| Data Engineer in Woonsocket RI for Looking for locals for GC USC at Boston, Massachusetts, USA |
| Email: [email protected] |
| From: Vaishali Tyagi, KPG99 [email protected] Reply to: [email protected] Role : Bioinformatics Analyst Location : Boston, MA Interview : Video Client : Cancer Institute in Boston Duration : 6 months to start (potential to extend) Any visa Must be local to New England (MA, ME, NH, VT, RI, CT) Must has strong Pharma/BioTech or Clinical background Strong Data Analysis/Data Analytics Experience in Python and R Exposure to a public cloud environment (GCP, Azure, or AWS) Familiarity with health data standards and technologies, e.g. FHIR, OMOP CDM, GA4GH Experience with software development and Agile process is a strong plus Location: - Boston, MA While the work location can be hybrid or fully remote, for the selected candidate must live and work from one of the New England states (ME, NH, VT, MA, RI, CT). Overview: We are seeking a highly motivated Bioinformatics Analyst who is passionate about the data driven discovery and innovation in cancer research and clinical care of patients with cancer. The successful candidate will have opportunities to work across multiple disciplines, including biomedical informatics, data engineering, and data science. You will be working with various types of cancer data-such as clinical, genomic, and medical imaging data-and implementing best practices to enhance scientific data sharing. In this role, you will collaborate with cancer research and operations teams to identify and summarize valuable institutional data assets, extract standardized metadata for continuous integration into our cancer research data catalog, and maximize the data sharing across the institute. The successful candidate is also expected to collaborate with data engineers for the automation of data pipelines and ML/AI workflows in multi-cloud environment, assess emerging data technologies, and integrate multimodal data for AI-ready datasets. Responsibilities: Collaborate with bioinformaticians, engineers, and teams across the institute to explore, analyze and promote institutional and community data assets Develop and maintain reusable data utilities for summarization, metadata extraction, data transformation, and reporting install and assess data processing pipelines and computational tools, evaluate emerging data technologies, and containerize analysis pipelines to enhance analysis reproducibility Design, implement, and maintain scalable pipeline workflows to automate data integration from multiple data system Generate comprehensive technical documentations for developed solutions Advocate and adopt community best practices for data FAIRNESS, data security and sharing across the institution and community. Basic Qualifications: BS or MS in bioinformatics, medical informatics, computer science, data science, computational biology, or a related field. Proficiency in programming with Python and R, along with a solid understanding of data analysis and visualization. Experience in Linux environment, including basic shell scripting and common-line tools Familiarity with distributed code versioning tools such as Git, GitHub Basic understanding of machine learning concepts. Strong problem-solving and communications skills. Preferred Qualifications: 1+ years of working experience in a relevant academic or industry setting 1+ years of hands-on experience with RDBMS and healthcare or omics data Exposure to a public cloud environment (GCP, Azure, or AWS) Familiarity with health data standards and technologies, e.g. FHIR, OMOP CDM, GA4GH Experience with software development and Agile process is a strong plus Keywords: artificial intelligence machine learning rlang microsoft Connecticut Massachusetts New Hampshire Rhode Island Vermont Data Engineer in Woonsocket RI for Looking for locals for GC USC [email protected] |
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| Tue Oct 22 22:01:00 UTC 2024 |