Senior QA Specialist 2, Quality Data Specialist

Location: Hyderabad Be part of Lonza’s world-class Quality Systems and Strategy
(QSS) team. As a Quality Data Specialist, you will play a vital role in ensuring
the consistency and compliance of our manufacturing processes. By leveraging
statistical tools and data science methodologies, you will provide the critical
insights necessary for PQR and CPV reporting, ensuring that our life-saving
products meet the highest standards of safety and quality. What you will get An
agile career and dynamic working culture. An inclusive and ethical workplace.
Compensation programs that recognize high performance. Exposure to advanced data
systems and statistical methodologies in a global GxP environment. The
opportunity to work with cross-functional teams to drive continuous improvement.
The full list of our global benefits can also be found on
https://www.lonza.com/careers/benefits What you will do Generate and interpret
control charts for Periodic Quality Review (PQR) and Continued Process
Verification (CPV) reports across multiple departments and business units.
Ensure the integrity of raw data within source systems, including Statistica,
LIMS, and MES, to maintain accurate and compliant quality records. Communicate
data excursions in a timely manner to relevant stakeholders to ensure business
continuity and proactive risk management. Maintain and deliver consistent
control charting for upcoming production campaigns, ensuring seamless transition
and oversight between batches. Serve as the primary point of contact for
technical inquiries related to statistics, data analysis, and complex data
querying. Provide expert support for investigations by utilizing statistical
tools and data science methodologies to identify root causes and trends.
Collaborate with local functional leads to gather and validate data requirements
across various business units. What we are looking for Degree in Mathematics,
Statistics, Data Science, Life Sciences, or a related field with a strong
emphasis on data analysis. Experience in a Quality or Manufacturing environment
(GxP/GMP) is highly preferred. Proficiency in statistical software (e.g.,
Statistica, Minitab) and familiarity with quality systems like LIMS and MES.
Strong analytical and problem-solving skills, with the ability to interpret
complex datasets and identify significant trends. Excellent communication
skills, with the ability to translate technical statistical findings into
actionable insights for non-technical stakeholders. High attention to detail and
a steadfast commitment to data integrity and compliance standards. Ability to
work independently while managing multiple priorities across different business
units. About Lonza At Lonza, our people are our greatest strength. With 30+
sites across five continents, our globally connected teams work together every
day to manufacture the medicines of tomorrow. Our core values of Collaboration,
Accountability, Excellence, Passion and Integrity reflect who we are and how we
work together. Everyone’s ideas, big or small, have the potential to improve
millions of lives, and that’s the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique
perspectives to the table. At Lonza, we value diversity and are committed to
creating an inclusive environment for all employees. If you’re ready to help
turn our customers’ breakthrough ideas into viable therapies, we look forward to
welcoming you on board. Ready to shape the future of life sciences? Apply now.