Our Client, a Biotech company, is looking for a Computational Scientist: Human Genetics for their South San Francisco, CA/Hybrid location. Responsibilities: + Collaborate with scientists in Human Genetics department to analyze large datasets of genetic, genomic, and clinical data from internal studies (including our clinical trials and high throughput screens), collaborations with academic and industry partners, and public external data sets + Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology to propel our translational goals + Coordinate the intake and preparation of new datasets as they become available for analysis + Document process, findings, and code + Present findings to the department and cross-functional collaborators and contribute to publications Requirements: + Extensive experience in large-scale genetic/genomic data analysis including one or more of the following areas of expertise: + Understanding of principles of genetic epidemiology + Association analysis with array- and sequence-based genetic data + Analysis of sequence-based molecular assay data (eg RNA-Seq) including differential expression methods, single-cell sequencing data (eg scRNA-Seq, scATAC-Seq) and/or proteomic data + Integration of genetic and molecular data for multimodal analyses + PhD (or master’s with significant experience) in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field + Fluent in R, python, and shell scripting. Some familiarity with C++ will be a plus + Experience working with git and high-performance computing (e.g. the slurm scheduling manager) + Curiosity and desire to learn more about human genetics, bioinformatics, and biology + Ability to produce high-quality analysis results with minimal supervision. This includes meeting key deadlines and making sensible independent decisions + Good communication skills and experience working as part of a team + Strong programming skills with good command of R or python, and experience with high-performance computing + Independent worker and fast learner - on a resume, we might get some clues from someone having a PhD and postdoc, high quality publication record, and/or a top-ranked school + An ideal candidate has experience with one of the following types of analyses. + GWAS analysis + Heritability analysis + eQTL analysis Why Should You Apply? + Health Benefits + Referral Program + Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.