AI Engineering Manager

thermofisher

Uppsala, SwedenFull-time2026-10-08 → 2026-11-10

Core

Lead a team of data scientists and DevOps engineers to develop advanced AI/ML analysis tools for proteomics data.

Role type

Manager, AI & Advanced Analytics

Builds

Advanced analysis tools and complex analysis pipelines for proteomics discoveries

Domain

Proteomics / Bioinformatics / AI/ML

Deliverable

production ML models

Required skills

Python, C#/C++, statistical data analysis, AI/ML pipeline management, cloud platforms (AWS/Azure/GCP), agile methodologies, team leadership, Jira, GitHub

Preferred skills

Proteomics domain knowledge, agentic AI frameworks experience

Technologies

Python, C#, C++, AWS, Azure, Google Cloud, Jira, GitHub

Responsibilities

Define and build advanced analysis tools for future proteomics discoveries; Collaborate with software and data engineering teams to produce complex analysis pipelines; Coach, lead, and develop team members; Ensure delivery of high-quality technical solutions using agile ways of working

Seniority

Manager, hands-on leadership

About thermofisher

Here at Thermo Fisher Scientific, our industry-leading scale means unparalleled commercial reach, unique customer access and a global footprint. Our broad customer base, from research, clinical to commercial production means you can have a broad and significant impact. All while working in an environment where you will be supported, valued and rewarded for your performance. Join our Sales & Marketing team with an unmatched depth of capabilities and help our customers solve some of the world’s toughest challenges.