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QuartzBio’s team has deep experience in technology-enabled solutions for the life science industry. In this blog series, we invited you to get to know a member of the QuartzBio team.

This month, we are delighted to talk with Caitlin Cook, QuartzBio’s Director, Customer Success. After learning about Caitlin here, please feel free to connect with her on LinkedIn.

  1. In your own words, what do you do? 
    Modern drug development is a collaborative process involving a multitude of stakeholders – from scientists and researchers to data analysts and regulatory professionals. My team’s role is to foster and maintain strong, trust-based relationships between our company and our clients while also encouraging collaboration among all those various teams. In essence, we’re the glue that binds these elements together and ensures that the exchange of knowledge, expertise, and data flows seamlessly.

    As the Director of Customer Success, my mission is crystal clear: to empower our clients with the knowledge, tools, and support they need to thrive in an increasingly data-driven world. This role is at the intersection of technology and human connection, bridging the gap between innovation and its real-world impact. My team and I provide solutions to help pharmaceutical and biotechnology companies accelerate the development of new treatments for the patients that need them.  We encourage our customers to think differently about the way they currently approach sample and biomarker data management.

    One of the most exciting aspects of my work is the opportunity to guide our clients through the dynamic and ever-evolving realm of data management. We work hand in hand with pharmaceutical companies to design custom solutions that align perfectly with their needs. This journey involves identifying challenges, setting clear objectives, and creating a roadmap to success.

  2. What is your fondest memory of working at QuartzBio?
    I was fortunate enough to be part of an amazing milestone for QuartzBio: our inaugural User Summit in November 2022. The Summit was a testament to the strength of community, shared vision, and commitment to the advancement of clinical biomarker sample and data operations management.

    The challenges in the industry are manifold, and we wanted to hear directly from our clients to understand their unique perspectives. As Clinical Biomarker Sample and Data Operations Managers, they are the unsung heroes navigating a complex ecosystem. Common industry challenges echoed loudly, and the Summit included discussions around data integration, data quality, and the need for more efficient and scalable solutions.

    The discussion at the Summit validated the need for a reliable partner to alleviate these burdens. It provided a platform for our clients to voice their current challenges, but more importantly, it served as a catalyst for solutions. The main takeaways from our clients were both inspiring and invigorating. The clear message I took away from our time together was that our products are pivotal in lessening the manual labor that often leads to resource burnout and attrition. By providing the right tools to do their jobs, we’re contributing to a healthier, more sustainable work environment. We empower our clients to define success within their organizations by providing data that contributes directly to the creation of Key Performance Indicators (KPIs). This alignment between our technology and their vision is a driving force behind their success. The resonance between our company culture and our clients is a testament to the mutual commitment to progress and innovation.

    We’re not just partners; we’re collaborators in a shared journey. Our clients value us for our efficiency and flexibility. In an industry marked by constant change, these attributes ensure our solutions evolve with them.

    I couldn’t help but be excited about the future. After attending that event and talking with our clients, I knew I made the right choice to join the QuartzBio leadership team.

  3. Complete this sentence: QuartzBio is _________ because _________.
    QuartzBio is pioneering because of our innovative and groundbreaking role in the field of biomarker data platforms.

    Describing QuartzBio as ‘pioneering’ captures the company’s commitment to both push the boundaries of what is possible and lead the way in a field that is critical for the future of healthcare and clinical research.

  4. Complete this sentence:  QuartzBio customers are _________ because _________.
    QuartzBio customers are resilient and creative because they are caring and innovative.

  5. What piece of art – book, movie, music, artwork, etc. – inspired you the most and why?
    Living in Atlanta, Georgia for more than 10 years has given me insights and fresh perspectives to a melting pot of creativity. I spent much of my time during the pandemic quarantined in the north-end of the city where violent riots, looting, and vandalism destroyed most of the shops in the area. In one shop, though, there was a sculpture of a silver woman standing resilient and untouched. This metal composite figure turned out to be the work of Martin Dawe, a sculptor famous to local Atlantans for his giant historical pieces around the city such as the World Athletes Monument and the Dr. Martin Luther King Jr. monument.

    The silver woman, also known as ‘Repose’, inspired me and is in my home today. She is a testament of strength and grace, and a reminder to me to be unwavering in how I show up in the world every day.

  6. What’s the best piece of advice you have ever been given?
    “Every day for the rest of your life you will find yourself at one of three phases: aspiration, success, failure. You will battle ego in each of them. You will make mistakes in each of them. You must sweep the floor every minute of every day. And then sweep again.” – Ryan Holiday

    My interpretation: The work to improve never stops. You can sweep your floors and yet they are dirty again tomorrow. Effort isn’t a one-time thing. You must commit to yourself and others each day, over and over again.
Connect with Caitlin on LinkedIn
https://www.quartz.bio/wp-content/uploads/2024/08/QB_Meet-Cait-Cook_10202023_V1.png 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2023-11-02 15:31:542023-11-02 15:31:54Meet a QuartzBio Employee: Caitlin Cook
QuartzBio Webinar_Unify Clinical Biomarker Data
QuartzBio Webinar_Unify Clinical Biomarker Data

Explore patient biomarker profiles across assays and vendors with a single solution

Duration: 30 minutes

Sign up to watch the webinar:

What you’ll learn:

Biomarkers, when used to guide clinical programs, could mean the difference between success and failure. 

But exploratory biomarker data can be a headache to manage. Translational and data science teams struggle with disconnected data flows from specialty labs, sponsor data processing pipelines, and clinical data stores.

Join Bill Hall for a webinar demo of the QuartzBio® Biomarker Intelligence (enterprise Biomarker Data Management) solution. 

We’ll show you how to

  • Generate patient profiles to view tumor burden over course of treatment
  • Explore multi-marker views of patient profiles
  • Review ancillary data (e.g. images)
  • Evaluate patient profiles on a cohort level
  • Cross-reference biomarker measures across file types; e.g., compare ctDNA profiles of interest with clinical efficacy biomarkers such as immunohistochemistry

Who should attend: Translational Research teams, Biomarker Operations teams, Clinical/Biomarker Data Science teams, Clinical Development teams, Bioinformatics and Computational Biology teams, Office of the CIO/CTO, Data Management teams

Watch Now >>

https://www.quartz.bio/wp-content/uploads/2023/08/LinkedIn_Webinar_Unify-Clinical-Bi-Data_1200x1200_C.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2023-08-11 15:29:582025-04-15 10:43:27Webinar On Demand: Unifying Clinical & Biomarker Data

AI/ML can be a powerful, error-reducing tool for managing clinical sample data as well as biomarker data.

AI/ML-based tools should not replace human judgment, particularly for insight generation, at least until AI/ML-based tools are extensively and rigorously validated (as any piece of critical software would be). Furthermore, regulatory compliance and data privacy are of utmost importance and must be considered when building and using solutions that leverage generative AI frameworks.

However, near-term applications of AI/ML can dramatically improve any tedious process involving a human inspecting data. We list some of these processes in the box below, along with steps we recommend taking to reduce risk in each case.

Read more
https://www.quartz.bio/wp-content/uploads/2024/08/AI-ML-processes-in-drug-development-by-QuartzBio-202305.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2023-05-25 19:28:412023-05-25 19:28:41Unleashing Innovative, AI/ML-Based Processes While Reducing Risks for Drug Development

December 10, 2020 — Biomarker-guided trials frequently have an international footprint of sites to reach targeted patient populations and involve a complex network of specialty labs. Join us for our upcoming webinar, where QuartzBio’s Tobi Guennel will discuss how his team is breaking down data siloes to create actionable insights into availability and quality of samples and data. These insights allow clinical and translational teams to streamline trial operations and enable early course correction.

Read more
https://www.quartz.bio/wp-content/uploads/2024/08/Picture19.jpg 342 653 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2022-12-10 22:00:002025-01-23 15:50:55Centralizing PK, Clinical, and Exploratory Data to Streamline Biomarker-Centric Trial Operations
QuartzBio Connecting Raw Processed and Ancillary Data
QuartzBio Connecting Raw Processed and Ancillary Data

Translational and clinical teams spend more than 70% of their time managing, cleaning, and harmonizing data generated in biomarker-rich clinical programs.

In a webinar now available on demand, we demonstrated how the QuartzBio® Biomarker Intelligence solution addresses one set of frequently intractable challenges: connecting raw, processed, and ancillary data across multiple clinical studies.

We invite you to sign up for on-demand access to the recorded webinar.

Multiple Assay Modalities, File Types, Data Storage Locations

As we have previously described, research teams are generating biomarker data from a wide variety of assay modalities, and this data can be housed in multiple, disconnected storage locations. In the example use case described in the webinar, data was being generated from targeted assays like flow cytometry and immunohistochemistry to high-throughput omics assays.

QuartzBio’s solution is specifically engineered to ingest, standardize, visualize, and analyze this data. The unified data platform connects raw and processed data to ancillary files, such as the images used for immunohistochemistry quantification or PDF omics reports. All of the raw files are available for download individually or in bulk. They can also be previewed directly within the user interface.

As shown in Video 1, the QuartzBio enterprise data platform can centralize and harmonize data from multiple file types across clinical programs, including:

  • Image files
  • Tabular files
  • Omics files, e.g., BAM or VCF files
  • Sequencing reports for particular mutations or genomic regions of interest
Video 1 (Click image to view video): The enterprise data platform can centralize and harmonize data from multiple file types across clinical programs. Video demonstrates access to images, PDF files, and genomics data.

As shown in Video 2, QuartzBio’s solution can combine processed files with harmonized clinical annotations, with both subject and sample level data, as well as the relevant quantified reportables for a specific assay modality. These reportables are very configurable and can be changed according to the needs of a sponsor, a program, or even a specific study.

Video 2 (Click image to view video): Processed files combine harmonized clinical annotations with both subject- and sample-level data.

The QuartzBio platform can also further preprocess raw assay data directly and apply quality control metrics as well as normalization techniques.

In summary, the webinar demonstrated how the biomarker data modules of the QuartzBio platform can enable easy access to both key raw and processed data assets through the user interface, in addition to robust visualization and data exploration capabilities.

Flexible Biomarker Data Management Means Faster Deployment

QuartzBio’s enterprise-grade Biomarker Intelligence provides a flexible, scalable solution for transforming biomarker data into consumable information across a sponsor’s entire study portfolio.

This resilient approach is enabled by a robust enterprise data platform with a library of pre-built, configuration-ready pipelines for data ingestion.

Contact us to learn more about data management SaaS solutions and let us know which additional features and capabilities you’d like featured in our next webinar.

Contact Us to Continue the Conversation
https://www.quartz.bio/wp-content/uploads/2022/10/Linkedin_Connecting-Data_Blog_1200x1200.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2022-10-31 14:32:362025-05-27 15:46:23Connecting Raw, Processed, and Ancillary Data with a Biomarker Data Management Solution

Duration: 30 minutes

Register for the Webinar:

Translational and clinical research teams spend more than 70% of their time wrangling information from disconnected clinical trial data sets. 

Data ends up in silos, making it hard to compile information and surface insights. 

Watch this short webinar, where Adam Brown and Mike Waters will demonstrate how integrating exploratory biomarker, PK, and clinical data in a unified data platform enables teams to interrogate trends and identify insights as data is generated on-study. 

Read more

Register for the Webinar:

Translational and clinical research teams spend more than 70% of their time wrangling information from disconnected clinical trial data sets. 

Data ends up in silos, making it hard to compile information and surface insights. 

Watch this short webinar, where Adam Brown and Mike Waters will demonstrate how integrating exploratory biomarker, PK, and clinical data in a unified data platform enables teams to interrogate trends and identify insights as data is generated on-study. 

Read more
https://www.quartz.bio/wp-content/uploads/2024/08/BDM-14SEP-Landing-page-archive-image.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2022-08-17 22:04:032024-08-23 16:24:04Webinar: Overcoming Biomarker Data Chaos with a Single Data Platform

Join QuartzBio at the 8th Annual Bioinformatics Strategy Meeting East Coast USA for the “Omics-Driven Approaches” track on 23 May 2022.

ROUNDTABLE DISCUSSION: “Turning Multi-omic Data Chaos into Translational Insights”

Mike Waters of QuartzBio will facilitate a discussion among 10-15 industry leaders around critical topics relevant to biomarker-rich clinical trials:

Read more
https://www.quartz.bio/wp-content/uploads/2024/08/Bioinformatics-Strategy-Meeting-QuartzBio-2022.png 716 1367 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2022-03-15 22:14:592022-03-15 22:14:59May 23: Join QuartzBio at the Bioinformatics Strategy Meeting East Coast

January 10, 2022 — With immuno-oncology assets progressing in the clinic, a growing biotechnology company we work with faces an increasingly common challenge:

Their trials are generating large datasets across a wide range of assay modalities (Figure 1), but the data remains siloed.

In addition to clinical data coming from the clinical research organization (CRO), the velocity of data coming from an assay services laboratory continuously delivering biomarker data from flow cytometry, immunohistochemistry, and genomics platforms quickly becomes overwhelming. Still another, separate data stream comes from a specialty laboratory delivering T-cell receptor (TCR) profiling data.

Read more
https://www.quartz.bio/wp-content/uploads/2022/01/QB_Linkedin_From-IHC-to-Immune_1200x1200-1.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2022-01-11 23:37:372024-08-16 11:23:37From IHC to Immune Profiling: Managing Data Breadth and Depth to Inform Clinical Programs

August 31, 2021 — Clinical samples are moving across an increasing number of physical/virtual locations and data is delivered in an expanding array of file formats as clinical trials become increasingly more complex and data rich (report).

Biospecimens are analyzed using a variety of assay technologies, each generating its own set of reportables, quality control metrics and data/file formats. Data is delivered through multiple, disconnected pipelines (Figure 1).

This complexity creates obstacles for many functional groups within sponsor organizations:

Read more
https://www.quartz.bio/wp-content/uploads/2021/08/QB_Linkedin_Cross-Functional-Impact_1200x1200.jpg 1200 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2021-08-31 19:26:132024-08-16 11:24:58From Translational Teams to Biomarker Operations: The Cross-Functional Impact of a Fragmented Clinical Trial Data Ecosystem

Register for the webinar here

Title: Transcending Biomarker Data Chaos: How Integrating Disparate PK, Clinical & Exploratory Data Enables Deep Translational Insights

Duration: 30 minutes

You will see how teams unlock translational intelligence:

  • Navigate vast exploratory data – identify trends and data points of interest
  • Surface insights – analyze biomarker trends in collaborative dashboards across subject IDs, time points, response status, and treatment groups
  • Access data rapidly – point and click navigation to underlying data files to interrogate the raw data behind the summary values
  • Interrogate cross assay – map to a common data dictionary to enable rapid interrogation of trends across assay modalities: within and across studies
Read more
https://www.quartz.bio/wp-content/uploads/2024/08/BDM-Sept-21-Webinar-LinkedIn-Ad-2.png 630 1200 QuartzBio Team https://www.quartz.bio/wp-content/uploads/2025/03/QuartzBio-Banner-Logo_Blue.svg QuartzBio Team2021-08-23 21:13:022021-08-23 21:13:02Webinar On Demand: Transcending Biomarker Data Chaos
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