Applied ML Scientist, Digital Biomarker

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Arcanys

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

📦 Logistics

📣 Marketing

💼 Consulting

Logistics • Marketing • Consulting

Arcanys is a Swiss software development outsourcing firm headquartered in the Philippines that builds and matures dedicated teams of developers for startups and established companies. Founded in 2010, the company supplies project-ready tech experts across software development, cloud/DevOps, and IT support with flexible engagement models, emphasizing continuity, employee well-being, and skills development.

📋 Description

• Develop and implement statistical and machine learning models on behavioral and response-time data from in-app tasks • Engineer features from high-frequency behavioral data and identify informative signals through statistical analysis • Benchmark regularized statistical models and gradient-boosted trees including XGBoost and LightGBM • Design and run cross-validation, calibration, explainability, feature-importance, and ablation analyses • Build and maintain reproducible training pipelines, experiment tracking, and model versioning using MLOps practices • Deploy models as scalable APIs and collaborate with backend engineers on production integration and low-latency, on-device inference • Monitor model performance, data quality, and model drift and continuously improve production models • Help define machine learning architecture, engineering standards, and technical roadmap • Collaborate with product, engineering, and clinical stakeholders to translate real-world problems into practical ML solutions • Keep the modeling pipeline extensible to wearables, pupillometry, and EEG modalities

🎯 Requirements

• Background in statistics, data science, machine learning, computational neuroscience, biomedical engineering, applied mathematics, or a related quantitative discipline • Around 3–6+ years developing and deploying ML solutions, ideally on behavioral, sensor, or physiological-signal data • Strong understanding of applied statistics, feature engineering, supervised learning, model evaluation, and explainability • Fluent in Python and the scientific Python ecosystem, including Pandas or Polars, NumPy, and scikit-learn • Experience building production-quality software with Git, Docker, REST APIs (FastAPI or similar), and CI/CD workflows • Track record of models that generalize, with disciplined validation and overfitting control • Pragmatic, product-oriented mindset focused on maintainable, production-ready solutions • Comfortable working with health data and privacy requirements under GDPR • Experience with digital biomarkers or digital therapeutics is advantageous • Experience with MLOps tools such as MLflow, Dagster, Airflow, or similar is advantageous • Experience deploying models on AWS, OpenStack, Kubernetes, or Docker is advantageous • Experience optimizing models for mobile or edge-device inference is advantageous

🏖️ Benefits

• Top compensation based on expertise • Long-term work from home • Allowances • Reimbursable allowance of up to 15K for home office setup • Standard 5 day work week from Monday to Friday • Flexible working schedule • Flat management style and open-door policy • Work with the latest technologies • Chance to earn more through the self-training program • HMO enrollment for a maximum of 3 immediate dependents on the 1st day • Incentive-based wellness program • Toastmasters, English classes, and other learning opportunities • Free consultations with Arcanys registered nutritionist-dietitians • Free access to Arcanys CrossFit gym or company-sponsored membership in a different gym