6 publicaciones de empleo destacadas de data scientist en loreto cdmx (¡Están contratando!)

Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
5d
Data Scientist Specialist
RED AMIGO DAL S.A.P.I. of C.V. S.O.F.O.M. E.N.R —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Análisis de datos
- Licenciatura
- Ingeniería eléctrica
Postulación rápida
7h
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
1h
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
3h

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Senior Full Stack Engineer – Lab Connect

Dotmatics -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Microsoft Excel
Node.js
Ingeniería de software
React
Kubernetes
Bases de datos relacionales
Inglés
Experiencia en bases de datos
Docker
JavaScript
PostgreSQL
Capacitación
Linux
Kafka
Programación en parejas

Descripción completa del empleo

Our Why At Dotmatics

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

Dotmatics is seeking a Senior Full Stack Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence – it fits the way our customers "do science," letting them streamline research with adaptive R&D workflows driven by AI and seamless data integration.

As a Senior Full Stack Engineer within our Lab Connect team, you'll build software that connects laboratory environments, applications and scientific workflows. This is a hands-on engineering role focused on desktop and connected systems, where reliability, process orchestration and asynchronous communication are critical.

You'll work across Node.js and React, building applications that operate across Windows, Linux and macOS, while solving complex problems around inter-process communication, parallelisation, process orchestration and streams processing. You'll help build the software that enables scientists to connect their laboratory environments and instruments with modern R&D workflows.

We're looking for engineers who are comfortable working close to the operating system and understand the challenges of building reliable software across multiple environments. Experience with industrial, laboratory, instrumentation, automation or other connected-device environments is particularly valuable.

This is no ordinary engineering role. This is a product with real-world meaning, helping scientists work more effectively and enabling the research that brings new medicines and discoveries to life.

In this role you will:

Lead development of complex, high-impact features for desktop and connected laboratory applications
Design and build software that operates reliably across Windows, Linux and macOS
Develop asynchronous, non-blocking services and applications using Node.js
Design solutions involving inter-process communication, parallelisation and process orchestration
Build and maintain streams-based processing and data flows for high-volume or continuously generated data
Develop React-based frontend experiences that provide intuitive interfaces for complex scientific workflows
Work with engineers across the platform to integrate desktop applications with backend services and distributed systems
Investigate and resolve complex issues involving processes, concurrency, performance and communication between components
Write clean, maintainable and well-tested code, proactively identifying technical debt and opportunities for architectural improvement
Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning
Support the reliability of our applications by contributing to deployment, monitoring and production support

We are looking for candidates with:

Strong fluency in English – written and spoken
8+ years of professional software engineering experience
Strong experience building desktop applications or software that interacts closely with the operating system
Commercial experience developing across multiple operating systems, particularly Windows, Linux and/or macOS
A strong understanding of asynchronous programming, concurrency and inter-process communication
Experience with process orchestration and parallelisation
You're curious and inquisitive – someone who questions the why and the how and enjoys solving complex technical problems

The key skills:

Strong commercial experience with Node.js
Strong experience with React and modern frontend development
Experience building desktop or cross-platform applications
Experience working across Windows, Linux and macOS
Strong understanding of streams processing and asynchronous programming
Experience with inter-process communication and process orchestration
Experience designing systems involving parallel processing and concurrent workloads
Solid experience designing, building and consuming RESTful APIs
Experience working with distributed systems and service-based architectures
Experience with relational databases such as PostgreSQL
Experience with Docker and/or other approaches to application packaging and deployment
A strong advocate for automated testing (unit, integration, E2E) and CI/CD

You may also have experience in:

Industrial IoT (IIoT), laboratory automation, scientific instrumentation or connected-device environments
Building software that communicates with or controls physical devices, instruments or equipment
Developing applications that run reliably in industrial, laboratory or other high-integrity environments
Device communication protocols, hardware interfaces or machine-to-machine communication
Building and scaling complex data ingestion or processing workflows
Event-driven architectures and messaging technologies such as Kafka
AWS or other cloud platforms
Kubernetes and containerisation
Terraform or similar infrastructure-as-code technologies
Working with applications that need to operate reliably in environments with intermittent connectivity or constrained resources
Leading small project teams or acting as a feature lead, including mentoring engineers and running code reviews
Background in Life Sciences, R&D or scientific data management

Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.

By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

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