Data Scientist - II (Associate)

Establishing data workflows and predictive tools to enable more effective identification, characterization, and development of Client medicines and vaccines is a key objective for Client. This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development. You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline. A diverse array of projects spanning data workflows to instrument metrology to predictive sciences ensure this Digital Sciences team helps to enable work across all drug modalities including small molecule, pepProduct, biologics, vaccines, and beyond. The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital/data facing teams across Client Research Laboratories including critical IT collaborators. Responsibilities / Day-to-Day: • Design and development of dashboards, reports, and data exports. • Meets with business clients/SMEs to collect requirements. • Manage projects and timelines. • Estimation of duration of work. • Presentation of updates to collaborators. Quals Actual job title: Data Analyst Education: • Candidates with a degree in computer science or related field; or a degree in the chemistry disciplines with strong programming capabilities. Experience: • 4-6 years of experience Must have/required skills: • Development of dashboards, reports, and data exports • Familiar with programming in R and/or Python and Posit/RStudio/Jupyter • Experience with data visualization tools (Shiny, Spotfire, Dash, PowerBI, or Tableau) • Excellent verbal and written communications skills • Work independently and be able to collaborate as a team • Strive for continuous improvement and suggest innovative solutions to scientists' common challenges related to data visualization • Version control using Git and GitHub Nice to have/preferred skills: • Connecting to AWS (S3, RedShift, Glue, Athena) as a data source for data visualization • Experience with data pipeline tools such as Dataiku or Databricks • Experience with relational databases and SQL • Experience with graph databases (Neo4J or AWS Neptune) • Experience with statistical data analysis and tools (JMP, Minitab) Note: • We could have someone report to site 3 days/week in Boston, Rahway, or West Point,PA. You can submit candidates form MA,NJ and PA. Please make sure mention the desired location on top of the resumes. • Hybrid Role. • 1 year duration with a possibility of extension. • Only submit candidate with legit work authorization with no requirement for sponsorship.