Bioinformatics Scientist AssureRx
Assurex Health is a personalized medicine company dedicated to helping clinicians determine the right
medication for individual patients with medical conditions. Assurex Health?s proprietary technology is
based on pharmacogenomics ? the study of the genetic factors that influence an individual?s response to
drug treatments ? as well as evidence-based medicine and clinical pharmacology.
The company was founded in 2006 to commercialize industry-leading personalized medicine technology.
Cincinnati Children?s Hospital Medical Center and Mayo Clinic are equity holders and technology
The Bioinformatics Scientist will construct a relational database of gene associations and clinical trial
results from Assurex Health and collaborators, and analyze associations between these variables. Genes
and their combinations will be composed of applied and novel variants from across the human genome.
These include sequence variants identified by CNVs/SNPs/tandem repeats/indels and methylation
signatures. The Bioinformatic Scientist will determine optimal associations of these variants with
databases of treatment outcomes from experimental results from diverse collaborators. You will use
these results to construct and prioritize through statistical analysis novel combinatorial
pharmacogenomics, by conducting retrospective analyses of their predictive validity for clinical
outcomes, and gauge performance for future products. The Bioinformatics Scientist will also bring,
apply, and educate others in the use of bioinformatic tools to acquire and analyze information relevant
to CNS medication pharmacology, genetics, and clinical science, and will be responsible for data
management - collecting, formatting, and reconfiguring data.
? Participate in the creation of novel gene variant combinations that predict medication disposition
and outcome, based on existing and new databases from collaborators.
? Optimize method for creating and testing these predictive processes.
? Aid in statistical analysis of clinical studies.
? Develop combinatorial PGx genome-wide association study (GWAS) methods
? Interest in working in a dynamic biotechnology environment
? Masters degree in bioinformatics, systems or computational biology
? Education in related areas of biology, pharmacology, or genetics.
? Experience applying bioinformatics to genomics, preferably to pharmacogenomics
? Deep experience in statistics and experimental design
? Passion for improving health care
? Exceptional written and verbal skills
? Ability to interact effectively with all levels of employees in an energetic and time-sensitive work
? Team-oriented interpersonal communication skills
? Excellent time management, scheduling, and organizational skills
? Must be analytical, flexible, innovative, and self-motivated
? Must have the flexibility to work extra hours to meet departmental goals
||Mason, OH |