Episodes
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This week, Harshil Patel, Director of Scientific Development at Seqera, joins the Data in Biotech podcast to discuss the importance of collaborative, open-source projects in scientific research and how they support the need for reproducibility.
Harshil lifts the lid on how Nextflow has become a leading open-source workflow management tool for scientists and the benefits of using an open-source model. He talks in detail about the development of Nextflow and the wider Seqera ecosystem, the vision behind it, and the advantages and challenges of this approach to tooling.
He discusses how the nf-core community collaboratively develops and maintains over 100 pipelines using Nextflow and how the decision to constrain pipelines to one per analysis type promotes collaboration and consistency and avoids turning pipelines into the âwild west.â
We also look more practically at Nextflow adoption as Harshil delves into some of the challenges and how to overcome them.
He explores the wider Seqera ecosystem and how it helps users manage pipelines, analysis, and cloud infrastructure more efficiently, and he looks ahead to the future evolution of scientific research.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
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Chapter Markers
[1:23] Harshil shares a quick overview of his background in bioinformatics and his route to joining Seqera.
[3:37] Harshil gives an introduction to Nextflow, including its origins, development, and the benefits of using the platform for scientists.
[9:50] Harshil expands on some of the off-the-shelf process pipelines available through NFcore and how this is continuing to expand beyond genomics.
[12:08] Harshil explains NFcoreâs open-source model, the advantages of constraining pipelines to one analysis per type, and how the Nextflow community works.
[17:43] Harshil talks about Nextflow's custom DSL and the advantages it offers users
[20:23] Harshil explains how Nextflow fits into the broader Seqera ecosystem.
[26:08] Ross asks Harshil about overcoming some of the challenges that arise with parallelization and optimizing pipelines
[28:01] Harshil talks about the features of Wave, Seqeraâs containerization solution.
[32:16] Ross asks Harshil to share some of the most complex and impressive things he has seen done within the Seqera ecosystem.
[35:42] Harshil gives his take on how he sees the future of biotech genomics research evolution.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week, we are pleased to have Stewart Fossceco, Head of Non-Clinical and Diagnostics Statistics at Zoetis and an expert in pharmaceutical manufacturing, join us on the Data in Biotech podcast.
We sat down with Stewart to discuss implementing and improving Quality Assurance (QA) processes at every stage of biotech manufacturing, from optimizing assay design and minimizing variability in early drug development to scaling this up when moving to full production. Stewart talks from his experiences on the importance of experimental design, understanding variability data to inform business decisions, and the pitfalls of over measuring.
Along with host Ross Katz, Stewart discusses the value of statistical simulations in mapping out processes, identifying sources of variability, and what this looks like in practice. They also explore the importance of drug stability modeling and how to approach it to ensure product quality beyond the manufacturing process.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
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Chapter Markers
[1:39] Stewart starts by giving an overview of his career in biotech manufacturing.
[3:54] Stewart talks about optimizing processes to control product quality in the early stages of the drug development process.
[7:27] Ross asks Stewart to speak more about how to optimize and minimize the variability of assays to increase confidence in clinical results.
[12:11] Stewart explains the importance of understanding how assay variability influences results and how to handle this when making business decisions.
[14:13] Ross and Stewart discuss the issue of assay variability in relation to regulatory scrutiny.
[17:07] Stewart walks through the benefits of using statistical simulation tools to better understand how an assay performs.
[19:49] Stewart highlights the importance of understanding at which stage sampling has the greatest impact on decreasing variability
[22:09] Stewart answers the question of how monitoring processes change when moving to full production scale.
[26:39] Stewart outlines stability modeling and the importance of stability programs in biotech manufacturing.
[30:38] Stewart shares his views on the biggest challenges that biotech manufacturers face around data.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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Missing episodes?
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This week, we are pleased to welcome to the Data in Biotech podcast Brendan McCorkle, CEO of SciNote, a cloud-based ELN (Electronic Lab Notebook) with lab inventory, compliance, and team management tools.
In this episode, we discuss how the priorities of âResearchâ and âDevelopmentâ differ when it comes to the data they expect and how they use it, and how ELNs can work to support both functions by balancing structure and flexibility. We explore the challenges of developing an ELN that serves the needs and workflows of all stakeholders, making the wider business case for ELNs, and why, in the lab, paper and Excel need to be a thing of the past.
Brendan is upfront about the data challenges faced by biotechs, which do not have one-vendor solutions. He emphasizes the importance of industry collaboration and software vendorsâ role in following the principles of FAIR data. We also get his take on the future of ELNs and how they can leverage AI and ML.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
Chapter Markers
[1:40] Brendan gives a whistlestop tour of his career and the path to setting up SciNote.
[4:20] Brendan discusses the principles of FAIR data and the challenges of adhering to them in the biotech industry.
[6:15] Brendan talks about the need to balance flexibility and structure when collecting R&D data.
[13:34] Brendan highlights the challenge of catering to diverse workflows, even within the same company.
[16:05] Brendan emphasizes the importance of metadata and how vendors, like SciNote, can help collect it with flexible tools for data entry and post-processing.
[18:59] Ross and Brendan discuss how to create an ELN that serves all stakeholders within the organization without imposing creativity constraints on research scientists.
[21:57] Brendan highlights how benefits like improving loss reduction and efficiency form part of the business case for a tool like SciNote.
[24:25] Brendan shares real-world examples of how companies integrate SciNote into their organizations and the need to work with other systems and software.
[34:01] Ross asks for his advice to biotech companies considering implementing ELNs, particularly into their workflows.
[39:10] Brendan gives his take on incorporating ML and AI within SciNote.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week, we are pleased to be joined on the Data in Biotech Podcast by Pierre Salvy, who recently became the CTO at Cambrium, and his colleague Lucile Bonnin, Head of Research & Development at Cambrium.
As part of the Cambrium team behind NovaCollâą, the first micro-molecular and skin-identical vegan collagen to market, Pierre and Lucile share their practical experiences of using AI to support protein design.
We ask why Cambrium, as a molecular design organization, decided to focus on the cosmetics industry and dig into the factors that have driven its success. From developing a protein programming language to the challenges of collecting and utilizing lab data, Pierre and Lucile give a detailed look under the hood of a company using data and AI to accelerate its journey from start-up to scale-up.
They also talk to host Ross Katz about the benefits of working as a cloud-native company from day zero, de-risking the process of scaling, and opportunities for new biomaterials.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
Chapter Markers
[1:34] Pierre and Lucile make a quick introduction and give an overview of Cambriumâs work using AI to design proteins with the aim of developing sustainable materials.
[4:00] Lucile introduces NovaCollâą, and Pierre elaborates on the process of bringing Cambriumâs first product to market.
[7:37] Ross asks Pierre and Lucile to give an overview of the considerations and challenges of protein design.
[11:01] Pierre and Lucile explain how Cambrium works with potential customers to design specific proteins that meet or exceed their expectations.
[12:49] Ross and Pierre discuss how Cambrium approached developing the data systems it needed to explore the protein landscape and how the team optimized the lab set-up.
[18:04] Pierre discusses the protein programming language developed at Cambrium.
[21:24] Lucile and Pierre talk through the development of the data platform at Cambrium as the company has scaled and the value of being cloud-native.
[24:12] Lucile and Pierre discuss how they approached designing the manufacturing process from scratch and how to reduce risk at every stage, especially while scaling up.
[31:44] The conversation moves to look at how Cambrium will use the processes and data platform developed with NovaCollâą to explore opportunities for the development of new biomaterials.
[34:42] Pierre gives advice on how start-ups can be smarter when selecting an area of focus.
[36:27] Lucile emphasizes the importance of getting cross-organizational buy-in to ensure successful data capture.
[39:01] Pierre and Lucile recommend resources that may be of interest to listeners seeking more information on the topics covered.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week, we are pleased to welcome Jacob Oppenheim, Entrepreneur in Residence at Digitalis Ventures, a venture capital firm that invests in solutions to complex problems in human and animal health.
Jacob sat down with Ross to discuss the importance of establishing strong data foundations in biotech companies and how to approach the task. We explore the challenges biotech organisations face with existing tools. What are the limitations, and why are current data tools and systems not yet geared toward helping scientists themselves extract meaningful insights from the data?
We also get Jacobâs take on AI in the biotech space and what is needed for it to reach its full potential, plus some of the opportunities new modelling capabilities will allow scientists to explore.
Finally, we looked at the topic of building a team, how to approach this within a start-up, and the role consultancies play in providing expertise and guidance to early-stage biotech companies.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in the life sciences.
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Chapter Markers:
[1:08] Jacob gives a quick overview of his career to date and explains how he landed in his current role at Digitalis Venture and what differentiates it as a venture fund.
[07:42] Ross asks Jacob about the biggest challenges and opportunities facing data scientists, data teams, and start-ups more broadly.
[9:56] Jacob talks about the limitations of existing data management tools within biotech companies.
[13:55] Jacob discusses what is needed as a foundation for AI tools to reach their potential.
[17:12] Jacob argues for the need for a unified data ecosystem and the benefits of a modular approach to tooling.
[23:42] Jacob explains that biology has become more engineering-focused and how this allows data to guide drug development.
[26:14] Ross and Jacob discuss the challenges of integrating data science and biotech teams, including cultural clashes and tooling conflicts.
[32:52] Jacob emphasises the importance of consultancies in the biotech space, particularly for start-ups.
[36:21] Ross asks what the new modelling capabilities are that he is most excited about and how they will drive the industry forward.
[38:45] Jacob shares his advice for scientists and entrepreneurs looking to start a biotech venture and recommends resources.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week's guest is Joseph Pearson, Global Product Manager of OmicSoft at QIAGEN, a global provider of sample-to-insight solutions that enable customers to gain valuable molecular insights.
During this episode, we dive into OmicSoft, a powerful NGS analysis suite that can quickly explore and compare 500,000 curated omics samples from disease-related studies. Joseph outlines the challenges of acquiring and analysing NGS data sets, how customers can interact with OmicSoft data, and what he thinks of the build versus buy debate when selecting new bioinformatics tools.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
Chapter Markers:
[01:33] Joseph gives us a brief introduction to his career and how he got to the position that he has today.
[03:39] Ross asks Joseph about QIAGEN and how OmicSoft complements the existing range of products the company already provides.
[05:09] Joseph talks about the work that is going into their NGS datasets and how the company is extracting value from those datasets.
[06:09] Ross asks Joseph about the types of customers that use this solution.
[13:06] Joseph clarifies where the data underlying OmicSoft comes from.
[19:29] Ross asks Joseph how the company approaches educating the customer.
[22:44] Joseph explains the decision-making process that companies go through when deciding to either build or buy.
[27:15] Ross asks Joseph about the biggest challenges or criticisms people have about the platform.
[31:07] Joseph explains how his biology background has shaped his view of the challenges he faces in his role in product management.
[34:11] Joseph tells us where we can find out more about OmicSoft and QIAGEN.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week's guest is Wolfgang Halter, Head of Data Science and Bioinformatics at Merck Life Science, a leading global science and technology company.
Ross sat down with Wolfgang to discuss the work on the BayBE project, an open-source library built for Bayesian optimization. Throughout the episode, we go on to learn how BayBE is used for both experimental design and as a means to accelerate innovation. The pair also discusses the benefits and challenges of Bayesian optimization and the need for standardised data models. Finally, Wolfgang shares some advice for those scientists and engineers who are keen to get ahead in the industry.
You can access the GitHub repo mentioned in the episode by clicking here: github.com/emdgroup/BayBE
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
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Chapter Markers:
[1:32] Wolfgang gives us a whistle-stop tour of his career to date and explains the motivation behind pursuing a career in Data Science.
[2:35] Ross asks Wolfgang about Merckâs mission and the role the data science team is playing in helping the company achieve that mission.
[5:28] Wolfgang explains the work that is going into the BayBE project.
[13:23] Ross asks Wolfgang how Merck arranged their experimental campaigns in BayBE and how they garnered insights during the process.
[17:45] Wolfgang explains why the team developed BayBE as an open-source library.
[19:25] Wolfgang shares some more details on how the data science team at Merck is using BayBE today.
[20:42] Wolfgang shares some examples of the kinds of applications that the team is currently developing.
[21:54] Wolfgang provides us with information about the amount of time that is saved on average as a result of adopting this approach.
[34:38] Ross asks Wolfgang how his engineering background informs his perspective on the problems facing biotech and R&D.
[36:57] Wolfgang gives us his advice for young scientists and engineers who are looking to learn more about biotech.
[38:24] Wolfgang provides us with a list of resources for those who want to find out more about Merck and the BayBE project.
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Download our latest white paper on âUsing Machine Learning to Implement Mid-Manufacture Quality Control in the Biotech Sector.â
Visit this link: https://connect.corrdyn.com/biotech-ml
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This week, weâre delighted to be joined by Annemie Ribbens, VP Science, Evidence and Trials at icometrix, a medical technology manufacturer that offers a portfolio of AI solutions to assist healthcare with various challenges in neurological disorders, such as brain trauma, strokes, dementia, and Alzheimer's disease.
During this episode, Annemie opens up on icometrixâs mission in analyzing and treating neurological disorders, the work that went into developing the data infrastructure and the challenges they face when dealing with such large data sets. Annemie also goes on to discuss how machine learning will influence the application of precision medicine in biotech over the next five years and the goals that the company is looking to achieve in the future.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
Chapter Markers:
[1:14] Annemie provides us with a brief introduction into her background and what led her to pursue a career in this field.
[4:17] Ross asks Annemie about icometrixâs portfolio and what differentiates it from the other tools in the market.
[7:36] Annemie explains how icometrix are helping physicians improve both their understanding and treatment of particular disorders.
[13:31] Annemie dives into the role that the public patient facing app plays and how the data that it gathers feeds the ecosystem.
[22:03] Annemie reveals how their partnerships work.
[28:11] Ross asks Annemie to provide some insights into how icometrix went about developing their data infrastructure.
[31:23] Annemie shares the channels involved when processing and analysing large data sets.
[40:01] Annemie explains the methodology that enables icometrix to know what core areas to focus on.
[43:07] Annemie reveals one of the projects that she is most proud of.
[45:00] Annemie gives us her thoughts on what the future holds for machine learning.
[47:33] Annemie explains where listeners can go to find out more information on icometrix.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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This week, weâre delighted to be joined by Lana Denysyk, Head of RWD Assets at Novo Nordisk.
During this conversation, Lana shares how real-world data is used in biotech, diving into how it can help clinicians understand patient experiences outside clinical trials. Lana also discusses the challenges in acquiring and utilising real-world data, the importance of having a centralised team to manage it, and emerging data types like patient-reported outcomes and health equity data.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
Discussed:
[1:08] Lana talks about her career to date, from public health graduate to head of a real-world data department at Nova Nordisk.
[3:55] Ross and Lana break down exactly what real-world data means and how biotech organisations use it.
[7:03] Lana outlines that RWD is part of a diverse data ecosystem in organizations and why it's crucial to understand which data type best suits specific research questions to avoid silos and maximize data utilization.
[8:40] Lana gives examples of the types of stakeholder groups that have research questions where RWD is helpful.
[11:54] Lana walks through how she thinks about scoping a request for RWD and understanding the limitations and applicability of the data.
[17:36] Ross and Lana discuss the role of RWD professionals in facilitating broader access to data through platforms and tools for non-data scientists.
[19:33] Lana highlights why standardizing real-world data management processes, despite the diversity in data types, is crucial for efficiently integrating new data into an organization and what this process looks like.
[21:31] Lana discusses the role of GDPR and HIPAA and its impact on RWD.
[23:52] Lana discusses real-world data strategy in pharma, highlighting the importance of assessing data adequacy, employee training, and educating all staff on data capabilities and limitations for effective future use.
[29:10] Lana shares her excitement about emerging real-world data sets beyond traditional claims and EMR sources in pharma,
[32:30] Lana lists some resources people can use to stay up-to-date on the application of RWD in biotech.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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This week, weâre delighted to be joined by Cody Schiffer, Associate Director, Machine Learning at SMPA - a biopharmaceutical company focused on delivering therapeutic and scientific breakthroughs in areas of critical patient need,
During this conversation, Cody and Ross discuss the construction, maintenance, and application of a knowledge graphic in biopharma, including how to integrate structured and unstructured data to support tasks like literature searches, competitive intelligence and drug discovery and the challenges in keeping a knowledge graph updated with new, real-time information.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
Discussed:
[1:09] Cody shares his background and career to date.
[2:43] Cody outlines how SMPA leverages data science to support its pipeline of investigational assets in healthcare.
[7:36] Cody explains how his team approaches helping scientists better understand scientific literature.
[12:44] Cody explains how the SMPA knowledge graph was constructed and how it is updated over time.
[18:13] Cody discusses how his team incorporates unstructured data in the knowledge graph.
[23:05] Cody explains how they apply weighting to the information that is gathered and ultimately fed into the knowledge graph.
[28:16] Cody shares the biggest lessons he has learned from building and maintaining the knowledge graph.
[34:48] Cody explains how he and SMPA view the build versus buy question when developing internal tools.
[38:47] Cody shares his thoughts on what the future holds for his team and the tools they are building internally.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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This week, weâre delighted to be joined by Vera Mucaj, Chief Scientific Officer at Datavant, a data logistics company for healthcare.
During the interview, Vera shares how the organization helps companies overcome issues of data fragmentation and availability, which ultimately leads to better decision-making in healthcare, the importance of connecting clinical trial data with real-world data to improve research outcomes and the challenges of semantic interoperability in data sets.
Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
Discussed:
[1:06] Vera introduces herself, explains her role, and explains what drove her to join the scientific field.
[4:00] Vera outlines the challenges that Datavant customers face in the acquisition and sharing of medical data.
[8:49] Vera unpacks the role Datavant plays in enabling healthcare organizations to produce and consume data to answer important scientific questions.
[12:21] Vera addresses the problem of security around data assets and how the company helps producers tackle the risk of the potential de-identification of sensitive patient data.
[15:27] Vera explains the most common use cases of the Datavant platform and the value that can be unlocked by consumers of the platform.
[22:10] Vera outlines Datavant's business model.
[27:06] Vera talks about how Datavant is leveraging AI to generate, analyze and create imputations of data sets.
[31:09] Vera discusses the regulatory and cultural barriers to making data available in healthcare.
[38:53] Vera shares her thoughts on semantic interoperability between data sets.
[44:31] Vera shares the resources that she follows to better understand the work of Datavant.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, weâre delighted to be joined by James Winegar, CEO of CorrDyn, a data-driven technology consultancy that helps some of the largest biotechnology manufacturers in the US make smarter strategic decisions by unlocking the value of their data.
In this conversation, James and Ross discuss the application of machine learning in biotech manufacturing quality control, their work in providing a custom oligo manufacturer with a data analysis system to track whether certain manufacturing events are anomalous or part of regular operations, and how trust issues between internal teams can lead to conflict, misunderstandings, and ultimately failure to deliver ROI.
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CorrDyn is the proud producer of Data in Biotech.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, weâre delighted to be joined by Harry Rickerby, Co-founder of Briefly Bio, a groundbreaking platform he's developing to streamline experimental design in life sciences using large language models (LLMs).
Host Ross Katz speaks with Harry about how LLMs are used to facilitate experiment protocol structuring in the platform, the limitations of LLMs in scientific fields, how we can improve collaboration, consistency, and reproducibility in biotech, and how metadata is generated within the experimental design process while interacting with an LLM.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences.
This week, weâre delighted to be joined by Jesse Johnson, Founder of Merelogic, a consultancy service for biotech startups who want to get their data under control so they can focus on the science.
Host Ross Katz speaks with Jesse about the importance of data in biotech startups, the challenges of bridging the gap between biologists and data scientists, the need for more modular and customizable data tools, and the potential for automation and AI in biotech research.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
This week, we're delighted to be joined by Tommy Tang, Director of Computational Biology at Immunitas Therapeutics - an immuno-oncology therapeutics company advancing multiple programs to the clinic.
Host Ross Katz speaks with Ming âTommyâ Tang about the scalability of the cloud and its impact on improving biotech data, Keeping data in-house vs. big data warehouses (and the messiness of public data), where ML should best play in computational biology and so much more.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
This week, we're delighted to be joined by Miguel Cacho Soblechero, Ph.D., a senior data scientist at Prolaio - a biotech company that integrates clinical research and data science to improve research, access and outcomes for people with heart conditions.
Host Ross Katz speaks with Miguel on the lessons learned transitioning from a Ph.D. into the data science industry of biotechnology, the problems with the current state of data in clinical trials, and the massive opportunity to improve clinical trials with data, AI, machine learning to sift through electronic health records, and how wearable technology is the future for better patient engagement.
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If youâre a biotech company struggling to unlock a data challenge, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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This week, we're delighted to be joined by Michelle Wiest, Director of IVD Biostatistics at Freenome - a high-growth biotech company that creates tools to help prevent, detect, and treat disease.
Host Ross Katz speaks with Michelle on the use of biostatistics in the field of diagnostics, what biases can corrupt diagnostic tests and how to catch them early, the different types of data sets that are being used to develop diagnostic models and how to prepare to present data to regulatory bodies such as the FDA.
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If youâre a biotech company struggling to transform your business with data, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
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This week, we're delighted to be joined by Markus Gershater, Chief Scientific Officer and CoFounder of Synthace - a digital experiment platform built for high-performance life science R&D teams to help them run more powerful experiments and accelerate scientific progress.
Host Ross Katz speaks with Markus on whatâs broken about:
Whatâs broken about how laboratories across the globe run biological experiments at scaleThe opportunity that exists for researchers in striving to achieve experimental design automation processesWhy, as an industry, we must move towards implementing infrastructure that enables multifactorial experiments versus one-factor experimentsAnd the role of AI in making sense of complex systems.---
If youâre a biotech company struggling to transform your business with data, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
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This week weâre excited to be joined by Pradeep Ravindra, Associate Director, Data Analytics, Manufacturing from Lyell Immunopharma.
He shares his story on transitioning from military intelligence to life sciences analytics, the role of data analytics in manufacturing and delivering CAR-T therapies, and how to foster a culture of data-driven decision-making and collaboration within a biotech organization.
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If youâre a biotech company struggling to transform your business with data, CorrDyn can help.
Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.
Visit connect.corrdyn.com/biotech to learn more.
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.
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Welcome to Data in Biotech, a podcast from CorrDyn where we explore how companies leverage data to drive innovation in life sciences.
In each episode, our host Ross Katz, 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 life sciences.
