Your tasks As a member of the Biostatistics Department, the individual participates in the data analysis and biostatistics within the scope of developing in vitro diagnostic tests (IVD) based on metabolomics data using statistical and machine learning approaches. These tests can be used for the early detection of diseases and therapy monitoring. Key Responsibilities Statistical and machine learning support in development of IVD tests Generation and evaluation of classification or regression models based on metabolomics data (predictive modeling) Participation in design of clinical studies (e.g., sample size determination, CRF design) and planning (statistical analysis plan) Diligent documentation and presentation of analysis results Development of in-house data analysis tools Statistical support for various departments Participation in preparing results within the scope of talks or publications Requirements Master’s degree in (bio-)statistics, bioinformatics, mathematics, or other related fields Theoretical and practical expertise in statistics (descriptive, exploratory, and inferential statistics) First practical expertise in machine learning (e.g., advanced regression models, tree-based models, supervised learning techniques, feature selection, feature engineering, model evaluation) Preferred: Experience in one of the following areas: diagnostics, epidemiology, semi-supervised learning, explainable AI, scikit learn toolbox, auto-encoders, convolutional neural networks, analysis of metabolomics data, MLOps Proficiency using R or Python (preferably both), proficiency in LaTeX, Markdown, or Shiny/plotly is a plus Ability to work within a team and work independently Interest in all parts of the product development cycle (data preparation, modeling, validation, implementation, publication, maintenance) What we offer We are proud to be a technology leader in Metabolomics-based diagnostic test development addressing important clinical needs Work with demanding statistical and machine learning approaches Exciting challenges associated with the participation in the product development and steady expansion of our test portfolio (e.g. cardiovascular diseases, oncology and nephrology) Small, young, dedicated, and interdisciplinary team Vivid interaction with other departments in diverse projects Short decision-making processes Work in one of Germany’s most beautiful historic city 30 days annual leave Flexible working-time model (up to 50% remote), Job-Ticket Germany, free beverages and fruits, team and company events Desired salaryPlease submit your application (CV, cover letter and relevant certificates) in English or in German, stating your earliest possible starting date and salary expectation, to Ms. Eva Kolb. About usnumares develops and markets innovative diagnostic tests based on NMR metabolomics. Essentially, our tests consist of metabolite constellations that are characteristic of certain diseases. To find these, we apply machine learning to clinical study cohorts measured with our AXINON® NMR system. We have a successful commercial base especially in laboratories in the USA.
Biostatistician/Data Scientist – Machine Learning (m/f/d) (Data Scientist)