Postdoctoral Scholar
| Company | Penn State |
|---|---|
| Location | Hershey, PA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior |
Requirements
- PhD in Biology, Neuroscience, Systems Biology, or a related field with a focus on neurodevelopment, transcriptomics, or systems biology.
- Strong background in mouse models and neurodevelopmental experiments with proven wet lab skills.
- Expertise in spatial and single-cell transcriptomics techniques and experience analyzing large-scale, high-dimensional transcriptomic data.
- A record of high-quality publications in peer-reviewed journals, demonstrating a commitment to scientific excellence and innovation.
- Experience with data analysis pipelines, programming (e.g., Python, R), and bioinformatics software relevant to transcriptomic data.
- Excellent written and verbal communication skills, with a demonstrated ability to work both independently and collaboratively.
- A highly organized, detail-oriented approach to project management, with an ability to meet deadlines and adapt to evolving project goals.
Responsibilities
- Lead experiments to generate spatial and single-cell transcriptomic data across various developmental stages in knockout mouse models.
- Apply high-throughput molecular and cellular techniques to assess gene expression, spatial organization, and cellular diversity in neurodevelopmental contexts.
- Conduct rigorous data analysis using bioinformatics tools and frameworks to manage, analyze, and interpret transcriptomic data at multiple scales.
- Collaborate within a large consortium, contributing to multi-site data integration and reporting.
- Prepare research findings for publication and present data at national and international conferences.
- Contribute to the design and implementation of novel experimental approaches to address complex questions in neurodevelopment.
- Mentor graduate students and provide guidance on technical skills, data analysis, and scientific writing.
Preferred Qualifications
- Familiarity with neurodevelopmental disorder research or prior experience with genetic knockout models in mice.
- Experience managing and integrating multi-scale datasets, with knowledge of consortium-based data-sharing protocols and practices.
- Strong analytical skills for interpreting complex datasets, identifying meaningful patterns, and translating findings into impactful publications.