Job description
Overview:
Canopy Bioscience is part of the Bruker family. As one of the world’s leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development. All our systems and instruments are designed to improve safety of products, accelerate time-to-market and support industries in successfully enhancing quality of life. We’ve been driving innovation in analytical instrumentation for 50 years. Today, worldwide more than 6,000 employees are working on this permanent challenge, at over 70 locations on all continents.
We are searching for an associate bioinformatics scientist to facilitate the design, analysis, visualization, and interpretation of NGS and other multi-omic data sets. This opportunity offers the chance to work in a fast-paced environment with a dedicated and collaborative, international team. Reporting to the Director of Operations, the successful candidate will significantly contribute to the continued development and support of multiple cutting-edge genomic and cellular technologies. Responsibilities:
Canopy Biosciences, a Bruker Company, is a rapidly growing and fast-paced biotechnology company located in beautiful Midtown St. Louis. We are committed to providing cutting-edge, multi-omics products and services to the academic and biotech research community. We are a team of dedicated scientists, passionate about our work and intent on making a difference in the pursuit of better drugs and technologies. We offer comprehensive benefits that give our employees the right environment where they can thrive. We seek to expand our team with the right individuals who are passionate about their work, desire to both contribute and learn, have a flexible mindset, and want to grow with Canopy Biosciences.
Canopy Bioscience is part of the Bruker family. As one of the world’s leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development. All our systems and instruments are designed to improve safety of products, accelerate time-to-market and support industries in successfully enhancing quality of life. We’ve been driving innovation in analytical instrumentation for 50 years. Today, worldwide more than 6,000 employees are working on this permanent challenge, at over 70 locations on all continents.
We are searching for an associate bioinformatics scientist to facilitate the design, analysis, visualization, and interpretation of NGS and other multi-omic data sets. This opportunity offers the chance to work in a fast-paced environment with a dedicated and collaborative, international team. Reporting to the Director of Operations, the successful candidate will significantly contribute to the continued development and support of multiple cutting-edge genomic and cellular technologies.
- Evaluate, design, and manage bioinformatic pipelines for omics-based data sets, including scRNA-Seq, spatial transcriptomics, and bulk RNA Seq.
- Cloud data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
- Provide bioinformatics support to R&D by analyzing and interpreting NGS and Spatial-omics data.
- Communicate with clients to explain NGS and gene expression results
- Work with IT specialists to maintain and scale our data storage infrastructure.
- Quality and Procedures – responsible for understanding experimental procedures performed to assure the accuracy and quality of results
- Work independently and be able to collaborate with scientists to make appropriate and timely decisions to meet deadlines on experiments and projects
- Minimum BS or MS in bioinformatics, computational biology, genetics, or related discipline with 1-3 years of relevant experience.
- Familiar with molecular biology, biological pathways, and genomics
- Proficiency in the use of bioinformatics software, packages, and databases
- Familiarity with the application of statistical analytical methods in genetic data analysis
- Experience with scRNA Seq or CITE-Seq workflows
- Experience with spatial transcriptomics technologies is a plus.
- Experiences in using high performance computing and storage systems
- Proficiency in a minimum of one programming language (e.g., Python, R), in a UNIX/Linux and/or Windows environment.
- Strong verbal and written communication skills
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