Robin Schmid

Data Scientist

https://talent.gravityer.com/robin-schmid

mzio Co-Founder, @mzmine admin, Computational Mass Spectrometry, Food Chemistry/Analytical Chemistry

mzio GmbH

Key Strengths

Demonstrated experience with Python and Jupyter Notebook for data analysis and scientific computing, highly relevant for a Data Scientist role.
Extensive project portfolio in mass spectrometry data processing and analysis, indicating specialized domain knowledge.
Experience with Java, C++, JavaScript, and R suggests a broad technical foundation beyond core data science tools.
Involvement in projects like 'MassQueryLanguage' and 'GNPS_LCMSDashboard' shows practical application of data science principles to build tools and interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and highly specialized in mass spectrometry, indicating a strong passion for a specific scientific domain. This specialization could be a strong cultural fit for organizations focused on scientific data analysis or bioinformatics. The diversity of technologies used across projects (Python, Java, R, JavaScript, Shell) suggests adaptability and a willingness to explore different tools.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

awesome-mass-spectral-libraries

May 6, 2024 – September 18, 2025

awesome-mass-spectral-libraries — GitHub repository

View Project

annotation_validation

May 5, 2023 – October 31, 2023

Validation of small molecule annotations

View Project

msn_tree_library

August 5, 2022 – August 28, 2025

msn_tree_library — GitHub repository

View Project

microbe_masst

May 16, 2022 – Present

Using MASST or fastMASST, adding metadata onto a tree ontology for microbes

View Project

mzmine_documentation

October 7, 2021 – Present

mzmine_documentation

View Project

MassQueryLanguage_Documentation

July 6, 2021 – October 23, 2024

MassQueryLanguage_Documentation — GitHub repository

View Project

MassQueryLanguage

May 3, 2021 – Present

The Mass Spec Query Language (MassQL) is a domain specific language meant to be a succinct way to express a query in a mass spectrometry centric fashion.

View Project

GNPS_LCMSDashboard

May 23, 2020 – Present

Web based viewer for Mass Spec data

View Project

mzmine

November 20, 2019 – Present

mzmine source code repository

View Project

mzmine2

March 24, 2015 – May 5, 2024

MZmine 2 source code repository

View Project

Key Strengths

Demonstrated experience with Python and Jupyter Notebook for data analysis and scientific computing, highly relevant for a Data Scientist role.
Extensive project portfolio in mass spectrometry data processing and analysis, indicating specialized domain knowledge.
Experience with Java, C++, JavaScript, and R suggests a broad technical foundation beyond core data science tools.
Involvement in projects like 'MassQueryLanguage' and 'GNPS_LCMSDashboard' shows practical application of data science principles to build tools and interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available.

Robin Schmid

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit