What are the responsibilities and job description for the Scientist III Immunology Discovery, Barreira Lab position at IT Engagements?
Greetings from IT Engagements
IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.
Job Summary
Job Title: Scientist III (Immunology Discovery, Barreira Lab)
Work Location: South San Francisco, CA
Working Model: Fully Onsite
Working Days: Monday through Friday
Working Hours: Standard 8-hour shift (40hrs/week)
Interview Format: Two Rounds (1. Hiring Manager [30 minutes], 2. Panel - on-site [60 minutes])
Job Summary
We are seeking a creative, self-motived, and collaborative Contractor/Scientist 3 to join the Department of Immunology. The selected candidate will contribute to groundbreaking research focusing on understanding the role of intracellular pathways in immune cell phenotype, migration to tissues and inflammation . This is a hands-on laboratory position. The successful candidate will implement and apply molecular biology, biochemistry, and cellular immunology to elucidate disease pathways and validate therapeutic targets. The role involves close collaborations with multidisciplinary teams to achieve research objectives.
Must Have (Technical/Non-Technical Skills)
- PhD (or equivalent) in immunology, cell biology, biochemistry or a related discipline
- Isolating immune cells for downstream analysis.
- Hands-on experience in cellular and molecular immunology techniques including primary cell isolation from human blood, in vitro immunological assays and multi-dimensional flow cytometry.
- Excellent oral/written communication skills and creative problem-solving are required
- Complements our culture and the standards that guide our daily behavior & decisions.
Nice to have
- Experience in cell engineering (e.g. protein overexpression methods, CRISPR-mediated KO techniques)
- Hands-on experience in collecting tissues from rodents (colon, spleen, lymph nodes, bone marrow)
- Analysis of data from single cell or bulk RNA-seq is preferred.
Regards,
Satya
Satya@Itengagements.com
Satya@Itengagements.com