - Nephrology - Quantitative Health
Job no: 540195
Work type: Non-Tenure-Track Faculty
Location: Main Campus (Gainesville, FL)
Categories: Medicine/Physicians
Department:29051308 - MD-MED QUANTITATIVE HEALTH
Classification Title:
AST SCTST
Classification Minimum Requirements:
Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and have completed at least 2-3 years of postdoctoral research experience. Candidates must also demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications. Additionally, candidates must have:
Job Description:
The Department of Medicine at the University of Florida invites applications for a full-time, non-tenure-track faculty position at the Assistant Scientist level. The successful candidate will join the Computational Microscopy Imaging Laboratory (CMIL), directed by Dr. Pinaki Sarder, a research group at the forefront of computational pathology, artificial intelligence, and microscopy image analysis applied to biomedical discovery.
The successful candidate will contribute to cutting-edge research at the intersection of deep learning, digital pathology, and multi-omics data integration, with a strong emphasis on kidney disease, particularly, diabetic kidney disease. The position offers an exceptional opportunity to work in a highly collaborative, team-based research environment and to play a meaningful role in advancing AI-driven solutions for understanding complex renal pathologies.
Research Focus Areas
About the University of Florida
The University of Florida, a member of the Association of American Universities (AAU), is the largest and most comprehensive public university in the State of Florida, with large undergraduate, graduate, and postgraduate educational programs. The UF Health Science Center and its six colleges are co-located on the Gainesville campus, with additional teaching, research, and patient care sites in Jacksonville, Orlando, and other sites across Florida and internationally. Resources available for professional development include leadership, education, and research tracks within a Clinical and Translational Science Institute (CTSI), formal mentorship programs, and supported opportunities for teaching and research.
Expected Salary:
Salary is negotiable and commensurate with education and experience.
Minimum Requirements:
Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and have completed at least 2-3 years of postdoctoral research experience. Candidates must also demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications. Additionally, candidates must have:
Preferred Qualification:
Special Instructions to Applicants:
Interested candidates are encouraged to submit a current curriculum vitae (CV) via the University of Florida's online application system. The ideal candidate will be highly motivated, scientifically rigorous, and enthusiastic about working in an interdisciplinary and collaborative team environment.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 11 Jun 2026 Eastern Daylight Time
Applications close: 25 Jun 2026 Eastern Daylight Time
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Job no: 540195
Work type: Non-Tenure-Track Faculty
Location: Main Campus (Gainesville, FL)
Categories: Medicine/Physicians
Department:29051308 - MD-MED QUANTITATIVE HEALTH
Classification Title:
AST SCTST
Classification Minimum Requirements:
Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and have completed at least 2-3 years of postdoctoral research experience. Candidates must also demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications. Additionally, candidates must have:
- Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, TensorFlow) and large-scale image analysis libraries (e.g., large_image by kitware)
- Hands-on experience with whole slide image analysis and computational pathology workflows
- Proficiency in Python and scientific computing libraries
- Experience with version control systems (e.g., Git/GitHub)
- Experience with high-performance computing (HPC) environments and large-scale data processing
Job Description:
The Department of Medicine at the University of Florida invites applications for a full-time, non-tenure-track faculty position at the Assistant Scientist level. The successful candidate will join the Computational Microscopy Imaging Laboratory (CMIL), directed by Dr. Pinaki Sarder, a research group at the forefront of computational pathology, artificial intelligence, and microscopy image analysis applied to biomedical discovery.
The successful candidate will contribute to cutting-edge research at the intersection of deep learning, digital pathology, and multi-omics data integration, with a strong emphasis on kidney disease, particularly, diabetic kidney disease. The position offers an exceptional opportunity to work in a highly collaborative, team-based research environment and to play a meaningful role in advancing AI-driven solutions for understanding complex renal pathologies.
Research Focus Areas
- Computational pathology and digital pathology, with application to kidney disease and diabetic kidney disease
- Deep learning and AI model development for histological and microscopy image analysis
- Whole slide image (WSI) analysis and quantitative microscopy
- Spatial transcriptomics and multi-omics data integration
- High-performance computing and scalable biomedical data analysis pipelines
About the University of Florida
The University of Florida, a member of the Association of American Universities (AAU), is the largest and most comprehensive public university in the State of Florida, with large undergraduate, graduate, and postgraduate educational programs. The UF Health Science Center and its six colleges are co-located on the Gainesville campus, with additional teaching, research, and patient care sites in Jacksonville, Orlando, and other sites across Florida and internationally. Resources available for professional development include leadership, education, and research tracks within a Clinical and Translational Science Institute (CTSI), formal mentorship programs, and supported opportunities for teaching and research.
Expected Salary:
Salary is negotiable and commensurate with education and experience.
Minimum Requirements:
Applicants must hold a PhD in computer science, electrical engineering, biomedical engineering, or a closely related field, and have completed at least 2-3 years of postdoctoral research experience. Candidates must also demonstrate a strong record of research productivity and scholarly achievement, as evidenced by peer-reviewed publications. Additionally, candidates must have:
- Demonstrated expertise in deep learning and AI frameworks (e.g., PyTorch, TensorFlow) and large-scale image analysis libraries (e.g., large_image by kitware)
- Hands-on experience with whole slide image analysis and computational pathology workflows
- Proficiency in Python and scientific computing libraries
- Experience with version control systems (e.g., Git/GitHub)
- Experience with high-performance computing (HPC) environments and large-scale data processing
Preferred Qualification:
- Prior research experience in kidney disease, with specific expertise in diabetic kidney disease highly preferred
- Experience with spatial transcriptomics and multi-omics data integration
- Familiarity with microscopy imaging modalities relevant to renal pathology
- Track record of or demonstrated potential for independent grant writing and funding acquisition
- Experience mentoring junior researchers, graduate students, or undergraduate trainees
- Strong written and verbal communication skills, with a collaborative research approach
Special Instructions to Applicants:
Interested candidates are encouraged to submit a current curriculum vitae (CV) via the University of Florida's online application system. The ideal candidate will be highly motivated, scientifically rigorous, and enthusiastic about working in an interdisciplinary and collaborative team environment.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised: 11 Jun 2026 Eastern Daylight Time
Applications close: 25 Jun 2026 Eastern Daylight Time
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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Gainesville, FL, US
Year founded
1853