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 computational biologist/Biophysicist position will apply new algorithms and develop new cell modeling tools in areas of interest to the company. Candidates should have expertise in application aspects of following areas:
Deep understanding of system biology such as biological network motif and robustness of biological system.
Familiar with boolean network modeling, ODE modeling, or Stochastic simulation algorithm and related analysis tool
Extract and analysis multi-omics data from public databases using ML and DL tools.
Identify and implement state-of-the-art data analytics and machine learning methods.
H1B will be provided to qualified candidate
Position Requirements
PhD in Computer Science, Applied Mathematics, Bioinformatics, Computational Biology or related discipline
Strong understanding of theoretical and application aspect of system biology and cell modeling.
Experience and understanding with mathematical modeling of cell signaling network.
Familiar with the analysis and use of public databases
Experience in applying machine learning and deep learning tools to analyze biological data and processes.
Ability to work independently and within a team.
Please send your CV with complete list of publications to career@synlico.com and label "from ISCB" in your email title