Sr Data Scientist

Client: Biotech Position: Senior Data Scientist, Computational Biology Location: Remote (PST hours) Duration: 6 month contract with extensions (up to 3 years total) The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at Client 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 • 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). • Ability to work in a highly matrixed environment and drive scientific and technical innovation collaboratively with other group members and with Client research community. • Strong written and oral communication skills, self-motivation, independence, and leadership.