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Get AI-powered advice on this job and more exclusive features. This range is provided by Aditi Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $70.50/hr - $80.59/hr Payrate: $70.50 - $80.59/hr. Summary: The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department is seeking a highly motivated Sr data scientist to join our team and contribute to developing 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. 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 the research community. Strong written and oral communication skills, self-motivation, independence, and leadership. Payrate: $70.50 - $80.59/hr. Summary: The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department is seeking a highly motivated Sr data scientist to join our team and contribute to developing 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. 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 the research community. Strong written and oral communication skills, self-motivation, independence, and leadership. Top 3 Must Have Skill: Machine learning Experience working with clinical data and multi-omics data R programming language 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 Pay Transparency: The typical base pay for this role across the U.S. is: $70.50 - $80.59/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ( Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. 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