Quality Compliance Associate

Basic Qualifications:

Doctorate degree and 1 years of Data Science, Quality or Operations experience OR

Master's degree and 2 years of Data Science, Quality or Operations experience OR

Bachelor's degree and 3 years of Data Science, Quality or Operations experience.

Preferred Qualifications:

. Bachelor's or Master's degree in a relevant field such as Computer Science, Data Analytics Chemistry, Biochemistry, Pharmaceutical Sciences, Engineering, or a related discipline.

. Proficiency in programming languages with emphasis on SQL, Python and R.

. Experience with data visualization tools or packages, such as Spotfire, Power BI or Tableau.

. Experience with LIMS, MES, ELN, and other digital QC systems to extract, analyze, and interpret complex datasets.

. Strong background in statistical data analysis, process monitoring, and root cause investigations in QC environments.

. Experience with advanced statistical/analytical techniques and machine learning algorithms (structured and unstructured data)

. Experience with Databricks platform for data analytics and MLOps

. Experience working with big data platforms, cloud-based analytics (AWS, Azure, GCP), and automation tools for QC data integration.

. Ability to translate complex QC datasets into actionable insights to enhance laboratory efficiency, compliance, and decision-making.

. Experience in pharmaceutical, biotech, medical device, or highly regulated industries where QC compliance is critical.

. Expertise in data governance, audit trail management, and data security best practices in a QC setting.

. Expertise in QC technology and digital transformation.

. Excellent Organisational, Communication Skills and Time Management.

. Ability to work under minimal supervision , identify and manage competing priorities.