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)

• 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.