Life Sciences Infographic

Our Life Sciences Specialties

Clinical Statistical Programming

With 40 years of experience in this domain, our highly- experienced Life Sciences resources provide quality, consistency and flexibility.

Analytics/Data Science

We leverage software development best practices with extensive clinical trials expertise.

Clinical Application Development

Our application developers with clinical trial experience help you modernize the clinical trials reporting process. With 40 years in the Life Sciences field, we have deep software development expertise.

Clinical Resourcing Solutions

We help you quickly scale up or down to meet study needs.

R Enablement

With 40 years in the Life Sciences field, our experts help Big Pharma organizations move to R improving productivity and reducing SAS investment.

Biostatistics

Along with strong collaboration across functional areas, we provide scientifically and therapeutically aligned clinical trial planning, execution & analysis.

LIFE SCIENCES CASE STUDIES
Female lab tech with tablet
Assisting a Pharma Company with Updating Product Complaint System

Corporate Meeting
Global Medical Device Company Turns to Experis for Data Protection and Risk Reduction

Experis leveraged our extensive experience in managing complex technical projects to aid a large global medical device and pharmaceutical company looking for solutions to protect data and reduce medical device business risk.

Female dermatologist at pharmacy
Revitalized Clinical Programming Processes for a Global Pharma Company

Experis provided a customized statistical programming program that met the unique needs of a global biopharmaceutical company looking to diversify and expand its statistical programming group’s support team.

CLIENT TESTIMONIAL

Study Lead

at a Top 5 Biopharmaceutical Company

"[The consultant] is again proving to be a pivotal member of the team on our project. He has exceptional technical skills and is very good at making suggestions to the team to resolve any complex programming problem."