Senior Product Manager - Lab Software and Data Expert

2 hours ago

Apply Now

Receive Emails with Similar Jobs

Deep Origin

WebsiteLinkedInAll Job Openings

Bioinformatics • Biosimulation • Cloud computing • Data analysis • Data management

11 - 50

Description

• Led by Michael Antonov, a co-founder of Oculus, and well-funded by Formic Ventures, Deep Origin is poised to reinvent the way scientists work and life science innovations come to life. • We envision a future largely free of diseases, where a 150-year lifespan becomes the norm. • To achieve this, we are building an operating system for science, empowering scientists to be more productive and to bring tomorrow's ideas to life quickly and effectively. • The Product Manager / SME will lead our effort to develop and bring to market The DataHub, a pluginable data warehouse product designed for life sciences, with some ELN/LIMS capabilities. • This product needs to be able to provide ways to capture, store and organize scientific data and support analysis. • This may integrate with 3rd party software. • The purpose of this role is to • Guide direction of DataHub development by identifying key unaddressed opportunities in the market at intersection of wet lab data, analysis and AI • Guide decisions on key capabilities / product functionality we may need to develop for customer segments. • Work closely with engineering to develop the product • Work with cross-functional teams to bring the product to market

Requirements

• Experience working in a product management or solution engineering role at an ELM/LIMS vendor or experience with building and managing a lab software infrastructure for a sizable (50+ people) biotech or Pharma, including selecting ELN/LIMSs, building data integration. • Experience and/or understanding of schemas for ELN/Lims data to reference different ontologies, biological entities etc • Has deep knowledge of scientific lab workflows, i.e. how wet lab protocols are typically stored, managed and performed; where their results are stored and tracked; how are reagents and supplies tracked; how the resulting data is recorded, utilized for later computational analyst and reporting • Has understanding of what kind of data needs to be extracted from LIMS for what kind of analysis • Has experience with lab automation, including automated data capture and processing from instruments • Has standardized and scaled protocols, that include wet lab and computational components, from research to reproducible/production • A good understanding of industry players, their capabilities and competitive advantages and weaknesses • A strong understanding of market needs and a vision for a solution. • Preferably has written code/oversaw systems that extract data from LIMS/LabData systems and used it for bioinformatics or other statistical analysis