Bioinformatics With Python Programming

Job description We are seeking highly motivated individuals to be a part of an expanding team of engineers, computational biologists and bioinformatics scientists as we build the next-generation molecular imaging platforms for research, pharmaceutical development and clinical science. In this role, you will develop and integrate workflows related to spatial transcriptomics and other omics technologies. As new applications and assays are built by the company, you will work with the team and establish best practices for workflow optimization and pipeline creation. You will also help to integrate information from relevant bioinformatics databases to improve the richness of our downstream analysis. Your scripting and analytic skills will be invaluable for interpreting these high dimensional datasets and building the company's integrative frameworks. Qualifications BS in computer science, bioinformatics, or a related field (cell/ molecular biology, genetics, genomic science) and 2+ years hands on experience working with bioinformatics tools and datasets. Understanding and familiarity with common bioinformatics databases, resources and tools. 2+ years of coding and scripting in modern programming languages (C/C++, Java, Python, R). Experience ➤Preferable to have 3 years of experience with modern laboratory omics workflows for image processing, genome sequence analysis, and single cell genomics. ➤Desirable to have 2+ years of experience in building analysis pipelines and processing large-scale genomic datasets. ➤Preferable to have strong background in imaging workflows for digital pathology and spatial transcriptomics. ➤Experience with gene and protein pathway and network analyses and bioinformatics toolkits from the academic open source community. ➤Knowledge ➤Experience working with Docker or other containerization technologies ➤Experience with team-based software engineering and development (Agile, CI/CD, code review, etc.) ➤Support the validation of regulated clinical NGS products and technologies. ➤Author clear and precise reports and presentations for a variety of technical stakeholders ranging from clinical lab directors to bioinformatics peers. ➤Collaborate across bioinformatics, data engineering, software quality assurance, and technology development teams at both the product and corporate level. ➤Explore genomic data from clinical and research samples and external annotation sources to enhance the quality of clinical reporting. ➤Develop and maintain high-quality analytical tools supporting Tissue Genotyping bioinformatics and technology product development and operations. ➤Computational biology/bioinformatics, genomics, machine learning, or related fields, OR MS and 3+ years industry/academia experience. ➤Knowledge of cancer genomics, tumor biology, and/or molecular biology.