Scientist, Cell Therapy Process Development - R - 100736 - San Diego, CA
- Employer
- National Resilience
- Location
- San Diego County, California, US
- Salary
- Competitive
- Closing date
- Jan 15, 2022
View more
- Sector
- Academic / Research
- Field
- Informatics / GIS, Development
- Discipline
- Other
- Salary Type
- Salary
- Employment Type
- Full time
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Position Summary
This role will be responsible advancing Resilience R&D's knowledge of cell processing methods through innovative experimental design and efficient execution. The ideal candidate will have a proven track record in successfully developing new cell manufacturing techniques and reagents, working closely with a multidisciplinary team of scientists and engineers. They will be design and perform experiments using state-of-the-art approaches - integrating cutting edge technology, automation, and data science where appropriate. This role requires excellent communication and creativity, backed by a high level of velocity and rigor.
Job Responsibilities
Qualifications
Preferred Experience
This role will be responsible advancing Resilience R&D's knowledge of cell processing methods through innovative experimental design and efficient execution. The ideal candidate will have a proven track record in successfully developing new cell manufacturing techniques and reagents, working closely with a multidisciplinary team of scientists and engineers. They will be design and perform experiments using state-of-the-art approaches - integrating cutting edge technology, automation, and data science where appropriate. This role requires excellent communication and creativity, backed by a high level of velocity and rigor.
Job Responsibilities
- Drive innovation through development of novel cell processing hardware and workflows to manufacture autologous cell therapies.
- Design, execute, and interpret data from sophisticated experiments and clearly communicate key findings to teams within Resilience R&D.
- Perform process characterization, optimization, and comparability studies, as required.
- Perform practical beta-testing of new hardware and applications by adjacent technical teams.
- Prepare and follow standard operating procedures, batch records, and other process documentation.
- Analyze and document experimental data in electronic laboratory notebooks in a timely and accurate manner in accordance with the company quality management system.
- Mentor research associates in proper laboratory techniques and scientific experimental design.
- Attend and present scientific data to colleagues at internal meetings.
- Participate in daily Agile stand-ups and weekly sprints with other members of the research team.
Qualifications
- PhD degree in Biology, Engineering, Medicine or related discipline with 1-3 years of laboratory research or industry experience.
- 3+ years of expertise in cell processing hardware and processes for T-cell, HSC, B, or other specific cell therapy manufacturing process.
- Extensive hands-on experience in with commercial cell processing systems (Miltenyi Prodigy, Lonza Cocoon, Xuri Wave).
- Demonstrated independent problem solving and systematic data-driven experimental design and execution.
- Demonstrated ability to clearly communicate technical information and roadmaps through written protocols and/or presentations containing clean figures and visualizations.
- Innovative and analytical thinker with outstanding interpersonal, communication, and leadership skill.
- Must be highly disciplined and organized, self-motivated and enthusiastic about taking a hands-on approach to collaborative scientific discovery efforts.
Preferred Experience
- Expertise in CRISPR and vector design and related annotation tools
- Expertise in designing PCR and NGS assays for genome engineering
- Statistical analysis of genotypic, gene expression data in bulk and single cell samples
- Knowledge of viral vector design (AAV, Lentivirus, Gamma retrovirus) and vector manufacturing processes.
- Experience in setting up and working within a GxP environment
- Exposure to pre-clinical R&D and IND filing requirements for a cell and gene therapy products
- Experience in interfacing with laboratory automation (e.g. automated liquid handlers) and data analysis software.
- Experience with coding and running bioinformatics scripts (Python, numpy, scipy, pandas, jupyter).
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