Sr. Scientist I, Histology & Imaging (Metabolic Disease)
Zealand Pharma•Cambridge, MA
•$110,000 - $150,000
About The Position
As a Sr. Scientist in Histology & Imaging, you will run tissue preparation, staining, and imaging workflows end-to-end — from brain processing, staining, and confocal imaging, to data analysis and quantification. You will work hands-on at the bench and collaborate closely with in vivo Pharmacology and broader Biology colleagues to generate high-quality histological and imaging data supporting our metabolic disease research. You will also help build out automation-enabled staining and slide-scanning capabilities as the lab scales.
Requirements
- Ph.D. in Neuroscience, Physiology, Biology, or a related field, with 0–3 years of relevant industry or postdoctoral experience.
- M.S. in a related life sciences field, with approximately 3–6 years of relevant industry experience
- B.S./B.A. in a related life sciences field, with approximately 5–8+ years of relevant industry experience
- Solid understanding of basic brain and neuroanatomical structure with relevance to metabolic regulation
- Hands-on experience with tissue preservation, cryosectioning, and IF/IHC staining
- Experience with confocal microscopy, image quantification, and ideally automated staining/slide-scanning platforms
Nice To Haves
- Direct exposure to neuroanatomy and/or obesity, diabetes, or broader metabolic disease research.
- Innovative thinking and a strong hands-on track record, even without extensive industry tenure, are encouraged to apply.
- Recent Ph.D. graduates with strong hands-on histology/imaging skills are especially welcome to apply.
Responsibilities
- Perform rodent brain sample preservation and processing with attention to neuroanatomical structure
- Conduct immunofluorescence (IF) and IHC staining for biomarkers relevant to metabolic disease
- Operate and help implement automated staining and slide-scanning workflows to increase throughput, quality, and reproducibility
- Acquire and analyze images, including quantitative image analysis
- Support in vivo experiments as needed, working flexibly across the research team
- Maintain rigorous documentation and contribute to a strong data-quality and scientific-integrity culture
Benefits
- Salary Range: $110K - $150K/Year
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
