Bioinformatics Scientist Co-Op Job at ElevateBio, Waltham, MA

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  • ElevateBio
  • Waltham, MA

Job Description

ElevateBio is a technology-driven cell and gene therapy company, accelerating access to the cutting-edge technologies and expertise to change the future of medicine. Our integrated technologies model offers turnkey scale and biotechnological capabilities to power genetic medicines processes, programs, and companies to their full potential. The Role: ElevateBio is looking for a motivated co-op or intern to support the Bioinformatics team housed in the Next-Generation Sequencing (NGS) Core at ElevateBio Basecamp. Here’s What You’ll Do: In collaboration with our sequencing core’s wet lab, run and manage a comprehensive sequencing project with a bioinformatics lens. Such projects could include 1) a project comparing the performance and outcome of automated versus manual sample library preparation (e.g., for RNA-seq or DNA target capture). 2) CRISPR single cell RNA-seq screening to compare phenotypes of edited vs unedited human cells. For either project, the Co-Op will help plan the experimental design with wet lab, observe sequence preparation in lab, review sequence run performance, run (and adjust as needed) a processing pipeline in AWS, and analyze results using relevant tools. Other routine Co-Op tasks will include cloud-based data transfer, presenting to the NGS Core Team/larger groups, and supporting other bioinformatics projects as needed (e.g., run processing pipelines and analysis). Collaborate on sequencing experimental design with the NGS Core wet lab and observe sample preparation Review sequence performance Prepare visualizations to convey complex findings (Python/R) Assist in routine tasks such as data transfers, present findings at team or department meetings, run other processing pipelines and NGS analysis Requirements: Graduate or undergraduate student working towards a degree in bioinformatics, computational biology, genomics or similar Experience using or knowledge of common bioinformatic tools such as tools involved in quality control, alignment, and quantification or variant calling of NGS data Experience with at least one programming language (preferably R or Python) Experience with or knowledge of cloud computing (AWS is a plus) Comfortable with fast pace, team-oriented environments Why Join ElevateBio? ElevateBio is a technology-driven company built to power transformative genetic medicines today and for many decades to come. The Company commercializes its enabling technologies, manufacturing capabilities, and industry-leading expertise through partnerships to accelerate development across a breadth of therapeutic approaches and modalities. The ElevateBio ecosystem combines multiple R&D technology platforms – including Life Edit, a next-generation, full-spectrum gene editing platform; comprehensive cell engineering technologies; and an expanded viral and non-viral therapeutic delivery platform – with BaseCamp, its end-to-end genetic medicine cGMP manufacturing and process development business, to accelerate the discovery and development of advanced therapeutics. We aim to be the dominant engine inside the world’s greatest scientific advancements harnessing human cells and genes to alter disease. Our Mission: To power the creation of life-transforming cell and gene therapies, at a speed the world deserves. Our Vision: We seek to be the world’s most indispensable cell and gene therapy technology company, redefining how companies operate, how products are created and how disease is treated. ElevateBio is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. ElevateBio will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. #J-18808-Ljbffr ElevateBio

Job Tags

Internship,

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