Ready to Push the Frontiers of MS-Based Spatial Proteomics?
Every week, frontier AI labs announce another leap in what large language models can do. We use these tools every day, and they have fundamentally changed how we work: we prototype faster, explore ideas we would not have tackled a year ago, and automate countless repetitive tasks.
But one thing has not changed: meaningful progress still depends on people who know which questions to ask - and who are curious enough to keep digging.
We are looking for someone who wants to understand what lies beneath a protein-level result: the peptides, spectra, and algorithms that turn raw measurements into biological insight. Someone who asks why an identification was made, why a protein was quantified at a certain level, where the result might fail, and how we can build something better.
If you are excited about combining mass spectrometry, bioinformatics, and AI to push spatial proteomics forward - and don't mind helping us drive up our compute and LLM bills along the way - we would love to hear from you!
The Role
You will join a small, international team in central Copenhagen, analyzing MS-based proteomics data from large patient cohorts and driving spatial proteomics forward on our tileDVP platform. Working at the intersection of mass spectrometry, bioinformatics, and AI, you will turn raw spectra into biological insight - in mission-driven work that translates into real differences in patient care, not just publications.
You Will
Analyze DIA proteomics data from large patient cohorts using tools such as DIA-NN, PEAKS, and Spectronaut
Evaluate and benchmark new proteomics software and methods for production-scale adoption
Investigate non-canonical proteomic signals - sequence variants and de novo peptides - beyond canonical database searches
Apply and adapt deep-learning approaches for MS/MS spectral prediction and de novo peptide sequencing
Contribute to spatial proteomics analyses on our tileDVP platform, connecting molecular findings to tissue biology
Develop scalable, production-ready analysis pipelines in Python
Collaborate with software and wet-lab teams to translate proteomics findings into platform improvements and biological insights
You Have
Education & Experience
Hands-on research experience in MS-based proteomics, particularly DIA, from an MSc, PhD, or equivalent industry experience
Experience working with large-scale datasets and cohort-level analyses
Technical Expertise
Solid grasp of proteomics data-analysis fundamentals: FDR control, q-values, spectral libraries, and quantification strategies
Strong statistical foundation: batch effects, normalization, differential expression, and error-rate control
Strong Python-based analysis and scripting skills
Understanding of the algorithmic principles behind peptide identification: database search, spectral-library matching, and/or de novo sequencing
Familiarity with deep-learning approaches for MS/MS spectral prediction and/or de novo sequencing
Mindset & Skills
Curious and detail-oriented, with a drive to uncover biological insights from complex, high-throughput data
Clear communicator, able to present and visualize findings for technical and nontechnical audiences
Independent in your day-to-day work, while collaborating closely across teams
Well-organized in your code and analysis practices, with version control and reproducibility in mind
Nice to Have
Experience with spatial proteomics or other spatial omics technologies
Breadth across proteomics software ecosystems (e.g., DIA-NN, MaxQuant, Spectronaut, FragPipe, PEAKS) or application areas such as plasma proteomics, spike-in experiments, structural proteomics, or proteoform-level/top-down approaches
Experience adapting, extending, or building custom scoring or ML-based approaches for peptide identification
Experience using AI tools or agentic workflows, such as LLM-based coding assistants, to accelerate scientific analysis
Interested?
The role is on-site at our office in central Copenhagen. Please send your resume and a short cover letter to jobs@resolute.bio, with "ResBioInf26" in the subject line - applications without the correct subject line will be filtered out. Feel free to include your salary expectations and any relevant portfolio links, such as GitHub repositories.
As a company, we care about your potential, not your background. If this role excites you, do not hesitate to apply. We review applications as they come in and look forward to hearing from you!
Want to learn more about us first? Visit resolute.bio to see what we are building.