Job Description 

For more than 130 years, Lilly has been dedicated to meeting the health 
care needs of people in the United States and around the world. We address 
these needs primarily by developing innovative medicines—investing a higher 
percentage of our sales in research and development than any other major 
pharmaceutical company. If you are interested in being considered for 
employment with a “Best in Class” Pharmaceutical company, please review the 
following opportunity:

Postdoctoral Scientist - Chemometrics

We are looking for a highly motivated postdoctoral scientist experienced in 
the area of chemometrics to study the feasibility of applying multivariate 
latent variable modeling methods, such as principal components regression 
(PCR) and partial least squares (PLS), for product scale-up and product 
transfer between pharmaceutical production lines.  The basis of the 
research will be in direct application of Professor John McGregors 
(McMaster University) concept of applying empirical latent variable 
modeling via mining of existing historical databases and using very limited 
design of experiments.  The role is cross functional in nature, requiring 
regular interactions with Analytical Scientists, Process Chemists, 
Pharmaceutical Scientists, and Statisticians.  Over the course of this 
assignment, there will be a variety of opportunities for publication in 
peer-reviewed journals and presentations at major conferences.


Develop a systematic approach in applying multivariate latent variable 
modeling methods, PCR and PLS, for product scale-up of both Drug Substance 
and Drug Product as well as the effective transfer of the scaled-up process 
between production sites.

Pilot this systematic approach to a product currently under development on 
a scale-up campaign ranging from small scale development through full scale 

Apply this methodology to an existing commercial manufacturing process to 
confirm this approach is valid on an existing product.

Transfer knowledge obtained in applying this approach to future scale-up 
campaigns between production sites.


Ph.D. in Chemistry, Chemical Engineering, Mechanical Engineering, 
Statistics, Bioinformatics, or a related field.

A strong background in process chemometrics and database 

Expert knowledge in PCA, PLS, PLS-DA, SIMCA, and DOE along with working 
knowledge of commonly used software packages (e.g., Excel, JMP, Pirouette 
and MATLAB).


Working knowledge of SQL and various VBA programming languages highly 

A strong understanding of analytical instrumentation, process automation 
and optimization theory is a plus.

Excellent written, verbal, and interpersonal skills.

Lilly credits its exceptional employees for its successes, and knows the 
key to ongoing achievement lies in attracting and retaining the best 
people. A company rich in heritage, Lilly employs individuals, conducts 
research and markets products worldwide.  By providing for the unmet needs 
of our customers through a continuous stream of innovation, we will outgrow 
all competitors.

Lilly earns consistent and wide recognition for creating an exceptional 
work environment: 

Business Week magazine 50 Best Places To Launch A Career™

FORTUNE America’s Most Admired Companies™ 

FORTUNE 50 Best Companies for Minorities™ 

Working Mother 100 Best Companies for Working  Mothers™  

Industry Week magazine 100 Best-Managed Companies™ 

Business Ethics magazine 100 Best Corporate Citizens™ 

Science magazine Best Companies for Scientists™


Send resume to\careers Job ID: 50319717