Job Description Summary The Bolton Lab is seeking a Bioinformaticist to advance research in cancer genomics. Our group focuses on acquired pre-leukemic mutations in the blood, clonal hematopoiesis. Our group has led some of the largest and most comprehensive studies of how oncologic therapy shapes the evolution of clonal hematopoiesis and promotes its transformation to leukemia (Bolton, Nature Genetics 2020; Bolton, JCO 2020).
This position will include data management and data analysis of genomic and epidemiologic data using statistical packages. Work will consist of analysis of targeted sequencing data, SNP array and RNA-Seq data for comprehensive characterization of genomic events and correlation with clinical outcomes.
Assistance in the design of experiments, clinical trial and epidemiological studies will be required. A background in the analysis of genetic data is preferred.
Primary Responsibilities -Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets; independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data. -Performs complex systems analysis of data and writes interpretative reports. -Evaluates commercial and academic bioinformatics software. -Trains other researchers on the everyday use of analysis software and research databases. -Assists with grant preparation and reporting of methods, data, and results. -Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.
Preferred Qualifications -Master’s degree or Ph.D. in computer science or related field highly preferred. -Analytical, reasoning, and problem-solving skills. -Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics. -Ability to analyze and interpret large complex data sets, such as genome sequences, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner. -Expertise in standard bioinformatics tools. -Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment.
Minimum Requirements Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; or master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; or combined education and experience of nine years.
If interested, please apply by submitting (1) your CV, (2) a cover letter outlining your motivation, goals, strengths, and weaknesses to Dr. Kelly Bolton (email@example.com).