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Topic: Metabolomics Data Analyst - Madison, WI (Read 5553 times) previous topic - next topic

Metabolomics Data Analyst - Madison, WI

Job Purpose
The data analyst will be engaged in experimental design and analysis of large scale LC-MS based metabolomics experiments for the identification of biomarkers, creation of predictive models, and biological networks based on interpretation of the results.  The position will involve working on both client-based projects as well as internal Stemina platform and discovery efforts.  The candidate should have a track record demonstrating the ability to be inquisitive, self-motivated and self-directing, to develop realistic project plans with timelines, and to solve problems using the application of scientific theory.

Essential Job Duties and Responsibilities
•   Design and implement the analysis for targeted and discovery based metabolomic experiments.
•   Assist in design and execution of scientific metabolomics experiments in collaboration with bioinformatics, analytical chemistry and cell biology staff.
•   Evaluate metabolomics and other ‘omics’ data within a biological context to explain the significance of the results.
•   Perform comparative analyses of mass spectrometer derived metabolomic data.
•   Develop predictive models based on the results of metabolomics experiments.
•   Work closely with biologists and analytical chemists in updating and utilizing multiple sources of biological data.
•   Follow established SOPs to analyze targeted and discovery based metabolomic experiments
•   Write grant applications in collaboration with other scientific staff.
•   Keep and maintain accurate and detailed records of all research and experiments performed.
•   Maintain current technical procedures and quality assurance.
•   Attend staff and lab meetings.

Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.  The requirements listed below are representative of the knowledge, skill, and/or ability required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education and Experience:
•   Ph.D in Statistics, Biostatistics, Mathematics, Computational Biology or, a molecular biotechnology or related discipline with a research focus in the area of statistical or mathematical analysis of ‘omics’ data.
•   A minimum of 3 years post graduate experience designing, analyzing, and interperting large "omics" based data sets preferably in the areas of metabolomics, proteomics, or gene expression.
•   Demonstrated experience in the generation of predictive models from experimental "omics"  data utilizing univariate, multivariate, and machine learning methods.
•   Experience with network or pathway based interpretation of "omics" data.
•   A background in biology or biochemistry, specifically understanding of the metabolic pathways is desired, but not required.
•   Broad understanding of bioinformatics tools used for analysis of metabolic, gene expression, and protein expression data.
•   At least 3 years’ experience using statistics scripting languages such as R to perform data analysis.
Knowledge, Skills and Abilities Required:
•   Effective interpersonal, verbal and written communication skills, including public-speaking and presentation skills.
•   Ability to maintain high level of confidentiality.
•   Ability to effectively communicate with all levels of the organization.
•   Demonstrated ability to work well independently as well as a part of a diverse team.
•   Ability to maintain experimental consistency.
•   Demonstrated ability to work well under pressure and manage multiple tasks with constantly changing priorities.
•   Demonstrated ability to troubleshoot problems and recommend resolutions.
•   Knowledge of implementation and design of state-of-the-art algorithms for metabolomic, genomic and metagenomic analysis.
•   Advanced analytical, organizational, and record-keeping skills.
•   Proficient computer skills: Proficiency with the Windows and Linux operating systems and MS Office.