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Spatial Transcriptomics Jobs in Kentucky (NOW HIRING)

$110 - $120/hr

D or equivalent experience in biology, chemistry or bioinformatics with strong skills in the analysis of Omics datasets (bulk/single-cell/spatial transcriptomics, WES, epigenomics, metabolomics and ...

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$227 - $276/hr

Target identification using genomics, transcriptomics, proteomics, spatial biology, and literature mining.* Target validation using in vitro and in vivo pharmacology.* Development of biochemical and ...

Spatial Transcriptomics information

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics scientist?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What are popular job titles related to Spatial Transcriptomics jobs in Kentucky?

For Spatial Transcriptomics jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Spatial Transcriptomics jobs?

Cities in Kentucky with the most Spatial Transcriptomics job openings:

Infographic showing various Spatial Transcriptomics job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

$110 - $120/hr

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Job description

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will focus on complex experimental and clinical bioinformatics data sets.

Responsibilities
  • Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas.
  • Effectively communicate results in R&D and corporate meetings, prepare abstracts/manuscripts for publications and conferences.
  • Communicate with external stakeholders and vendors to recommend data capture technologies and pre-clinical experimental models best aligned with bioinformatics and wet-lab research objectives.
  • Implement and validate newly identified bioinformatics analytical advances using bioinformatics practices for reproducible and modular analysis (markdown documentation, r/v env locks, git, nextflow, snakemake, dockers, conda).
  • Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ML/AI integration to achieve efficient end-to-end analysis, scale-up, and predictive models.
  • Apply statistical predictive models (including AI) to wet-lab experiments and processes typically involved in drug discovery/development pipelines working with teams of scientists.
  • Prepare reports, presentations, abstracts, and manuscripts as required, following established standards for documentation, reproducibility of code and data integrity.
Qualifications
  • A Ph. D or equivalent experience in biology, chemistry or bioinformatics with strong skills in the analysis of Omics datasets (bulk/single-cell/spatial transcriptomics, WES, epigenomics, metabolomics and/or proteomics) in preclinical and clinical disease models.
  • Experience using Machine Learning/Artificial Intelligence tools in the context of Omics, single cell Atlases, clinical disease modeling and/or drug development pipelines.
  • Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments. Experience with developing user-facing tools for data visualization and reporting (Shiny, Plotly, Quarto, etc) would be desirable.
  • Strong understanding of cell biology especially with respect to basic biochemistry, cell signaling, cell replication, transcription, translation processes.
About Us

Celcuity is a commercial biotechnology company pursuing development of targeted therapies for treatment of multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), a potent, pan-PI3K and mTORC1/2 inhibitor that comprehensively blockades the PAM pathway. REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on prior endocrine therapy in the metastatic setting.

The Phase 3 VIKTORIA-2 trial is evaluating gedatolisib in combination with palbociclib and either fulvestrant or letrozole for the first-line treatment of HR+/HER2- locally advanced or metastatic breast cancer. A Phase 1/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is ongoing.

Celcuity is an Equal-Opportunity Employer.

Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $110,000 - $120,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate’s geography, qualifications, skills, and experience.

The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.

Notice to Recruiters/Staffing Agencies

Recruiters and staffing agencies should not contact Celcuity through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees directly.

We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file. Celcuity’s receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Celcuity and such organization and will be considered unsolicited. Celcuity will not be responsible for related fees.

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