Sr Data Scientist

Job Description
The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at **** is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multimodal biomarker data from clinical trials.

Responsibilities
Maintain and develop inhouse endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance extend analytical capabilities of biomarker platform
Define and implement Bioinformatics strategy and protocoldriven configuration layers of biomarker platform for ***** studies
Perform panstudy analysis to find biomarkers that are predictive of safety and efficacy endpoints.
Serve as a subject matter expert and implementation lead for application of opensource R and python ML modeling libraries to clinical trial data and real world data (from external partners publicly available data or consortia data).
Work crossfunctionally with stakeholders in Research and Development.
Communicate findings and insights and present them to the team.

Basic Qualifications
Doctorate degree and 12 years of scientific experience
OR
Masters degree and 35 years of scientific experience
OR
Bachelors degree and 57 years of scientific experience

Preferred Qualifications
PhD or MS in Bioinformatics Mathematics Statistics Computer Science or a related quantitative field.
Significant experience in bioinformatics applied mathematics and/or statistics to analyze multimodal multidimensional and largescale biological datasets including whole exome sequencing RNAseq and highthroughput proteomics data.
Familiarity of clinical bioinformatics domain and associated technologies real world biomarker data
Working experience of data QC data preprocessing feature selection model building and deployment.
Fluency in both Python and R programming languages and associated DevOps tools (version control ML Ops).
Ability to work in a highly matrixed environment and drive scientific and technical innovation collaboratively with other group members and with ***** research community.
Strong written and oral communication skills selfmotivation independence and leadership.

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