Bioinformatician

Bioinformatics workflows for analyzing various omics data.

R programming language. Python and/or SQL and/or Machine Learning knowledge is an advantage (optional).

Align the bioinformatics workflows to the business goals.

Work remotely in a fast grown startup.

Develop or customize new software applications to meet specific scientific project needs.

Communicate research results through conference presentations, scientific publications, or project reports.

Create novel computational approaches and analytical tools as required by research goals.

Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.

Develop data models and databases.

Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.

Design and apply bioinformatics algorithms, including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.

Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.

Improve user interfaces to bioinformatics software and databases.

Create or modify web-based bioinformatics tools.

Confer with departments such as marketing, business development, and operations to coordinate product development or improvement.

Collaborate with software developers in the development and modification of commercial bioinformatics software.

CV and Interview.