AI & Analytics Engineering Manager

Description

The company studies human disease through proteomics. Its panels measure thousands of proteins at once from just a few microliters of blood, using highly specific, validated assays with a wide dynamic range.

This role leads the AI and Advanced Analytics team, which builds AI and machine learning tools for proteomics data. The team works with software development, data engineering and R&D to turn the company's AI strategy into digital products for its next generation of products.

Work schedule: standard Monday to Friday. Environment: office.

Responsibilities

• Lead a multidisciplinary team of data scientists and DevOps engineers as they build advanced AI and machine learning tools for proteomics data.
• Set the team's direction and help define and build analysis tools that support future proteomics discoveries.
• Work with software development and data engineering teams to deliver analysis pipelines, from cloud infrastructure to results.
• Coach team members, support their growth and help each person build a career.
• Run performance reviews and salary discussions for your team.
• Make sure the team delivers high-quality technical work using agile practices, methods and tools.
• Track developments in AI and machine learning and bring in relevant new tools and approaches.

Requirements

• A PhD or master's degree in computer science, physics, mathematics, biotechnology or a related engineering field.
• At least 5 years of relevant industry experience, including proficiency in Python, C or C++, and statistical data analysis.
• At least 3 years in a leadership role such as Manager, Product Owner or Project Manager.
• Experience with purpose-built environments for AI and ML analysis pipelines.
• Familiarity with machine learning libraries and models, cloud platforms such as AWS, Azure or Google Cloud, and agentic AI frameworks.
• A strong grasp of data quality and what AI and ML-based analysis requires.
• The ability to work effectively with external technology stakeholders.
• Experience using Jira and GitHub.
• A values-driven mindset with a commitment to efficiency and continuous improvement in development and delivery.
• Advantage, not required: experience in proteomics.

Conditions

Standard schedule, Monday to Friday.

Office-based role.

The role may be filled before the posting closes.

Benefits

• The team values integrity, innovation and involvement, and welcomes varied experiences and perspectives so people can grow in their careers.