Cell Therapy Quality Control Specialist Flow Cytometry
Advanced Biotherapy Center
Sheba Medical Center, Tel Hashomer
We are looking for a highly motivated individual to perform analytic assays for experimental cell and gene therapies for patients in clinical trials. Your main focus will be on designing and performing flow cytometery assays. You will also perform assays using various techniques including qPCR, ddPCR, ELISA, and bacterial culture.
You will work with various TEST materials including viral vectors, cell banks, primary human cells, and human blood. You will be part of a small team performing required QC assays for both Sheba projects and outside customers. Experience with analytic assays and cell culture in biotech, or pharma laboratory is preferred.
Excellent written English is required. This work may lead to publications in scientific journals and will support clinical trials for treatment of patients with cancer and other types of disease.
Sheba Medical Center is developing and manufacturing new cell and gene therapies for patients with serious diseases. The job holder will report to Dr. Jonathan Esensten at Sheba Medical Center.

Required Senior Computational Biologist
About the role:
You will play a pivotal role in our deep analytics group that is instrumental in building and refining our core single-cell representation models. These models are designed to synthesize extensive molecular data and metadata, linking therapies, indications, data modalities, and biological systems to drug trial outcomes. You will work with and mentor a multidisciplinary team of machine learning engineers, computational biologists, and immunologists whose purpose will be to build a machinery that helps with the biological interpretation of our models to produce robust biological insights.
Location: Tel Aviv, Israel
What will you do?
Research, develop, and deploy state-of-the-art capabilities to interpret our representation models based on single-cell data from immunological datasets
Develop and own scalable production of the interpretation pipeline
Bring in latest advancements in single-cell omics and machine learning to create innovative products
Collaborate with stakeholders across software engineering, computational biology, and immunology to maximize the impact of your products
Mentor and provide technical guidance to team members.