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Urgent! PRINCIPAL SCIENTIST Job Opening In Malaysia, Malaysia – Now Hiring BIOCON SDN BHD

PRINCIPAL SCIENTIST



Job description

Department Details


Role Summary


PROCESS R&D - DATA ANALYTICS (L3-Scientist)
1.

Support manufacturing investigations and process improvements using data analysis and
regression technique.


2.

Perform process monitoring of Manufacturing In process data using Statistical process
control charts to visualize the performance of process over time and detect the onset of
abnormal occurrences
3.

Statistical evaluation of DS stability using confidence interval and mixed mode ANOVA
approach whenever required.


4.

To involve in technical discussions (Internal & CFT) and support the process related
troubleshooting activities (at pilot and MFG scale) as and which required.


5.

Drafting and review of CPV protocol and CPV report.


6.

Support to process and analytical development including; Process comparability evaluation
using Student T-test, Equivalence Test, Tolerance Interval, Confidence Interval etc.

DOE
experimental planning and analysis.


7.

Support manufacturing excellence initiatives using data analysis as required
8.

Develop Predictive models between input and output of specific process by Multiple linear
regression (MLR) which involves techniques like PCA and PLS using SIMCA and JMP.


9.

Manufacturing data collection from the difference equipment�s for process
investigation/improvements
10.

To prepare and review the protocols and technical reports as required
11.

Learn and use the statistical data analysis software such as Minitab, JMP SAS and SIMCA
12.

Work towards the implementation of MVDA and PAT as part of operation excellence
13.

Perform data analysis and co-author CPV and OOT reports


Key Responsibilities


PROCESS R&D - DATA ANALYTICS (L3-Scientist)
1.

Support manufacturing investigations and process improvements using data analysis and
regression technique.


2.

Perform process monitoring of Manufacturing In process data using Statistical process
control charts to visualize the performance of process over time and detect the onset of
abnormal occurrences
3.

Statistical evaluation of DS stability using confidence interval and mixed mode ANOVA
approach whenever required.


4.

To involve in technical discussions (Internal & CFT) and support the process related
troubleshooting activities (at pilot and MFG scale) as and which required.


5.

Drafting and review of CPV protocol and CPV report.


6.

Support to process and analytical development including; Process comparability evaluation
using Student T-test, Equivalence Test, Tolerance Interval, Confidence Interval etc.

DOE
experimental planning and analysis.


7.

Support manufacturing excellence initiatives using data analysis as required
8.

Develop Predictive models between input and output of specific process by Multiple linear
regression (MLR) which involves techniques like PCA and PLS using SIMCA and JMP.


9.

Manufacturing data collection from the difference equipment�s for process
investigation/improvements
10.

To prepare and review the protocols and technical reports as required
11.

Learn and use the statistical data analysis software such as Minitab, JMP SAS and SIMCA
12.

Work towards the implementation of MVDA and PAT as part of operation excellence
13.

Perform data analysis and co-author CPV and OOT reports


Educational Qualifications


Required Education Qualification:

Required Experience: 6 - 8 years


Required Skill Profession

Life Scientists



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