Principal Research Scientist - Bioinformatics

Our client, a pioneering biotechnology research organization, is seeking a highly accomplished Principal Research Scientist specializing in Bioinformatics to join their innovative team in San Francisco, California, US . This critical role involves leading the development and application of cutting-edge bioinformatics tools and methodologies to analyze complex biological datasets, including genomics, transcriptomics, and proteomics. You will be at the forefront of translating high-throughput sequencing data into actionable biological insights that drive therapeutic discovery and development. Key responsibilities include designing and implementing computational pipelines for next-generation sequencing (NGS) data analysis, developing novel algorithms, and managing large-scale genomic databases. You will collaborate closely with molecular biologists, geneticists, and clinicians to interpret experimental results and contribute to hypothesis generation and validation. The role requires a deep understanding of statistical methods, machine learning, and data mining techniques as applied to biological problems. You will be expected to mentor junior scientists, manage research projects, and contribute to scientific publications and grant proposals. Experience with various programming languages such as Python, R, and Perl, along with expertise in bioinformatics software and databases (e.g., NCBI, Ensembl, UCSC Genome Browser) is essential. A strong publication record in peer-reviewed journals demonstrating significant contributions to the field of bioinformatics is a must. The ideal candidate possesses a PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field, with a minimum of 7 years of relevant post-doctoral research experience. Proven experience in leading research projects, managing teams, and successfully navigating complex biological data challenges is required. Excellent communication and presentation skills are necessary for collaborating with diverse scientific teams and presenting findings at conferences. This is an exceptional opportunity to make a significant impact on the future of personalized medicine and drug discovery within a highly collaborative and intellectually stimulating research environment.