Jobs at ValGenesis

The Product Manager will define and drive AI-powered statistics for life sciences, collaborate across teams, engage with customers, and support market differentiation strategies.

Execute functional and integration testing for an enterprise validation platform used in pharma/biotech. Create and maintain test repositories and traceability matrices, map data flows, run QA and automated tests (Web/Mobile), support CI/CD, and ensure quality, reliability and regulatory compliance (GxP/21 CFR Part 11).

The Application Engineer will provide technical support, resolve complex software issues, analyze trends, and collaborate with cross-functional teams to enhance system performance in the life sciences sector.

Hands-on technical lead for a scrum team designing and building cloud-native enterprise features using C#/.NET Core, React, Azure services, microservices and containerization. Owns architecture, code reviews, quality, performance, security and end-to-end delivery (testing, deployment). Coaches engineers, collaborates with product and senior management, and drives sustaining and performance improvements.

Design, develop and maintain data ingestion and transformation pipelines, optimize data architectures, manage data sources, and collaborate with teams on data analytics and ML datasets.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

Lead the design and development of data pipelines and architectures, ensuring data quality and governance while mentoring junior engineers.

Lead the design and development of enterprise mobile applications, ensuring scalable architectures and technical leadership for mobile platforms, collaborating with stakeholders, and optimizing performance across iOS and Android.

The Senior Test Engineer is responsible for planning and executing computer system verification, conducting QA tests, and leading junior members within Agile teams.

The Lead Test Engineer will ensure all digital products for pharmaceutical clients meet quality standards by developing expertise, planning verification activities, and executing tests while collaborating with Agile teams.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.

The Senior Software Engineer in R&D will design, develop, and test software solutions, conduct technology research, and create prototypes to meet project needs.

Lead product engineering teams in developing high-quality enterprise products, ensuring architectural design, code quality, and performance engineering.

Design, architect, and develop enterprise cloud product features across the full development lifecycle. Build services using Azure, C#/.NET Core and ReactJS, apply DevSecOps, ensure quality, performance, security, and sustainment, and participate in architecture/code reviews and team collaboration.

Join Agile development teams to plan and execute computer system verification for life‑sciences software. Create test plans, cases, and bug reports; map data flows for robust functional testing; conduct QA within timelines; mentor junior test engineers; use Jira/ADO and test management tools; support automation frameworks like Robot and Selenium.

The Test Engineer will validate software products for life sciences, create test plans, conduct QA tests, and ensure software quality in a collaborative Agile environment.

Support and maintain quality management processes and computerized systems validation for a life‑sciences digital validation platform. Manage change controls, deviations, audits (internal and vendor), document review/approval, training, and information security compliance per ISO, GxP, and 21 CFR Part 11 requirements.

Lead architecture, design, development, quality, and performance engineering for enterprise cloud-native products. Provide technical and strategic leadership, own product lifecycle, enforce standards, build microservices/micro-frontend solutions on Azure, and mentor engineering teams while ensuring scalability, reliability, and automation (including AI-enabled DevSecOps).

Design, develop and maintain data pipelines, optimize data architectures, and collaborate with data scientists while ensuring data quality and governance.

Develop enterprise software products by designing and building applications using Azure and .NET technologies, ensuring quality and performance throughout the development lifecycle.