Hire Freelance Genomic Data Analysts
Yilong Li
Yilong is a seasoned data scientist specialized in oncology and cancer genomics research. He completed his bioinformatics PhD at the University of Cambridge and has several publications in top scientific journals such as Nature, Science and Cell. After that, he worked in various R&D roles in the industry, focusing on genomics algorithm development, bioinformatics data analysis, and machine learning. Yilong follows best programming practices in his coding and data science projects.
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Miguel Vazquez
Miguel has a Ph.D. in computer science and bioinformatics. He learned about data mining 20 years ago and discovered a great field of application in Bioinformatics. Since then, Miguel has worked in many areas focusing on cancer genomics (text-mining, systems biology, web development, and workflows). He has written hundreds of thousands of lines of open-source code and developed the Rbbt framework, one of the most effective tools for data analysis, downloaded over a million times.
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Francesco Strino
Francesco is a software engineer and scientist specializing in algorithms. He has a Ph.D. in medical biochemistry and a Master's degree in bioinformatics. He has written algorithms to analyze biological, medical, and real forensic data and developed a part of the CLC Genomics Workbench, one of the most popular software for bioinformatics analysis used by tens of thousands of users. He is a fan of BDD and excels in bioinformatics, statistics, high-performance computing, and financial technology.
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Hershel Safer
Hershel has extensive experience developing quantitative models in various industries, including finance, biopharma, and communications. His focus is the extraction of data-based insights to inform decision making. For the past decade, Hershel has worked primarily with machine learning; he also has expertise in optimization (linear, nonlinear, combinatorial, and graph). Hershel has a Ph.D. from MIT in operations research and an undergraduate degree from Yale in applied mathematics and economics.
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Rajesh Kumar Gazara
Rajesh is an experienced professional with substantial expertise in multiple RNA and DNA sequencing analysis software and pipelines. He has completed his PhD in bioscience and biotechnology, focusing on comparative genomics and transcriptomics, and has several related publications in reputed scientific journals. He worked in several R&D roles in the industry, focusing on bioinformatics data analysis, regression analysis, predictive modeling, and machine learning in metagenomics.
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Rajat Singhania
Rajat is an experienced bioinformatician specializing in next generation sequencing (NGS) and data analysis. Proficient in NGS data processing from demultiplexing to mutation calling, he excels in pipeline tool selection and optimization. Rajat is an expert in using machine-learning methodologies for cancer-type classification. His work with LifeLabs Genetics benefited hundreds of patients, and he co-first authored a Nature paper that launched Adela, a startup focusing on early cancer detection.
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Juan Manuel Berros
Juan is a bioinformatics PhD with years of combined experience in data analysis, data science, and back-end software engineering. He excels both in the statistical analysis of any dataset and in the implementation of data workflows with solid software engineering practices.
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Cody Nash
Cody has experience in a range of fields from geobiology and medical genetics to data analytics for commercial clients. Along with validating genetic tests in a private clinic and developing software infrastructure to support analytics (including customizing Jupyter environments on Kubernetes clusters), he has assisted clients with experiment planning, data exploration, and model deployment. Cody's preferred languages include Python and R.
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Lovro Iliassich
Lovro is a machine learning engineer and data scientist, especially enthusiastic about deep learning applications. Combining his academic knowledge with practical experience in the industry, he can contribute to any part of an AI software development process. Lovro's work experience ranges from startups to corporations—he worked as an engineer at Amazon—and research in academic institutions and universities.
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Jason Li
Jason is a data analyst and researcher interested in finding patterns in novel data sets. He specializes in using traditional statistical methods and contemporary machine learning (ML) to extract knowledge from data. His experiences range from ultra-high dimensional and big data to time-series and non-numerical data. Jason is a problem-solver with a proven ability to deliver in different team settings and to communicate with clients with diverse technical backgrounds.
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Art Vancil
Art has 25 years of data architecture and cloud-computing consulting experience—mostly in building enterprise data warehouses. Art is an end-to-end solution architect and chief problem solver with a long history of focused execution—according to a statement of work—and successful delivery in a team setting.
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