AbbVie Senior Scientist, Computational Biology in Cambridge, Massachusetts
Senior Scientist, Computational Biology
USA, Massachusetts, Cambridge
2 additional locations
Research & Development
The Foundational Neuroscience Center (FNC) at AbbVie Cambridge Research Center -Massachusetts is seeking to expand its bioinformatics expertise to develop state-of-the-art genomics technologies and computational approaches to enable neuroscience research. The FNC is a new research group within AbbVie Neuroscience and its role is to provide deep biological expertise and cutting-edge science to elucidate disease mechanisms and discover potential new drug targets.
We are looking for an exceptional candidate for a computational biologist position. The successful candidate will be responsible for performing computational and statistical analysis to mine large-scale genetics, transcriptomics, functional genomics, and human biology data for target identification, target validation, model system characterization, and biomarker discovery for neurodegenerative diseases.
The ideal candidate should have demonstrated expertise in analyzing large-scale and multidimensional omics datasets, and the ability to work closely with biologists and project teams to drive experimental design and data interpretation. Prior research experience in neurodegenerative diseases and neuroscience related research areas is a plus.
Key Responsibilities Include:
Integrate internal and external large-scale genetics and genomics datasets to inform target identification and validation
Develop and customize data processing, QC, and analysis pipelines for in-house NGS and genomics studies
Work closely with cross-disciplinary project teams to design single-cell transcriptomics and functional genomics experiments and analyze data
Develop and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights
Contribute to consortium-based genomics and genetics projects
BS, MS, or PhD in Bioinformatics, Computational Biology, Biological Sciences, or relevant natural sciences required,
10-12+ (BS), 8-10+ (MS), or 0-3+ (PhD) years relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context.
Technical Skill Qualifications:
Proficient in programming, scripting, and statistical analysis packages (e.g. R, Matlab) required
Experience in designing and implementing omics studies
Experience in analyzing large-scale NGS and other omics datasets
Strong background in biology. Knowledge of neuroscience biology and neurodegenerative diseases is highly preferred
Experience with single cell transcriptomics and/or CRISPR screens is preferred
Familiarity with neurodisease related cohort datasets such as AMP-AD, ADNI, PPMI and statistical methods for longitudinal models is preferred
Demonstrated ability to effectively communicate with experimental biologists and project teams
Equal Opportunity Employer Minorities/Women/Veterans/Disabled