About NewLimit

NewLimit is a biotechnology company working to radically extend human healthspan. We’re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.

Position

NewLimit is seeking an experienced scientist with a background in single cell genomics to lead our Single Cell Technology group. Single cell genomics is one of the key enabling technologies for our research program, allowing us to measure the transcriptional and epigenetic state of millions of cells to guide the design of our therapies.

As the leader of our Single Cell Technology team, you will:

• Lead a team of Scientists and Research Associates to design, implement, and improve single cell genomics technologies while remaining involved in day-to-day execution
• Contribute to the design, decision making, and implementation of NewLimit’s technology platform
• Collaborate with our Epigenetic Editing team to perform large-scale, single cell perturbation experiments with custom chemistries
• Collaborate with our Predictive Modeling team to analyze single cell experiments and improve profiling methods
• Develop multi-modal single cell assays that leverage and improve upon state-of-the-art methods (e.g. mRNA + ATAC profiling, scCUT&TAG, combinatorial indexing methods)
• Perform and analyze single cell genomics experiments leveraging multiple technologies

Requirements

• Ph.D. in molecular biology, genomics, or a related field or equivalent industry experience (5+ years)
• Experience performing single cell genomics experiments (sample preparation, library preparation, sequencing)
• Working knowledge of single cell bioinformatics tools (demultiplexing, alignment, quality control analysis) — advanced computational skills are not required, we can train you
• Experience with standard molecular biology workflows — cloning, PCR, standard transfection/transduction techniques

Nice to have

• Experience managing cross-functional teams
• Experience with split-pool based single cell profiling methods
• Experience working with primary cells and tissue samples
• Strong Python programming and Unix workflow management skills
• Experience with epigenetic reprogramming methods
• Experience with single cell screening techniques — Perturb/CROP-seq, sci-Plex, Reprogram-seq, and similar methods