Early Research & Development Scientist (Assays, Staining)

Our
client, a world leader in biotechnology and life sciences, is looking for
a “Early Research & Development Scientist”
based out of Tucson, AZ.

Job Duration: Long Term Contract (Possibility Of
Extension)

Pay Rate : $45 - $47/hr on W2 DOE

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

We are seeking a Scientist to support
research, early product development, and process optimization within the
pathology assay space. This role focuses on developing staining technologies,
executing laboratory research, and applying scientific principles to drive
innovation in diagnostics.

Key Responsibilities:

·       Design and
execute laboratory research and assay development strategies for new and
existing products.

·       Develop and
optimize staining formulations and processes.

·       Conduct
experiments, analyze data, and implement process and documentation improvements.

·       Apply Design
of Experiments (DOE) and scientific methodologies to solve complex problems.

·       Maintain
accurate laboratory documentation and ensure compliance with GMP, GLP, and
Design Control standards.

·       Prepare
technical reports, protocols, and present findings to cross -functional teams.

·       Contribute
to intellectual property (patents) and innovation initiatives.

·       Collaborate
with internal teams and act as a technical subject matter expert when needed.

Required Skills & Experience:

·       Hands -on
experience with cell culture and live cell maintenance.

·       Strong
foundation in molecular biology, assay development, and data analysis.

·       Experience
applying DOE and experimental design principles.

·       Excellent
analytical, documentation, and communication skills.

Preferred Qualifications:

·       Experience
in tissue diagnostics and immunohistochemistry (IHC).

·       Knowledge
of primary and special staining techniques.

·       Familiarity
with Digital Pathology, image analysis, and ELN systems.

·       Experience
with organoid/spheroid models and AI -based data analysis tools.

·       Exposure to
Agile/SAFe methodologies is a plus.

If interested, please send us your updated resume at

[email protected]/[email protected]