Scientist MSAT

MUST SUBMIT CODING EXAMPLES WITH RESUMES

That is very critical at this level of scientist. They need to have direct experience cleaning and transforming large scale data, using advanced SQL with relational databases, use AWS/Snowflake for data building and management, building pipelines and then using python for statistical analysis as well. Role can be HYBRID or REMOTE, HOWEVER required to be local to PA or NJ so they can drive into a Client location with no commuting issues when it is required Masters degree is required Required experience with Python and SQL - REQUIRED Must have MSAT or Manufacturing background Will work on a major project, will help setup connections, and explore data analysis Will research specific materials Must be a critical thinker Must be eager to learn

MUST HAVE PROGRAMMING AND CODING EXPERIENCE

Will help with coming up with unique ways to solve problems or obstacles Must have hands on coding experience (versus using AI solutions) Qualifications Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely related discipline preferred; Master’s with 3-5+ years experience. PhD with 0-3+ years experience. Experience coordinating testing with external/internal analytical labs and interpreting lab reports. Knowledge of GMP principles, validation strategies, and risk assessment methodologies (e.g., FMEA). Familiarity with supplier qualification practices and vendor communications. Demonstrated experience supporting material investigations, specification setting, qualification oversight, change control, and tech transfer in a regulated manufacturing environment (pharma, biotech, medical device, or related) preferred. Strong data analysis skills and ability to synthesize manufacturing and analytical datasets to support root cause and risk assessments. Proven technical writing skills for regulatory grade reports, specifications, and protocols. Experience collaborating with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams. Familiarity with electronic quality systems (eQMS, LIMS), manufacturing systems (MES), SAP and common data tools (Excel, Python/R, JMP, or similar). Prior industry experience in MSAT or material science support roles within regulated manufacturing preferred. #J-18808-Ljbffr LanceSoft, Inc.