Brii Bio is seeking a highly motivated and talented bioinformatics expert for our growing drug discovery team. The successful candidate for this position will be a bioinformatics specialist in his/her field and will play a critical role in genetic characterization and design of oligonucleotides-based therapeutics. The successful candidate will conduct bioinformatics analysis or studies to support all phases of exploratory and discovery projects and be required to work creatively and independently on a variety of computational methodologies and AI-based machine learning models to help design, screen, characterize and evaluate compounds. This role will be part of an experienced discovery team and offers the opportunity to develop new skills and obtain experience and expertise as part of a multidisciplinary pharmaceutical research team. The individual will have strong background in scientific research and organize, analyze and interpret results, come forward with recommendations and present the findings to senior personnel or in team meetings. This role will require working closely with a global discovery team to incorporate new sciences and technologies to facilitate the progression of novel preclinical candidates that allow for maximal therapeutic impact and differentiation for patients. Primary responsibilities will be oligonucleotides-based bioinformatics activities to design and execute bioinformatics studies, generate data and report results to a broad program team. Experience in structuring, processing, analyzing, and interpreting the massive amounts of data generated by NGS/WGS/GWAS/TWAS/dbSNP/GenBank/BioBank, and so on, is required. Experience with target biology and MoA exploration, sequence designation and alignment, human genetic variants identification, off-target prediction and evaluation, as well as other bioinformatics techniques and infrastructure is an advantage. The candidate must have good organizational, writing and communication abilities to communicate results and ideas with other team members including non-scientists.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees