Saama is the #1 AI clinical analytics platform company, enabling the life sciences industry to conduct faster and safer clinical development and regulatory programs.

Enterprise Software

Data

Software

Saama

Saama's headquarters in Campbell, CA, United States

The Bridgewater office focuses on innovative life sciences solutions, technical architecture, and product management.

Bridgewater

The Glendale office focuses on technology solutions and architecture, driving innovative software and systems development.

Glendale

Bhaskar Sambasivan

Malaikannan Sankarasubbu

Ari Srinivasan

Geetika Saxena

Ryan Probst

Sneha Nair

Richard Harris

Pravin Kumar

Seshan Ramachandran

Prasanna Rao

Jo-Ann Rodriguez

Nekzad Shroff

Avi Kulkarni

Makarand Jawadekar, Ph.D.

Jonathan Zung, Ph.D.

Opinder Bawa

John J. Fox

Mehdi Benchoufi, Ph.D.

Rebecca D. Kush, Ph.D.

David J. Shulkin, M.D.

Freda C. Lewis-Hall

Scot Harper, Ph.D.

Rick Bernstein

Christine Poon

Stephen Cunningham, M.D.

Mohit Kaushal

Joe Bress

Ajit Shetty, Ph.D.

Ian Read

Steve Wise

Suresh Katta

Patrick R. Mccarter

Clive Meanwell

M. R. Rangaswami

Patrick Steele

Kapil Modi

Andrea Jackson

Jonathan Zung

Dalvir Gill

James M Karis

Craig Lipset

Julie A Ross

Luna Yang

Kannan Natarajan

The Software Engineering team at Saama focuses on designing and developing innovative software solutions that power the AI clinical analytics platform. This diverse team of engineers, including software developers, data engineers, and DevOps specialists, collaborates to enhance the functionality, security, and efficiency of the platform, enabling the life sciences industry to expedite clinical development processes. Their work plays a critical role in ensuring that Saama delivers robust and reliable technology solutions for regulatory programs.

Software Engineering

The Product Management team at Saama is responsible for defining and driving the development of innovative AI-driven clinical analytics solutions tailored for the life sciences industry. They collaborate closely with cross-functional teams to gather market insights, prioritize product features, and ensure alignment with customer needs and regulatory requirements. The team focuses on delivering enhancements that accelerate clinical development and improve data-driven decision-making, ultimately contributing to Saama's vision of safer and more efficient trials.

Product Management

This department focuses on the design, development, and management of data systems and pipelines to support data-driven decision-making.

Data Engineering

The Consulting and Advisory Services team at Saama leverages deep expertise in clinical analytics to provide strategic guidance and operational support to life sciences companies. This team works closely with clients to optimize clinical development processes, navigate regulatory requirements, and implement innovative AI solutions, ensuring that projects are executed efficiently and effectively within the evolving landscape of the industry.

Consulting and Advisory Services

The Data Analysis and Statistics team at Saama specializes in leveraging statistical programming and advanced analytics to support clinical development and regulatory programs. By employing a diverse skill set ranging from clinical statistical programming to business intelligence, the team ensures data integrity, performs insightful analyses, and translates complex datasets into actionable insights for life sciences clients, ultimately accelerating clinical trials and enhancing decision-making processes.

Data Analysis and Statistics

This department is responsible for ensuring the quality and reliability of products through systematic testing and validation processes.

Quality Assurance

Saama

Org chart

Board & advisors

Teams

Software Engineering

Product Management

Data Engineering

Consulting and Advisory Services

Data Analysis and Statistics

Quality Assurance

Offices

Saama

Org chart

Board & advisors

Teams

Software Engineering

Product Management

Data Engineering

Consulting and Advisory Services

Data Analysis and Statistics

Quality Assurance

Offices

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