Job Summary
The Research Associate I, Genetic Medicine will be involved in a range of tasks including maintaining and banking mammalian cell cultures, as well as contributing to high-throughput nucleic acid manufacturing and quality control processes. The role encompasses cell-based assay development, transfections, flow cytometry, and various chromatography techniques for nucleic acids and proteins.
Responsibilities
- Assist senior scientists and engineers in progressing Genetic Medicine initiatives through high-throughput screening and cell engineering experiments.
- Conduct quality control on mRNA and circRNA using techniques such as sCGE, HTRF, HPLC, and endotoxin testing.
- Facilitate large-scale RNA and protein purification via chromatography methods.
- Manage the culture of both adherent and non-adherent mammalian cells.
- Design and implement functional cell-based assays for high-throughput applications.
- Collaborate with engineers to incorporate in vitro mammalian screens into automated platforms and software systems.
- Engage in cross-functional team meetings by attending, contributing, and presenting findings.
- Generate, assess, and document high-quality data utilizing internal laboratory information management systems (LIMS) and database tools.
- Oversee laboratory documentation and support laboratory organization and upkeep.
Qualifications
- Bachelor’s degree in a STEM field with a minimum of 1 year of laboratory experience after graduation, ideally in an industrial context.
- Proficiency in mammalian cell culture and developing cell-based assays.
- Experience in synthetic biology involving mammalian systems, such as library-based methodologies and construct design.
- Excellent organizational abilities, time management, and strong communication and interpersonal skills.
- Ability to thrive in a dynamic environment and adapt workload according to shifting priorities, along with a keen willingness to learn.
- Preferred familiarity with laboratory automation tools.
- Desirable experience with data analysis software such as Prism, Tableau, Python, R, and/or JMP.
- Preference for candidates with experience in nucleic acid purification techniques.
