Computational Scientist, Metabolomics

We are seeking a talented Computational Scientist or Senior Computational Scientist to join our multi-omics data integration team. In this role, you will lead the development and application of advanced analytics methods to unravel the molecular mechanisms underlying cellular rejuvenation and reprogramming. The focus will be on the development and application of computational methods for analysis of targeted and untargeted metabolomics and lipidomics data aimed at identification of metabolomic signatures and biomarkers. You will be involved in all aspects of a research project and develop robust computational tools and pipelines for data processing and analysis, and will work closely with a cross-disciplinary team including domain knowledge experts, data generation experts and other computational scientists. Responsibilities include:

• Collaborate closely with domain knowledge experts to plan and design studies to elucidate molecular phenotypes of cellular health, rejuvenation and reprogramming 
• Build pipelines for quality control, processing and analysis of raw targeted and untargeted metabolomics and lipidomics data 
• Develop analytical workflows for statistical and functional analysis of metabolomics data 
• Integrate metabolomics data with other omic and phenotypic data
• Embed analyses and visualizations in automated reports
• Build interactive dashboards for data visualization and exploration
• Partner with other computational scientists to establish automated, robust and efficient analytical pipelines for reproducible research
• Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

The right candidate will possess the following skills and abilities. The level of the position will depend on the qualifications of the selected candidate.

• PhD in Computational Mass Spectrometry, Computational Metabolomics, Computational Biology, or related discipline
• Deep understanding of the entire metabolomics pipeline
• Extensive experience with metabolomics workflows and data analysis strategies, including using in-silico spectral libraries and retention time modeling
• Familiarity with machine learning methods that aid the structure elucidation process of small molecules using orthogonal parameters such as retention time, m/z and MSn spectra
• Proficiency in Python and/or R with hands-on skills using data science packages
• Statistical analysis background 
• Established ability to translate biologists/project team’s scientific questions into analytical strategies and methods
• Excellent communication skills with the ability to present complex computational methods to non-experts
• Strong collaboration skills with the ability to work equally well independently and as part of a team in an international and interdisciplinary environment
• Outstanding organizational skills 
• Rigorous scientific thinking ability
• Strong work ethic 

Salary range: Computational Scientist I, 138,550 - 187,450; Computational Scientist II, 163,000 - 253,500; Senior Computational Scientist, 195,000 - 327,600

Job ID 493

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