Rephonic
Artwork for Data in Biotech

Data in Biotech

CorrDyn
Biotechnology
Clinical Trials
Drug Discovery
Machine Learning
Drug Development
Data Science
Artificial Intelligence
Real World Data
Precision Medicine
Bioanalysis
Pharmaceutical Industry
Bioprocessing
Mass Spectrometry
Generative AI
AI In Drug Discovery
AI Workloads
Data Integration
Data Fragmentation
Life Sciences
Gene Editing

Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.

Every two weeks, Ross Katz, Principal and Data Science Lead at CorrDyn, sits down with an expert from the world of biotechnology to understand how they use data science to solve technical challenges, streamline operations, and further innovation in their business.

You can learn ... more

PublishesTwice monthlyEpisodes73Founded3 years ago
Number of ListenersCategories
ScienceLife SciencesTechnology

Listen to this Podcast

Artwork for Data in Biotech

Latest Episodes

In this episode of Data in Biotech, host Ross Katz sits down with Paul Finn, Chief Scientific Officer at Oxford Drug Design, for a conversation on what it actually takes to find a drug molecule that works not just on paper but also in the lab, in the... more

YouTube

In this episode of Data in Biotech, host Ross Katz sits down with Arvind Rao, Professor of Computational Medicine and Bioinformatics at the University of Michigan, for a discussion on the gap between what biomedical AI can do and what it can reliably... more

YouTube

In this episode of Data in Biotech, host Ross Katz sits down with Sadegh Salehi, Director of Research and Principal Scientist at Overjet, to explore what rigorous model evaluation actually looks like when the stakes are clinical.

Overjet builds FD... more

YouTube

In this episode of Data in Biotech, host Ross Katz sits down with Jesse Johnson, founder of Merelogic, a software consulting firm specializing in data infrastructure for biotech organizations.

Jesse brings a rare perspective to the conversation: h... more

YouTube

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Biotech Hangout
Biotech HangoutDaphne Zohar, Josh Schimmer, Brad Loncar, Tim Opler and more
Pivot
PivotNew York Magazine

Recent Guests

Arvind Rao
Professor of computational medicine and bioinformatics at the University of Michigan
University of Michigan
Episode: From Tissue to Mechanism to Decision: Building AI for Computational Oncology
Sadegh Salehi
Director of Research and Principal Scientist at Overjet
Overjet
Episode: Cavities in the Data: Building FDA-Cleared AI for Dental Imaging with Overjet
Markus Gershater
Chief Scientific Officer and co-founder of Synthace
Synthace
Episode: Markus Gershater on Why Experimental Design in Biotech is Broken and How to Fix It
Michelle Wiest
Director of IVD Biostatistics at Freenome
Freenome
Episode: Data Science and Diagnostic Models - the What, Why and How with Michelle Wiest
Kevin Brown
Founder/CEO of Standard Model Bio
Standard Model Bio
Episode: The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel
Robert Abel
Chief Scientific Officer, Platform at Schrödinger
Schrödinger
Episode: Physics, Free Energy, & Drug Discovery: Inside Schrödinger's Computational Platform
Ben Locwin
Biotech executive and AI/analytics expert
Independent consultant (biotech)
Episode: AI in biotech: separating hype from reality with Ben Locwin
James Yoder
CEO of OpenBench
OpenBench
Episode: Success-Driven Drug Discovery with OpenBench CEO James Yoder
Eshani Galermo
Staff scientist at Sciex with a Ph.D. in Analytical Chemistry and experience in bioanalytical workloads.
Sciex
Episode: Revolutionizing bioanalysis with high-resolution mass spec

Host

Ross Katz
Principal and Data Science Lead at CorrDyn; hosts Data in Biotech; frequent guest interactions in data science for biotech.

Reviews

4.9 out of 5 stars from 32 ratings
  • A data podcast for biotech

    Data can be messy and it is great to learn from the guests how they use data in biotech for drug development. Ross the host is very knowledgeable himself in data and the conversations are very insightful!

    Apple Podcasts
    5
    Crazyhottommy
    United States3 years ago
  • Great, very accessible podcast

    I’m far from an expert in advanced data and analytics but loved this podcast! Learned a lot and found it to be accessible even to people like me who like data but aren’t deeply technical in the methods of data science. Well done, looking forward to future episodes.

    Apple Podcasts
    5
    Asgrow1333
    United States3 years ago
  • Data in Biotech

    The podcast clearly delineated the myriad of applications for data collection and analysis in biotech. The information was clearly understandable for even a nonprofessional in the field.

    Apple Podcasts
    5
    Lapidii
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Hosts and guests deliver depth without overwhelming newcomers to data science.
Thoughtful, data-forward discussions that make complex techniques accessible.
Listeners appreciate practical examples and real-world constraints in biotech analytics.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Talking Points

Recent interactions between the hosts and their guests.

From Tissue to Mechanism to Decision: Building AI for Computational Oncology
Q: What are the main cautions you advise clinicians and AI teams to consider before deploying these tools in real-world settings?
Focus on reliability and calibration, not just performance metrics. Expect and quantify uncertainty, guard against data shifts and confounding factors, ensure end-to-end interpretability, and assess whether predictions meaningfully change patient care rather than just improving benchmark scores.
From Tissue to Mechanism to Decision: Building AI for Computational Oncology
Q: How do you bridge high-cost spatial transcriptomics with abundant H&E data to link morphology to molecular mechanisms and potential drug targets?
We use a tripartite strategy: start with abundant H&E images and outcomes to identify morphological patterns associated with outcomes, then relate those patterns to spatial transcriptomics to map to underlying molecular pathways, and finally identify drug targets and existing drugs that could modulate those targets, using available pathway and pharmacology databases to connect spectrum from mechanism to therapy.
From Tissue to Mechanism to Decision: Building AI for Computational Oncology
Q: Can you briefly explain what Spifee is and how it improves upon previous graph-based approaches to model the tumor microenvironment?
Spifee replaces the previous scalar interaction scores with a function-valued edge on a graph, allowing the model to capture spatial patterns of intermixing between cell types across space, which provides richer, more prognostic information than a single number. This enables detecting where these interactions occur and how they change over space, leading to more nuanced biological insights and potential prognostic signatures.
Cavities in the Data: Building FDA-Cleared AI for Dental Imaging with Overjet
Q: Can you give us an overview of what Overjet does and what your role looks like day to day as Director of Research?
Overjet builds AI models to analyze dental imaging across multiple modalities, aimed at improving objectivity and communication between dentists and patients. The Director of Research leads training, development, and rigorous evaluation of these models to ensure real-world effectiveness.
Data as a Moat: Why Biotech's Most Valuable Asset is Buried in a Hard Drive
Q: How do biotech organizations navigate the foundation model landscape to decide which models or combinations to use for their tasks?
We're in the early days with varied adoption; firms should balance molecular, cellular, and clinical model endpoints, and consider how data strategy, SOPs, and flexible data capture will feed models now and scale as adoption grows.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Data in Biotech

What is Data in Biotech about and what kind of topics does it cover?

A data-forward look at how life sciences organizations turn data into breakthroughs, with conversations centered on data strategy, model development, regulatory considerations, and operational realities of biotech. Episodes often explore how data quality, data workflows, and governance enable faster discovery, more robust diagnostics, and scalable experimentation—from AI foundations and multimodal patient representations to real-world evidence and regulatory submissions. The show tends to feature practitioners and researchers who bring practical perspectives on building data infrastructure, validating models, and aligning analytics with business and regulatory needs. A notable strength is pairing technical depth with accessible storytelling... more

Where can I find podcast stats for Data in Biotech?

Rephonic provides a wide range of podcast stats for Data in Biotech. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data in Biotech and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Data in Biotech get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Data in Biotech, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Data in Biotech?

Rephonic provides comprehensive predictive audience data for Data in Biotech, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Data in Biotech have?

To see how many followers or subscribers Data in Biotech has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Data in Biotech?

These podcasts share a similar audience with Data in Biotech:

1. The Long Run with Luke Timmerman
2. The Readout Loud
3. Biotech Hangout
4. The AI Daily Brief: Artificial Intelligence News and Analysis
5. Pivot

How many episodes of Data in Biotech are there?

Data in Biotech launched 3 years ago and published 73 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Data in Biotech?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Data in Biotech?

Rephonic pulls ratings and reviews for Data in Biotech from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Data in Biotech?

Rephonic provides full transcripts for episodes of Data in Biotech. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Data in Biotech?

Recent guests on Data in Biotech include:

1. Arvind Rao
2. Sadegh Salehi
3. Markus Gershater
4. Michelle Wiest
5. Kevin Brown
6. Robert Abel
7. Ben Locwin
8. James Yoder

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days