Research Associate-I

LanceSoft Inc

Spring House (PA)

On-site

USD 85,000 - 120,000

Full time

14 days+
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Job summary

LanceSoft Inc. is seeking a researcher with a BS/MS in Biological Sciences and hands-on cellular immunology or cell biology experience. The role requires independent work, strong quantitative skills, and capability to interpret data using standard software.

You will contribute to projects in a fast-paced, matrixed environment. Responsibilities include immune cell isolation and culture, performing ELISA, MSD, and Luminex assays, and maintaining rigorous documentation.

Qualifications

  • BS/MS in Biological Sciences with research experience in cellular immunology or cell biology.
  • Hands-on experience with cell culture and aseptic technique.
  • Experience with immune cell isolation, immune cell culture, ELISA, MSD, and Luminex assays.

Responsibilities

  • Perform immune cell isolation and culture with strict aseptic technique.
  • Apply a range of assays (ELISA, MSD, Luminex) to study immune responses.
  • Analyze data and maintain thorough experimental documentation.
  • Collaborate in a fast-paced, matrixed environment and communicate findings clearly.

Skills

Cell culture techniques
Immunology knowledge
Data analysis
Collaborative teamwork

Education

BS/MS in Biological Sciences

Tools

ELISA
MSD
Luminex
T-cell culture

Job description

The candidate should have a BS/MS in biological sciences with research experience in cellular immunology and/or cell biology including significant hands-on experience performing cell culture and following proper aseptic technique. The successful candidate will be able to apply different research techniques in the work including immune cell isolation, immune cell culture, ELISA, MSD, and luminex assays. Experience with assays using purified immune cells, T-cell culture, and hybridoma generation would be ideal. The candidate should have a good understanding of immunology and/or cell biology, be able work independently, have strong quantitative skills, and be familiar with basic data analysis software and data interpretation. Good organizational skills, experimental documentation, and a proven ability to work collaboratively in a fast paced, highly matrixed, interactive environment is essential.

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