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.
And above link for more jobs
