Data Science Leader for Stem Cell Research
5 days ago
The New York Stem Cell Foundation (NYSCF) is a pioneering nonprofit dedicated to accelerating cures through cutting-edge stem cell research. Our mission drives us to push the boundaries of what's possible, leveraging technology and innovation to unlock novel cellular phenotypes and disease insights.
About the RoleWe're seeking a highly skilled Data Science Leader to spearhead our AI and Data Science efforts in developing and deploying machine learning pipelines that extract disease-relevant insights from large datasets. This individual will oversee and perform data analysis, design infrastructure, and collaborate with an interdisciplinary team of biologists, automation specialists, researchers, and engineers.
Key Responsibilities- Lead and grow a team of data scientists specializing in AI/ML methodologies.
- Develop and deploy ML tools to unlock phenotypes in in-vitro cell models.
- Drive projects from inception to results, including designing cohorts to minimize batch effects and use AI and Computer Vision to identify morphological phenotypic differences between cohorts.
- Design High Content Imaging (HCI) screens to highlight phenotypic differences between cohorts.
- Work with teams to manage image data acquisition, storage, quality analysis, and transfer.
- Develop quality control and data visualization tools for developing and performing high-content screens.
- Communicate technical results and methods clearly, and interact cross-functionally with various people and teams.
- Collaborate with computational biologists to integrate complementary datasets, including omics, to produce multimodal models of human disease.
- Write and procure grants and scientific papers.
- PhD degree in a quantitative discipline or equivalent practical experience.
- Experience leading a team in the ML space, including interactions with engineers and scientists demonstrating experience beyond just analysis in developing pipelines and workflows.
- 5+ years of experience with Python.
- 5+ years of experience with exploratory and statistical data analysis, including linear models, multivariate analysis, predictive modeling, and stochastic models.
- 5+ years of experience extracting and cleaning data sets.
- 5+ years of experience in AI and Computer Vision.
- Familiarity with software engineering practices and experience developing production-ready code.
- Experience using cloud computing platforms, preferably AWS.
- Familiarity with microscopes, scientific imaging, and image analysis.
- Demonstrated ability to teach others and learn new techniques.
- Excellent analytical and communication skills.
The estimated salary range for this position is $160,000 - $200,000 per year, depending on experience. We offer a comprehensive benefits package, including medical, dental, and vision insurance, 403b retirement plan with immediate vesting schedule, short and long-term insurance, life insurance, paid parental leave program, pretax transit and parking, legal aid benefits, wellness benefits, vacation, sick, personal days, flexible holidays, summer flex program, and all company holidays.
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