Job Details

Description:

FULLY REMOTE - PST HRs

6 months WITH EXTENSION UP TO 3 YRS

Responsibilities

• Maintain and develop in-house 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
• Develop and maintain in-house survival prediction pipeline that use multi-omics data to predict survival endpoints
• Perform multi-omics integration analysis
• Perform pan-study analysis to find biomarkers that are predictive of safety and efficacy endpoints.
• Serve as a subject matter expert and implementation lead for application of open-source R and python ML modeling libraries to clinical trial data and real world data (from external partners, publicly available data or consortia data).
• Work cross-functionally with stakeholders in Research and Development.
• Communicate findings and insights and present them to the team.

Basic Qualifications
Doctorate degree and 1-2 years of scientific experience OR Master's degree and 3-5 years of scientific experience OR Bachelor's degree and 5-7 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 multi-modal, multi-dimensional and large-scale biological datasets including whole genome/exome sequencing, RNA-seq, and high-throughput 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).

Top 3 Must Have Skill Sets:

• Machine learning
• Experience working with clinical data and multi-omics data
• R programming language

Pay Rate between $81 - $92/hr on W2 based on experience.

"This posting is for Contingent Worker, not an FTE"
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