Senior CRISPR Screening Scientist - iPSC Platform Lead

Broad Institute of MIT and Harvard

Burlington (MA)

On-site

USD 115,000 - 162,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Paid holidays

Job summary

The Broad Institute of MIT and Harvard seeks a Senior Research Scientist to lead high-throughput CRISPR screening, focusing on iPSCs. You will design, execute, and analyze pooled CRISPR screens across cellular models, guiding library design, transduction, and readouts like scRNA-seq, NGS, or imaging.

You will manage iPSC differentiation to neurons, cardiomyocytes, and other lineages for screening applications.

Qualifications

  • Pooled CRISPR screening experience is mandatory.
  • Deep expertise in iPSC culture and differentiation protocols.
  • Molecular cloning and library prep expertise required.
  • Experience with sRNA-seq/NGS readouts is preferred.

Responsibilities

  • Design and execute pooled CRISPR screens across diverse cellular models, including iPSCs.
  • Lead iPSC screening platform management and differentiation to relevant lineages.
  • Develop and optimize screening protocols and cell-to-data workflows.
  • Collaborate with researchers to translate biological questions into robust assays.
  • Oversee data interpretation with computational biologists and validate hits.
  • Mentor a team of Research Associates and ensure lab safety and compliance.
  • Scale screening infrastructure and manage reagent production.

Skills

Pooled CRISPR screening
iPSC culture
Molecular cloning
NGS library preparation
qPCR/ddPCR
Data QC

Education

PhD in Molecular Biology, Genetics, Bioengineering or related field
Master's degree with 8+ years specialized experience

Tools

Hamilton
Beckman
Agilent
Gibson assembly
Golden Gate

Job description

The Broad Institute of MIT and Harvard seeks a Senior Research Scientist to lead high-throughput CRISPR screening, focusing on iPSCs. You will design, execute, and analyze pooled CRISPR screens across cellular models, guiding library design, transduction, and readouts like scRNA-seq, NGS, or imaging.

You will manage iPSC differentiation to neurons, cardiomyocytes, and other lineages for screening applications.

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