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Senior Scientist - Bioinformatics
at Mattson Resources - Sean Goulding
La Jolla, CA

Senior Scientist - Bioinformatics
at Mattson Resources - Sean Goulding
La Jolla, CA

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Description

Job Description

 

The Senior Scientist, Biomarker Signatures will be a member of the Neuroscience Biomarkers team, and will be responsible for analyzing and interpreting biomarker data related to the Mood Disorder and Neurodegenerative Disease areas, with an emphasis on genetic and epigenetic biomarkers. Responsibilities also include assessing and validating new biomarker technologies.

The position will focus on identifying and validating biomarker signatures aimed at diagnosis & staging, stratification, therapy response, and relapse prediction, using genetics and epigenetics data, fluid biomarkers, “omics” - phenotype associations, and neuro-functional measurements.

 

The Senior Scientist will perform multivariate analysis of -omics data in connection with Neuroscience clinical trials with the following goals: forge a better understanding of disease biology, provide tools for patient screening, risk assessment, diagnosis and staging, develop biomarker-based patient subgroups. The Senior Scientist will generate hypotheses and validate them using independent data sets. Responsibilities also include assessing and validating new biomarker technologies and working with the clinical teams to ensure the appropriate implementation of biomarker measurements.

 

The successful candidate will work with internal and external collaborators, partners, CROs, and Key Opinion Leaders, to develop and validate biomarker signatures. S/he will interface internally with Project Scientists and Laboratory Personnel and interact outside of the immediate group with Scientists in Neuroscience Discovery, Quantitative Sciences, Experimental Medicine and Clinical Development.

 

•           A Ph.D. degree in bioinformatics/biomedicalengineering/genetics and genomics or related fields is required.

•           At least 3 years of relevant experience is required.

•           Hands-on experience with data processing and analysis, statistical inference techniques, multivariate analysis and/or machine learning is required.

•           Experience with establishing and validating links between phenotypes and biomarker measurements, such as proteomics, genomics and imaging data is preferred.

•           A strong publication record, including several first author publications in peer-reviewed journals, are required.

•           Good communication, collaboration and influencing skills are required

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