Sr Data Scientist 

Job Title: Sr Data Scientist

Job Duration: 12 Month contract with potential extension.

Job Location: Remote

Note: US Citizen and Green card required for this position.

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 multi-modal biomarker data from clinical trials.

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
• Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for ***** studies
• 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 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).
• 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, self-motivation, independence, and leadership.
  
  

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