Wei Ding Email and Phone Number
Wei Ding work email
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Wei Ding personal email
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Wei Ding is a Head of Bioinformatics and Data Science, Alexion AstraZeneca at AstraZeneca. They possess expertise in bioinformatics, genomics, biomarkers, proteomics, biomarker discovery and 27 more skills. Colleagues describe them as "In my collaborations with Wei, I have known him to be an innovative and self-motivated scientist. From his first week at Schering-Plough’s Bioinformatics team where he took on a critical task in customizing a C code base containing over 1 million lines of code, to his experimenting with predictive algorithms, everything he brought to the table contributed to our research effort and ultimately candidate recommendations. Wei brings to the table the greatest skill set of all, his ability to think!", "I worked with Wei on several projects over a five year period while in the pharmaceutical industry. Wei is very familiar with the drug development process, with good awareness of both scientific and market-based considerations. Wei has a deep understanding of modern algorithms/approaches to transcriptomic analysis, proteomics, metabolomics, analysis of genetic polymorphisms, sequence annotation, and analysis of high-throughput screening data. He also has broad general understanding of statistics and machine-learning algorithms. Wei is a very capable software developer, who is proficient at integrating the use of S-Plus/R, Perl, JavaScript, C/C++, HTML, XML, and a variety of SQL flavors for data integration, analysis, as well as user interface development. Wei routinely works in both Windows and Unix/Linux environments, and with stand-alone, client/server, as well as distributed processing systems. He works very hard, is an innovative thinker, has exacting standards, but also has an easy-going, positive personality that makes him a good leader, team-member, and generally a pleasure to work with. Wei excels at organizing large complex projects, interacting with stakeholders, and managing his work-group's time-line. I unhesitatingly recommend Wei for management, consulting, or research positions in the pharmaceutical, diagnostic, or broader biotechnology fields.", and "I worked together with Wei in Bioinformatics for nearly 15 years at Schering-Plough and Merck. I found Wei to be a personable and talented scientist. He is a hard worker with deep technical expertise. He is a patient instructor and is sought out for advice by his peers. Wei joined a nascent bioinformatics group in the early days of its adoption in pharmaceutical research. He expanded on his strong background in crystallography and structural biology to become proficient in statistical analysis of a wide variety of OMICs Human and model organism data. A team player that excels in multidisciplinary teams, Wei developed and refined new techniques for data analysis and biomarker discovery, applying them to a broad range of fields including antiviral, antifungal, respiratory, oncology, and cardiovascular therapy. He is adept in the application of transcript profiling and genome sequence data for optimization of monoclonal antibody production in Chinese Hamster Ovary cells. Given Wei’s depth and breadth of experience he will be an asset to a scientific research based organization and I recommend him highly without reservation."
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Senior Director, Head Of Bioinformatics And Data ScienceAstrazeneca Nov 2022 - PresentCambridge, Cambridgeshire, Gb -
Vice President, Data ScienceDotlab Mar 2022 - Jun 2022New York, UsData science, Clinical biomarker research & development, Statistical modeling/machine learning -
Head Of Bioinformatics/R&DAdmera Health May 2016 - Mar 2022South Plainfield, Nj, UsPrecision Medicine, BioPharma Services, Bioinformatics, R&D, Clinical Diagnostics, Digital health -
Chief Scientific OfficerAdmera Health China May 2016 - May 2019Precision Medicine, BioPharma Services, Bioinformatics, Clinical Operation, R&D, Digital health
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Clinical Genomics LeadIcahn School Of Medicine At Mount Sinai Feb 2014 - Apr 2016New York, Ny, UsPrecision medicine, Personalized Cancer Therapy, Clinical Cancer Genomics, Bioinformatics/computational biology/data science, Statistical modeling/machine learning -
Principal Scientist, Translational And Exploratory ScienceMerck Research Laboratories Nov 2009 - Nov 2013Rahway, New Jersey, UsTranslational Research, drug development and preclinical/clinical research; Biomarker discovery, development and validation; Genomics, proteomics, metabonomics, chemo-informatics data analysis; Biological and medical data mining/integration, biological function/pathway analysis, and systems biology; Bioinformatics tool and statistical algorithms/machine learning development; Protein structure modeling. -
Principal Scientist, BioinformaticsSchering-Plough Research Institute Oct 1999 - Oct 2009Kenilworth, New Jersey, UsTranslational Research, drug development and preclinical/clinical research; Biomarker discovery, development and validation; Development of statistical methods and applications for genetics, genomcs, proteomics, metabolomics etc. data analysis and system biologys; Biological/medical data mining/integration, function/pathway analysis; Protein structure modeling. -
Research FellowNational Center For Biotechnology Information (Ncbi) Aug 1998 - Sep 1999Bethesda, Md, UsHomologous Core Structure research to characterize protein structure-function relationships, Molecular Modeling Database (MMDB) development, Entrez development
Wei Ding Skills
Wei Ding Education Details
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Stony Brook UniversityBiophysics -
University Of Science And Technology Of ChinaModern Physics
Frequently Asked Questions about Wei Ding
What company does Wei Ding work for?
Wei Ding works for Astrazeneca
What is Wei Ding's role at the current company?
Wei Ding's current role is Head of Bioinformatics and Data Science, Alexion AstraZeneca.
What is Wei Ding's email address?
Wei Ding's email address is di****@****hoo.com
What schools did Wei Ding attend?
Wei Ding attended Stony Brook University, University Of Science And Technology Of China.
What skills is Wei Ding known for?
Wei Ding has skills like Bioinformatics, Genomics, Biomarkers, Proteomics, Biomarker Discovery, Systems Biology, Drug Discovery, Biotechnology, High Throughput Screening, Dna Sequencing, Computational Biology, Data Mining.
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