Metabolomics Data Analyst
Stemina Biomarker Discovery - Madison, WI

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Stemina Biomarker Discovery has a job opportunity available for candidates skilled in the art and science of statistical analysis and computational biology for the discovery of biomarkers and the interpretation of metabolomics results. Stemina is a growing company that is developing and offering products and services using metabolomics in the areas of in vitro predictive toxicology and human disease diagnosis. We currently offer a predictive toxicology based screen using human embryonic stem cells and metabolomics to identify chemical agents that may lead to birth defects and are also developing a screen for cardiotoxicants using stem cell derived cardiac muscle cells. Our efforts to develop blood based diagnostics are focused in cancer and autism. I strongly encourage you to visit our web site (http://www.stemina.com) to learn more about our research programs and commercial offerings.

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.

ALAN M. SMITH, PH.D
ASSOCIATE DIRECTOR–COMPUTATIONAL BIOLOGY
http://www.stemina.com


Indeed - 17 months ago - save job - block
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