Team
We have the greatest team of scientest coming both from computational and biological backgrounds working on various challenging problems that require high level knowledge of biology, computer science and bioinformatics.
Duygu Ucar, PhD
Associate Professor
Sathyabaarathi Ravichandran, PhD
Postdoctoral Associate
Eishani Sokolowski
Predoctoral Associate
Asa Thibodeau, PhD
Associate Computational Scientist
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Bioinformatics Analyst II
Bioinformatics Analysts work under the supervision of the PI, research scientist, or department head, to analyze complex bioinformatics research. Typical projects include, but are not limited to: all classes of High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc); experimental design; data integration; algorithm development; statistical analysis of data; development of workflows and implementing new analytical methods; evaluation/testing of software/database systems, analytical tools and technology; user interface, data, and functional requirements for software/database systems involving significant biological content; and delivering training to the research community. Characteristic distinctions from level I to level III include increased ability to work independently, increased breath of bioinformatics knowledge and tools, and increased understanding of the biological research domains. Level III analysts may pursue limited co-pi collaborations with research faculty. Senior/Lead supervises other bioinformatics employees and leads and manages bioinformatics projects, and may serve as co-pi to research faculty.
- MS or PhD degree in Statistics, Computer Science or relevant quantitative sciences.
- Strong desire to learn….
- Aptitude to…
Funding
Our work is mostly funded by National Institute of Health (NIH) Grants.
