Laboratory Research Technician at The University of Pittsburgh
Pittsburgh, Pennsylvania, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

0.0

Posted On

08 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Pharmaceuticals

Description

LABORATORY RESEARCH TECHNICIAN

UPCI Research Lab-Uttam - Pennsylvania-Pittsburgh - (25004129)
We are seeking a full-time research technician to assist in multiplexed biomarker assay development for tumor microenvironment and systems immunology studies. The scope of work includes assay design and development, testing, quality control, validation, and application to basic, preclinical and clinical studies.
Primary responsibilities include developing standardized antibody labeling protocols for highly multiplexed immunofluorescence and immunohistochemistry assays and microscopy. Other responsibilities include preparing spatial transcriptomic and single-cell RNA-seq samples, performing RNA-FISH and cell culture work for research studies, maintaining lab inventory, training students, and ordering supplies. Applicant must have a B.S. in Biology, Molecular and Cellular Biology, Biochemistry, Pathology, or a related field. An MS degree will be preferred, however, BS with 2+ year experience will be equally considered.

JOB SUMMARY

Performs a variety of independent laboratory work and experiments such as determining experimental protocols and preparation of specimens and cultures. Prepares reports of findings subsequent to compilation and analyzation. Oversees specimen inventory. Develops documentation for publication; crafts manuscripts and grant proposals.

MINIMUM EDUCATION LEVEL REQUIRED

Bachelor’s Degree

WILL THIS POSITION ACCEPT SUBSTITUTION IN LIEU OF EDUCATION OR EXPERIENCE?

Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.

Responsibilities

Candidate must be able to perform some basic imaging and data analysis. Must be consistent, detailed, and organized

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