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Form of workBioinformatician Data Analyst, Pulmonary
- (3273384)
General Summary:
The Pulmonary and Critical Care Medicine is a large group of physician-scientists, epidemiologists, basic scientists, and geneticists with major research initiatives in lung diseases and chronic disease epidemiology. In this position, a highly motivated Data Analyst/bioinformatician will be engaged in multiple projects related to disease subtyping and the genomics of COPD, with specific attention to analysis and analytical problems arising with next-generation sequencing assays. The successful candidate will work in the following specific areas: 1) application of statistical, machine learning, and artificial intelligence methods for COPD subtyping, 2) analysis and methods development for RNAseq analysis, 3) regulatory network analyses.
Principal Responsibilities:
- To perform complete data validation and error detection; ensuring data security, integrity measures are met. Discuss with researcher analysis direction prior to project and after results are obtained.
- Establish workflow for archiving, preprocessing, and analyzing outputs of diverse next-generation sequencing experiments, including WGS, RNA-seq, and ATAC-seq, with particular attention to emerging statistical methods of quality assessment and improvement.
- Contribute to methodological and substantive publications on data integration and mechanistic studies in general bioinformatics and protein-protein interaction.
- Perform continuous research on bioinformatic approaches to data integration to ensure that best practices are known and emulated where appropriate; develop understanding and use of emerging "deep learning" strategies.
- Interact closely with systems administrators to ensure that hardware and software environments are appropriate.
Qualifications:
- B.S. Biology and experience in epidemiology, bioinformatics or biostatistics. Acquaintance with concepts of molecular biology, and immunology, or next-generation sequencing technology essential.
- At least one year prior experience
Skills/Competencies Required:
- Ability to apply statistical and machine learning techniques to solve ‘big data’ problems.
- Experience in programming with R and package creation. MATLAB, Python and/or Java that focus on computational biological applications.
- Experience with cloud and cluster computing concepts essential. Must have acquaintance with next-generation sequencing pipeline structures, alignment processes, quality assessment and improvement procedures, coverage and feature count processing, inference on differential abundance.
- Ability to work in a highly collaborative and intellectually challenging environment
- Must work independently.
BWH is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
