Middle Python Data Engineer
Digital Pipl
About the ClientOur client is a platform-driven, clinical-stage biotechnology company that is mapping human longevity to change the nature of aging and extend healthy lifespan. Our growing portfolio of therapeutics for immune, muscle, and brain aging includes four drug programs, two first-in-class and two first-in-indication. Our vision is “growing older without aging” – a future in which aging allows us to pursue our goals, accumulate new experiences and accomplishments, and actively contribute to society without disease, physical disability, or loss of independence and connection. A leading company in the emerging longevity biotech sector, client has raised $127M from Andreessen Horowitz, Kaiser Foundation Hospitals, and others.Project detailsThis role is pivotal in setting the standards, protocols, and best practices for our data architecture and infrastructure, ensuring that all systems are efficient, traceable, scalable, and maintainable. Embedded within the Data Science team, you will collaborate with engineers, data scientists, and domain experts to establish and maintain cutting-edge systems that drive the company’s mission of leveraging omics, drug, target, and pathway data for biological discovery and therapeutic innovation. This is a high-impact role where you will not only build and optimize technical solutions but also set the foundation for long-term success by defining and implementing best practices for data infrastructure across the organization.Your TeamWe are looking for 2 specialists: Data Governance Specialist and Data Python Engineer.What’s in it for you
ResponsibilitiesInfrastructure Development & Standards
Proactively identify opportunities to optimize and future-proof infrastructure for evolving data needs.Data Architecture & Pipelines
Collaboration & Leadership
SkillsEducation
Experience
Technical Expertise
Skills
Preferred
Warszawa, mazowieckie
Mon, 20 Jan 2025 23:07:20 GMT
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