Senior Research Associate, Single Cell Screening
About The Position
We are seeking a highly skilled and motivated Senior Research Associate with a strong background in single-cell RNA-seq to join the Virtual Cell Initiative at Arc Institute. In this role, you will contribute to the generation of large-scale single-cell perturbation datasets across 50+ cancer cell lines to train Virtual Cell models to make accurate predictions of cellular state and their response to intervention. You will use your experience implementing single-cell genomics technologies to scale our workflows for generating high-quality scRNA-seq datasets and contribute to critical data generation for Arc’s Virtual Cell Initiative. As part of a highly collaborative team, you will have opportunities to build expertise in cell line engineering, mammalian cell culture, and CRISPR screening. This role is ideal for someone who is detail-oriented and motivated by optimizing experimental workflows. The successful candidate will have excellent time management and communication skills and will thrive within our vibrant and collaborative culture.
Requirements
- BS + 4 years or MS + 2 years of professional experience in cellular biology, molecular biology, biochemistry, neuroscience, or another relevant field.
- Expertise in running single cell RNA-seq workflows, including cell sample preparation, single cell capture, and library preparation. Experience with 10X Genomics technology is a plus.
- Hands-on experience with common molecular biology techniques, including PCR/qPCR/ddPCR, DNA and RNA purification, and nucleic acid QC and quantification (e.g., TapeStation, Qubit).
- Proficiency in aseptic technique for culturing mammalian cell lines.
- Strong attention to detail and ability to follow experimental protocols precisely.
- Experience using an ELN to document your work and track biological material. Familiarity with Benchling is a plus.
- Excellent written and verbal communication skills and a collaborative mindset.
Nice To Haves
- Experience working in an industry setting is desirable but not required.
- Experience implementing liquid handling solutions or automation for molecular biology workflows.
- Familiarity with performing large-scale pooled CRISPR screens.
- Proficiency in flow cytometry or cell sorting for single cell sample preparation.
- Experience with software for data analysis and visualization. Familiarity with analyzing data using Python, R, or another high-level programming language is a plus.
Responsibilities
- Execute single cell genomics workflows, including sample processing, NGS library preparation, and QC.
- Support Arc’s Virtual Cell Initiative CRISPR screening efforts by working collaboratively to generate large in vitro gene perturbation datasets across many cell contexts.
- Optimize and troubleshoot our single cell sequencing and CRISPR screening workflows to maximize data quality, diversity, and scalability.
- Streamline high throughput experiments by implementing automation solutions.
- Utilize project management systems to track progress and ELN/LIMS systems to document experimental data.
- Communicate experimental progress and results at group and cross-functional meetings.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
