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Postdoctoral Research Scientist (Dr. Millie Embree's Laboratory)
Postdoctoral Research Scientist (Dr. Millie Embree's Laboratory)Columbia University • New York, NY, United States
Postdoctoral Research Scientist (Dr. Millie Embree's Laboratory)

Postdoctoral Research Scientist (Dr. Millie Embree's Laboratory)

Columbia University • New York, NY, United States
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  • [job_card.full_time]
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The Embree's Laboratory at Columbia University, College of Dental Medicine is recruiting a talented and motivated Postdoctorate Scientist to advance our NIH-funded program in skeletal biology, osteoarthritis, and regenerative medicine. Our group integrates mouse genetics, large-animal models, biomaterials, and sequencing approaches to uncover mechanisms of joint development and degeneration and to develop novel therapies.

Key Responsibilities

  • Mouse genetics & model development : Design, generate, and characterize new transgenic and knockout mouse models to investigate stem / progenitor cell fate, cell niches, and osteoarthritis pathogenesis.
  • Cell sequencing : Lead studies involving scRNA-seq, spatial transcriptomics, and multi-omics integration to define cell states in development and disease.
  • Bioinformatics : Apply advanced computational tools to analyze sequencing datasets, identify molecular drivers of cell fate, and integrate data across species (mouse, rabbit, porcine, human).
  • Experimental biology : Contribute to complementary in vitro and in vivo assays, including biomaterial / hydrogel fabrication, primary cell culture, biomechanical testing, and histological analyses.
  • Maintain precise records (daily lab journals, animal logs) and ensure compliance with animal research standards.
  • Actively engage in weekly lab meetings and one-on-one mentoring sessions with Dr. Mildred Embree.
  • PhD (or equivalent) in genetics, bioinformatics, biomedical sciences, or related field.
  • Proven expertise in mouse genetics (breeding, colony management, CRISPR / Cas9 or other engineering methods) and / or bioinformatics (R, Python, Seurat, Cell Ranger, or comparable platforms).
  • Demonstrated track record with single-cell sequencing, spatial transcriptomics, or multi-omics pipelines strongly preferred.
  • Strong organizational skills and ability to work both independently and collaboratively.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

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