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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Experience with state-of-the-art AI & ML methods applied to biological sequence data (DNA, protein)Hands-on experience with public omics, protein and immune repertoire datasets such as PDB, OAS, SAbDab. Strong experience with scientific programming languages (Python, R) and data science libraries.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Candidates should have a Bachelor’s degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field, with experience in high-throughput NGS data analysis and bioinformatics tools.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Experience with cloud-based data storage, analytics & data science platforms. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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OR Master's degree in clinical laboratory science, medical technology or chemical, physical or biological science and 1 year training and experience in high-complexity testing; OR Doctoral degree in clinical laboratory science or chemical, physical or biological science with 1 year training and experience in high-complexity testing.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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This is an exciting opportunity to build a new team responsible for establishing structural biology and protein science capabilities, biochemical and biophysics assays to support biology validation, hit finding campaigns and drug discovery.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD.
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Performing annual account reviews, periodic reviews Performing GMP data quality assessments and managing deviations Managing document review and approval workflows in a global document management system Working with data archiving and electronic document management systems (in house systems are OpenLab and Veeva Quality Docs) Manage IQOQ and UAT – write and execute test scripts, author test summary reports.
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Our world class scientific founders include Professor David Liu (HHMI, Broad and Harvard) and Professor Keith Joung (Arena BioWorks, formerly MGH), and we are funded with a significant capital investment by leading life science venture capital firms including Newpath Partners, Atlas Venture, F-Prime Capital, and 5AM Ventures.
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data science jobs Company: Abbvie in Cambridge, ND, France
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