How to Solve Big Challenges in Small Biotechs Using Big Data Analytics

Life Sciences, Clinical Trials, Pharmaceutical,
  • Wednesday, November 14, 2018

Small biotechs (companies having 1-10 studies in their portfolio) are the engine of scientific innovations in the biopharmaceutical industry. However, they are saddled with many of the challenges facing big companies such as data silos (operational, financial, etc.) and challenges to quick access to information critical to managing their clinical trials. This is manifested by the fact that they almost exclusively outsource their studies to CROs and they often do not have mature internal clinical development systems (e.g. CTMS and EDC) or IT departments of their own to manage the disparate data that is essential to effectively managing their studies. During this webinar, you will learn how your small biotech can overcome these challenges by leveraging modern AI-enabled clinical analytics platforms via Software as a Service (SaaS) and avoid the infrastructure costs that are commonly observed in big companies.


Amit Gulwadi, Senior Vice President, Clinical Innovations, Saama Technologies

Amit executes Saama’s clinical analytics innovation roadmap by identifying and integrating emerging concepts across the clinical research value chain, fostering and strengthening clinical ecosystem relationships, and communicating Saama’s strategy to key stakeholders.

Charged with helping Saama positively impact the clinical research value chain by improving the pharmaceutical industry’s existing clinical analytics ecosystem, Amit collaborates closely with Saama’s Board of Advisors, product management and marketing teams, customers and partners, including CROs, healthcare-technology startups and data providers. Amit is leading the development of a clinical innovation ROI model to differentiate Saama’s competitive value to customers.

Amit leads Saama’s engagement with emerging clinical process and analytic technology companies, as well as the venture capital community, sharing Saama’s macro views on clinical analytics and learning about new and relevant companies that are disrupting industry norms. Amit translates this insight into recommendations for Saama’s leadership to inform investment and partnership decisions. Amit works closely with internal business and technology groups to understand and help shape their strategies and goals related to application development, artificial intelligence and machine learning, clinical technology, enhanced user experiences, collaboration, mobile, wearables and big data.

Amit organizes and leads executive briefings and follow-up with customers, vendors, and partners to identify areas and opportunities to innovate, optimize the end-user experience, and increase Saama’s business-enabling capabilities through partnerships with innovative data providers and CROs.

Message Presenter

Soumava Lahiri, Associate Director, Customer Engineering, Saama Technologies

Soumava brings over 12+ years of experience spread across data management, analytics, and consulting for pharmaceutical companies in US and UK markets. He has advised several pharmaceutical companies on data integration methodologies, data governance processes, analytics, and visualization techniques to help make informed decisions across commercial and R&D operating groups. His expertise includes providing business solutions that leverage technology-enabling clients to create successful and sustainable information management landscape. His core areas of expertise include Customer Data Management, data visualization, and analytics for R&D Clinical Operations, which includes analytics-driven Risk Based Monitoring of clinical trials.

He has worked with a wide range of pharmaceutical companies from big to small, to build a unique Clinical Analytics Platform that provides:

  1. Information in a way that improves clinical decision-making and proactively identifies where intervention or changes in course are needed
  2. Significant time and resources savings by generating metrics from data that is currently available in disparate systems
  3. Improved metric accuracy by ensuring that data comes directly from source systems rather than using Excel and risking data entry errors
  4. Data on demand by allowing users to access near real-time data when they need it, rather than waiting for reports to be generated making data more widely available to support decision-making at all levels in the organization
Message Presenter

Who Should Attend?

Large to Medium Mid-Market Pharma/Biotech companies and CROs with Phase I-IV clinical studies.

Relevant job titles include:

  • Heads of clinical operations, development, research, strategy, planning, regulatory affairs
  • Chief Medical Officers

What You Will Learn

Join this webinar to learn:

  • How to overcome data management challenges common in small biotechs
  • The benefits of modern AI-enabled clinical analytics platforms via Software as a Service (SaaS)
  • How to avoid the infrastructure costs that are commonly observed in big companies

Xtalks Partner

Saama Technologies

Saama Technologies is the advanced clinical data and analytics company, unleashing wisdom from data to deliver better business outcomes for the life sciences industry. Saama’s unified, AI-driven clinical data analytics platform seamlessly integrates, curates, and animates unlimited sources of structured, unstructured, and real-world data to delivering actionable insights across all therapeutic areas. The award-winning platform gives unprecedented real-time visibility into clinical data, enabling sponsors to file New Drug Applications (NDAs) more efficiently to bring drugs to market faster and at lower costs. For more information, visit

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