Opening job: Researcher – Experimental biology for a startup company in Rehovot – Industry experience is required
Job Number: 20595
Job Summary:
A biotech company in a “stealth mode, backed by a prominent Venture Capital group, developing novel synthetic vectors for gene and cell therapy applications, is looking for a Researcher – Experimental biology.
Building upon recent breakthroughs in mRNA and in vivo delivery technologies, the company’s core technology holds the potential to become a new category in genetic medicine.
Location: Rehovot, Israel
Responsibilities:
Participate in the design and development of a transformative genome engineering technology, using a high throughput platform and advanced synthetic biology techniques, to execute screening workflows through proof-of-concept studies, enabling their translation into genetic and cellular therapies.
• Performing experiments in a wet laboratory (80% of the job).
• Record, analyze and present experimental data.
• Maintain expertise in the field by staying current to relevant literature.
• Work cross-functionally with other groups.
• Participate in the design and development of a transformative genome engineering technology.
• Support other team members in troubleshooting and resolving scientific issues.
Requirements:
• PhD or MSc with relevant industry experience in molecular biology, cell biology, genetics, and/or related fields
• At least 3 years of industry Experience in Mammalian cell culture experimentation techniques, including transfection, electroporation, RNA and genomic DNA extraction, culturing primary cells and performance of various cell-based assays and screens
• Experience in RNA biology, genetic engineering, FACS analysis –advantage
• Experience working primary human hepatocytes –advantage.
• Excellent interpersonal skills, can-do attitude, mission driven with attention to details and troubleshooting mindset
• Outstanding teamwork, able to work effectively in a dynamic, fast-paced and a fast-growing environment
• Flexible to shifting priorities and variable workloads