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Scribe Therapeutics
Alameda, CA, United States
Scribe Therapeutics is a molecular engineering company focused on creating best-in-class in vivo therapies that permanently treat the underlying cause of disease. Founded by CRISPR inventors and leading molecular engineers Benjamin Oakes, Brett Staahl, David Savage, and Jennifer Doudna, Scribe is overcoming the limitations of current genome editing
Job Source: Scribe TherapeuticsAbbott
Alameda, CA, United States
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Job Source: AbbottAbbott Laboratories
Alameda, CA, United States
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Job Source: Abbott LaboratoriesProsper.com
San Francisco, CA, United States
The Role As the Senior Data Scientist, you will lead initiatives targeted to drive efficiency, scalability, and operational performance using AI/ML. In this role, you will source, manage, and analyze large volumes of structured and unstructured data, synthesize results, and communicate/collaborate on the results with key stakeholders to drive st
Job Source: Prosper.comAbbott
Alameda, CA, United States
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
Job Source: AbbottAdobe
San Francisco, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeAdobe
San Francisco, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeDatabricks
San Francisco, CA, United States
CSQ224R174 Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into product
Job Source: DatabricksSouth San Francisco, CA, United States
FULLY REMOTE
1 YEAR WITH EXTENSION UP TO 3 YRS
Please reference top 3 skills and day to day responsibilities in the job description in the request.
Interview Process: 1st Phone screen, 2nd round take home exam and prepare for remote presentation of past work for 45min.
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 Client 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, Client 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.
Email Alert for Sr Data Scientist jobs in South San Francisco, CA, United States
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