Synlico is taking a different approach to understand biological system and process. The company is seeking talented, ambitious researchers to develop cutting-edge computational tools to understand individual cells and new technologies to enable more accurate prediction of biological system. The company’s research is highly interdisciplinary, involving system biology, genomics, bioinformatics, mathematics, and highly team oriented.
The bioinformatics scientist position will utilize single-cell, bulk and spatial transcriptomes as well as other omics data, public and internal, to generate biological interaction networks and model. The candidates will need to Identify and develop optimal algorithms and workflows to analyze large scale single cell/bulk/spatial transcriptomics datasets from internal, publicly available, commercial, and real-world datasets. He/She will develop and implement quality assessment, and data visualization for single cell/bulk/spatial transcriptomics data.
A Ph.D. in bioinformatics, genomics, computer science or related field with strong hands-on analytical experience of single cell, bulk and spatial sequencing data.
Familiar with building data analysis pipelines and visualization for single-cell, bulk and spatial sequencing data
Fluency in R/Python/TensorFlow for data analysis, multi-omics data integration, or molecular interaction network modeling
Experience with machine learning and network modeling approaches applied to biological systems
Demonstrated experience working with public database.
Ability to work independently and within a team
email CV to email@example.com