Deep Origin · 4 days ago

Senior Product Manager / SME - Lab Software and Data Expert

United States

Full-time

Remote

Senior Level, Lead/Staff

Maximize your interview chances

AnalyticsBiotechnology

Insider Connection @Deep Origin

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product ManagementELN/LIMS ExperienceLab Software InfrastructureScientific Lab WorkflowsData IntegrationLab AutomationProtocol StandardizationMarket AnalysisBioinformaticsStatistical AnalysisUnderstanding OntologiesData Extraction from LIMS

Required

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