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Senior Research Associate in Single Cell Screening

Arc InstitutePalo Alto, CA
On-site Full-time $87K/yr - $114.3K/yr

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Experience Level

Senior

Qualifications

The ideal candidate will possess: A strong background in single-cell RNA sequencing methodologies. Experience in generating and analyzing large-scale genomic datasets. Proficiency in computational biology and data analysis tools. Excellent collaborative skills and a passion for advancing scientific knowledge.

About the job

About Arc Institute

Arc Institute is a pioneering scientific organization dedicated to curiosity-driven basic research and technological advancements aimed at understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with esteemed institutions such as Stanford University, UCSF, and UC Berkeley.

Emphasizing innovative institutional models, Arc Institute is committed to fostering significant research initiatives by:

  • Providing full funding for Core Investigators (PIs), allowing them to focus on groundbreaking research without the usual limitations of external grants.
  • Developing cutting-edge technologies in our Technology Centers, where we collaborate with Core Investigators to enhance and apply advanced experimental and computational methods.
  • Ensuring top-tier operational, financial, and scientific support, empowering scientists to engage in high-risk, high-reward research that can lead to advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction.
  • Cultivating a scientific culture that emphasizes curiosity, commitment to truth, ambition, and collaborative spirit.

Currently, Arc Institute has expanded to over 350 staff members and has secured more than $650 million in funding, with plans for rapid growth supported by our state-of-the-art laboratory facilities in Palo Alto.

About the Position

We are in search of a highly skilled Senior Research Associate with extensive experience in single-cell RNA sequencing to join our Virtual Cell Initiative at Arc Institute. In this role, you will play a pivotal part in generating large-scale single-cell perturbation datasets across over 50 cancer cell lines, facilitating the training of Virtual Cell models to accurately predict cellular states and responses to interventions.

Your expertise in implementing single-cell genomics technologies will be crucial for scaling our workflows to produce high-quality scRNA-seq datasets, contributing to the essential data generation for Arc’s Virtual Cell Initiative. Collaborating within a dynamic team, you will have opportunities to foster innovation and drive impactful scientific progress.

About Arc Institute

Arc Institute is at the forefront of scientific research, combining curiosity-driven exploration with cutting-edge technology to tackle some of the most pressing health challenges of our time. With a commitment to innovative institutional frameworks, we aim to create an environment where groundbreaking discoveries can thrive.

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