Sanegene Bio USA, Inc. is a biopharmaceutical company focused on research and development of nucleic acid-based medicines. Using our proprietary platform technology, Sanegene is committed to developing RNA based therapies with the potential to treat both rare and more prevalent diseases.
We are searching for a Bioinformatics Specialist to support the computational analyses at Sanegene Bio. This position can be on-site in Boston, MA or completely remote.
Duties and Responsibilities
Perform in-depth search of gene, transcript, protein, and variant data using publicly available resources at NCBI, Ensembl, and elsewhere
Prepare detailed reports incorporating information about alternate splice variants, alternate promoter usage, alternate polyadenylation and isoform-level gene expression in various tissues.
Retrieve large publicly available datasets, bulk-process, analyze and/or compute additional metrics to produce reports that meet pre-specified requirements.
Perform computational analyses, integration, and modeling of diverse datasets, including bulk RNA-seq, Iso-seq and single cell RNA-seq.
Produce visualizations in the form of genome browser tracks, graphs, figures and PowerPoint presentations to convey pertinent information and relevant conclusions. Develop code that generates siRNAs meeting pre-defined set of rules and process sequence data per company specifications.
Process data to compute specific metrics, query and filter based on pre-defined parameters and generate plots.
Ph.D. in bioinformatics, computational biology or related discipline with an excellent background knowledge of molecular biology and genomics.
Minimum of two (2) years of experience working in a bioinformatics team. Thorough knowledge of public databases and tools from NCBI, Ensembl and UCSC. Proven track record of analyzing next-gen sequencing data, specifically RNA-seq data Proficient in the operation and maintenance of systems running Unix/Linux.
Proficient in at least one scripting language, preferably Python, and performing bulk data analysis on the Unix command line.
Programming experience in environments such as Linux, Bioconductor, R, SQL, Perl and/or Python. Desired