The Biodesign Center for Personal Diagnostics (CPD, https://biodesign.asu.edu/personalized-diagnostics) in the Biodesign Institute within Arizona State University’s Knowledge Enterprise is seeking an experienced Assistant Research Professional, Bioinformatics Engineer/Scientist who will provide bioinformatics expertise to our highly diverse and active research groups in production and analysis of genome-scale data to gain insights on human physiology and diseases. This position primarily for analysis of next-generation sequencing (NGS) for multiple projects at CPD, especially at the LaBaer (https://biodesign.asu.edu/joshua-labaer) and the Park (https://biodesign.asu.edu/jin-park) laboratories, as well as external collaborative projects.
Our group is specialized in cancer biology and biomarker research aided by sophisticated genomics/proteomics applications, cell and animal models, and equipped with fully automated robotic systems for gene cloning, microarray production/processing, as well as next-generation DNA sequencers. We also have a strong expertise in developing high-throughput assays, biomarker panels/signatures, and predictive modeling for various health-related applications. In addition, we are operating web applications for public data and resource repositories, such as the plasmid repository DNASU (dnasu.org/DNASU/Home.do). To operate and support the high-paced research activities, we are working closely with the Genomics and Bioinformatics Core at ASU and provide bioinformatics supports to both on- or off-campus researchers in a broad aspects of research projects, including genomics, proteomics, machine-learning, and statistics.
As a member of bioinformatics team at CPD, you will:
- Participate in grant-funded omics-focused projects
- Perform hands-on bioinformatics and biostatistics analysis
- Participate in data presentation and writing reports, manuscripts, and grant proposals
- Support and collaborate with both internal and external researchers
- MSc in bioinformatics, computational biology, bioscience or related fields with experience in biomedical research projects
- Hands-on research experience in analyzing high-content biological data (e.g. next-generation sequencing or high-throughput screening data)
- Proficiency in scientific programming/scripting (e.g., Python or Java), bioinformatics/biostatistics packages (e.g., R/Bioconductor and Biopython), and SQL databases
- An efficient team player with strong communication, presentation, and interpersonal skills
- 2 or more years of post-degree academic/industrial research experience
- Research experience in biomarker discovery, statistical modeling, and/or machine-learning
- Knowledge on biological databases (e.g. gene annotations, pathways, and interactomes) and genomic/proteomic data resources (e.g. NCBI, Ensembl, COSMIC, and UniProt)
- Detail oriented, flexible, self-motivated, excellent troubleshooting skills
- Experience in writing scientific documents (e.g. reports, manuscripts and grant proposals)
- Wet lab experience in molecular and cellular biology
- Experience in development of scientific software and databases
- Proven multi-tasking ability of working with interdisciplinary scientific teams
Applicants are responsible for including a cover letter, CV, and the names of three professional references in their application through the Interfolio website. Emailed applications will not be accepted. Apply here: https://apply.interfolio.com/79620.
Initial close date 11/6/2020. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled.