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72 episodes · Fortnightly

Data in Biotech

Data in Biotech brings data leaders from across biotech, pharma, and life sciences into honest conversations about how their organizations actually use data. Host Ross Katz talks with directors, VPs, and heads of data about the real challenges: building data cultures in regulated environments, scaling analytics teams, and turning experimental data into business decisions. Over 58 episodes, the show has featured leaders from companies like Lyell Immunopharma, Recursion, and Tempus.

Hosted by Ross Katz

Episodes

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Episode 33: Reflections & Predictions: Year One with Ross Katz
Ep. 33

Reflections & Predictions: Year One with Ross Katz

Ross Katz reflects on one year of Data in Biotech, sharing key lessons from 30+ episodes and predictions for biotech data science.

39:42Transcript
Dave Johnson — From Moderna to Dash Bio with Dave Johnson
Ep. 32

From Moderna to Dash Bio with Dave Johnson

with Dave Johnson, CEO & Co-Founder at Dash Bio

Dave Johnson, former Chief Data and AI Officer at Moderna, discusses building Dash Bio to transform clinical bioanalysis and drug development.

32:54Transcript
Chitrang Dave — Real-Time Data in MedTech with Chitrang Dave
Ep. 31

Real-Time Data in MedTech with Chitrang Dave

with Chitrang Dave, Global Head of Enterprise Data & Analytics at Edwards Lifesciences

Chitrang Dave of Edwards Lifesciences explores the transformative power of real-time data, AI, and collaboration in MedTech and healthcare.

29:10Transcript
Martin Tromp Permin — Automating Bioprocessing Workflows with Martin Permin
Ep. 30

Automating Bioprocessing Workflows with Martin Permin

with Martin Tromp Permin, Co-Founder at Invert

Martin Tromp Permin of Invert discusses how software automation streamlines bioprocessing data management and speeds up workflows.

37:00Transcript
29
Ep. 29

The Evolution of Genomic Analysis with Sapient

with Mo Jain, Founder and CEO at Sapient

Mo Jain, Founder and CEO of Sapient, on biomarker discovery beyond the genome and accelerating precision medicine for biopharma sponsors.

43:15Transcript
Parul Bordia Doshi — AI and Single-Cell Multiomics with Parul Bordia Doshi
Ep. 28

AI and Single-Cell Multiomics with Parul Bordia Doshi

with Parul Bordia Doshi, Chief Data Officer at Cellarity

Parul Bordia Doshi of Cellarity explores AI-driven drug discovery using single-cell multiomics and building multidisciplinary data teams.

39:55Transcript
Ryan Mork — Generative AI for Therapeutic Proteins with Ryan Mork
Ep. 27

Generative AI for Therapeutic Proteins with Ryan Mork

with Ryan Mork, Director of Data Science at Evozyne

Ryan Mork of Evozyne explains how generative AI and large language models are used to design new biomolecules for drug discovery.

40:23Transcript
Jonathan Eads — Unlocking Genomics Intelligence with Jonathan Eads
Ep. 26

Unlocking Genomics Intelligence with Jonathan Eads

with Jonathan Eads, VP of Engineering at Genomenon

Jonathan Eads of Genomenon discusses balancing software-driven processes and human curation to make genomic evidence actionable.

40:59Transcript
25
Ep. 25

Allogeneic Cell Therapy Manufacturing with Amy Gamber

with Amy Gamber, VP of Manufacturing at Atara Biotherapeutics

Amy Gamber of Atara Biotherapeutics discusses allogeneic T-cell immunotherapy development and manufacturing challenges in cell therapy.

40:00Transcript
24
Ep. 24

A Look Back on Design of Experiments

Abridged re-release pairing interviews with Wolfgang Halter (Merck Life Sciences) and Markus Gershater (Synthace) on design of experiments in biotech.

55:57Transcript
23
Ep. 23

Giving Biotech a Digital Brain with Scispot

with Guru Singh, Co-Founder at Scispot

Scispot co-founders Guru and Satya Singh discuss building a digital brain for biotech with AI-powered data integration and lab automation.

36:56Transcript
22
Ep. 22

AI-Driven Drug Development with Generate:Biomedicines

with Michael Nally, CEO at Generate:Biomedicines

Exploring how Generate:Biomedicines leverages generative AI and computational models to accelerate drug development and discovery.

37:00Transcript
20
Ep. 20

Solving Data Integration in Life Sciences with Ganymede

with Nathan Clark, CEO & Co-Founder at Ganymede

Nathan Clark, CEO of Ganymede, discusses automating data integration and metadata management across life sciences organizations.

44:06Transcript
19
Ep. 19

Open-Source Pipelines for Scientific Research

with Harshil Patel, Director of Scientific Development at Seqera

Harshil Patel of Seqera discusses open-source workflow management, Nextflow, and the nf-core community for scientific research.

41:24Transcript
18
Ep. 18

Biotech Manufacturing Quality with Stewart Fossceco

with Stewart Fossceco, Head of Non-Clinical and Diagnostics Statistics at Zoetis

Stewart Fossceco of Zoetis discusses improving quality assurance and minimizing variability in biotech manufacturing through data.

38:20Transcript
17
Ep. 17

Electronic Lab Notebooks with SciNote

with Brendan McCorkle, CEO at SciNote

Brendan McCorkle, CEO of SciNote, discusses how ELNs balance structure and flexibility to replace paper and Excel in the lab.

43:18Transcript
16
Ep. 16

Developing Sustainable Materials Using AI with Cambrium

with Pierre Salvy, CTO at Cambrium & Lucile Bonnin, R&D Lead at Cambrium

Pierre Salvy and Lucile Bonnin of Cambrium discuss practical AI applications in protein design and building a cloud-native biotech company.

39:51Transcript
15
Ep. 15

Building Data Foundations with Jacob Oppenheim

with Jacob Oppenheim, Venture Partner at Digitalis Ventures

Jacob Oppenheim discusses investor-startup relationships, building data foundations, and the need for a unified data ecosystem in biotech.

42:00Transcript
14
Ep. 14

Challenges of NGS Data Sets with Joseph Pearson

with Joseph Pearson, Global Product Manager, OmicSoft at QIAGEN

Joseph Pearson of QIAGEN OmicSoft discusses challenges of NGS data sets, the value of APIs, and selecting the right bioinformatics tools.

35:00Transcript
13
Ep. 13

How Bayesian Optimization Is Transforming Biotech R&D

with Wolfgang Halter, Head of Data Science & Bioinformatics at Merck Life Science

Wolfgang Halter of Merck Life Science explains how Bayesian optimization accelerates experimental design and reduces R&D costs in biotech.

45:32Transcript

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Frequently Asked
Questions

What is Data in Biotech about?
Data in Biotech is a fortnightly podcast where host Ross Katz interviews practitioners and leaders from biotech, pharma, and life sciences. Episodes dive deep into the technical reality of how data methods drive value — from ML model development and manufacturing analytics to clinical data pipelines and computational biology. The show is built for data leaders and data practitioners working in the space.
Who are typical guests on the show?
Guests include CEOs, Chief Scientific Officers, Chief Data Officers, and VPs of data science and engineering at life sciences companies. Past guests have come from organizations including Lyell Immunopharma, Synthace, Freenome, Prolaio, Immunitas Therapeutics, and 62+ other companies across biotech, pharma, diagnostics, and health tech.
How is Data in Biotech different from other data podcasts?
Most data podcasts stay at the tool or strategy level. Data in Biotech goes deep on both — technical methods and their strategic implications. Guests walk through how they built specific systems, what worked and what failed, and the regulatory and organizational constraints unique to life sciences. The show treats listeners as peers, not an audience.
Are full transcripts available?
Yes. Full transcripts with speaker attribution are available on each episode page.