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 hr@novamechanics.com by 23/05/2026.

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

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