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Tech Providers, Inc.
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Information Technology - Sr Business System Analyst
Location: Hybrid at Princeton, NJ or Cambridge, MA
Duration: 06+ Months contract with possible extension
Skills & Experience Required:
Strong large molecule domain knowledge and familiarity with the drug discovery process, including an understanding of early-stage drug discovery assays, data types, and scientific principles. Knowledge of relevant bioinformatics and predictive biological modeling is beneficial; Knowledge/experience in learning and/or applying AI/Client to drug discovery.
Proven ability in gathering, tracing, translating, and managing complex requirements, business rules, and data from varied stakeholders. Inclusive of mapping business processes, user stories, and functional and non-functional requirements. Strong attention to detail to ensure accuracy and completeness of requirements, documentation, and deliverables necessary.
Strong technical aptitude necessary. Ability to navigate and extract information and insights from IT systems and databases, and familiarity with information modelling, data integration methodologies, and data management principles is valuable. Knowledge of programming languages, data analysis tools, or data visualization platforms is a plus.
Exceptional proficiency in analysing data, deriving insights, and presenting findings. Skills in data modelling, statistical analysis, data visualization, or machine learning techniques are advantageous.
Ability to think critically and analytically to understand complex business and technical requirements.
Information Technology - Sr Business System Analyst
Redwood City, CA US
Posted: 08/21/2023
2023-08-21
2023-10-21
Job Number: 20380304
Job Description
Information Technology - Sr Business System Analyst
Location: Hybrid at Princeton, NJ or Cambridge, MA
Duration: 06+ Months contract with possible extension
Skills & Experience Required:
Strong large molecule domain knowledge and familiarity with the drug discovery process, including an understanding of early-stage drug discovery assays, data types, and scientific principles. Knowledge of relevant bioinformatics and predictive biological modeling is beneficial; Knowledge/experience in learning and/or applying AI/Client to drug discovery.
Proven ability in gathering, tracing, translating, and managing complex requirements, business rules, and data from varied stakeholders. Inclusive of mapping business processes, user stories, and functional and non-functional requirements. Strong attention to detail to ensure accuracy and completeness of requirements, documentation, and deliverables necessary.
Strong technical aptitude necessary. Ability to navigate and extract information and insights from IT systems and databases, and familiarity with information modelling, data integration methodologies, and data management principles is valuable. Knowledge of programming languages, data analysis tools, or data visualization platforms is a plus.
Exceptional proficiency in analysing data, deriving insights, and presenting findings. Skills in data modelling, statistical analysis, data visualization, or machine learning techniques are advantageous.
Ability to think critically and analytically to understand complex business and technical requirements.