Full employer posting
The Senior Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable.
Responsibilities Lead analysis of single-cell RNA-seq and multiome datasets (joint RNA/ATAC profiling) Perform integrative analysis across modalities, including bulk RNA-seq, ATAC-seq, and DNA methylation datasets Develop processing pipelines for novel single cell multiomic technologies Apply statistical modeling and machine learning methods to identify cellular states, regulatory programs, and epigenetic signatures Design and implement integrative multi-omic analyses across cohorts and experimental systems Present findings internally and contribute to publications and grant applications Stay current with emerging single-cell and AI-driven genomic analysis methodologies Performs other related duties.
Qualifications Ph. D in sciences or related field (Computational Biology, Bioinformatics, Genomics, Statistics, Computer Science, or related field) Minimum five years of experience with scientific investigation. Must have demonstrated outstanding achievement in a field of research Must have contributed to a number of peer-reviewed publications, inventions or the like, at least some of which have had a major impact on advancing the field or discipline.
Prior experience successfully securing external grant funding is highly desirable. Highly Preferred
Strong experience analyzing bulk and single-cell RNA-seq and epigenomic data Proficiency in R, including common single-cell analysis frameworks Experience working with large-scale genomic datasets and high-performance computing environments Strong statistical background and data visualization skills Experience analyzing DNA methylation data (e.g., array-based or sequencing-based approaches) Experience analyzing long-read RNA sequencing datasets Demonstrated use of machine learning/AI methods for genomic data integration or prediction Familiarity with cloud-based workflows and reproducible pipeline development Track record of publications in peer-reviewed journals
Full time · Day shift
About the role
The Senior Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills.