We are currently seeking an entry-level Ph.D. statistician to work in our in Frederick, Maryland office. The statistician will analyze gene expression measurements (RNA-seq, qPCR, microarray) and DNA sequencing reads to support new product development. This position requires both adapting existing algorithms and developing new algorithms for optimal use with specific data types and specific scientific problems. The position requires a strong combination of statistical analysis skill, biology knowledge, and programming ability. However, depth of skill and prior accomplishment in statistical analysis is more critical than biology knowledge or programming skill.
- Statistical analysis of complex high-dimension biological measurements (e.g. single-cell RNA-seq).
- Apply methods for inference of biological networks, e.g. gene co-expression, protein-protein-
interaction, cell signaling, etc.
- Actively publish in peer-reviewed journals in system biology, functional genomics, and bioinformatics.
- Evaluate emerging trends in applications (e.g. single-cell gene expression) and methods (e.g.
probabilistic splice-graphs for estimating transcript abundance).
- Use state of the art statistical methods to analyze gene expression measurements.
- Build data analysis pipelines that leverage algorithms developed by the academic community, but that
are also customized to specific applications.
- Monitor genomics literature to understand the market for applications of sequencing and expression
- Communicate with customers and collaborators regarding their data analysis needs.