Position: Statistics & Machine Learning Algorithm Developer

Location: Nicosia, Cyprus (on site)

About NovaMechanics

NovaMechanics (www.novamechanics.com) is a leader in innovation, specializing in health, materials and advanced materials, chemoinformatics, bioinformatics, nanoinformatics, databases, ontologies, and machine learning/artificial intelligence (ML/AI). We develop state-of-the-art platforms such as the Enalos Cloud Platform and the Isalos Analytics Platform , supporting cutting-edge research in healthcare, materials science, and chemical discovery. NovaMechanics actively participates in over 40 EU and National research projects , collaborating with leading academic, industrial, and policy stakeholders across Europe.

NovaMechanics is looking for a full-time developer to support the implementation, validation, and quality assurance (QA) of statistical, machine-learning, and mathematical modeling algorithms for the Isalos Analytics Platform, our data analytics software solution.

What you'll do

• Develop and implement analytics algorithms, including: inferential statistics, Generalized Linear Models (GLM), survival analysis, and non-parametric statistical tests

• Implement predictive modeling and ML workflows: training, validation, model performance evaluation, robust metrics, and correct interpretation of outputs (using Isalos Analytics Platform)

• Develop and implement advanced optimization and automation capabilities, including: Bayesian optimization, variable selection / feature selection, and AutoML workflows

• Support mathematical modeling components, including differential equations (ODE/PDE-based modeling and numerical approaches)

• Build automated data-quality and assumption checks, including: normality testing, homoscedasticity checks, and variance diagnostics

• Perform QA and validation across all implemented methods: automated testing and regression testing, verification against trusted benchmarks/references, and ensuring reliability, reproducibility, and correct interpretation of outputs

• Document methods clearly to support correct usage by end-users

Requirements

• Degree in Mathematics / Applied Mathematics (or a closely related field) — BSc, MSc, or PhD welcome

• Strong analytical thinking and willingness to learn

• Ability to work in a structured, quality-driven software development environment

• No prior industrial experience required

Why Join NovaMechanics

• Work on cutting-edge scientific and technological challenges with real-world impact.
• Competitive salary
• Inclusive, international, and dynamic working environment.
• Opportunities to collaborate with leading researchers, industrial partners, and institutions worldwide .

Application Process

Please submit your CV and cover letter to hratovamechanicsdotom by 23/05/2026 .

Include “ Statistics & Machine Learning Algorithm Developer ” in the subject line.

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