Senior ML / AI Engineer

Are you passionate about artificial intelligence and eager to contribute to cutting-edge research in biotechnology and pharmaceutical innovation? Join us in shaping the future of medicine through data and AI.

About Us:

We are an innovative life science company leveraging machine learning and AI to accelerate drug discovery, diagnostics and personalized medicine. In collaboration with biotech companies and pharma companies we tackle some of the most complex challenges in healthcare.

Your Role:

We are seeking a highly experienced and innovative Senior Machine Learning / AI Engineer to lead the development of cutting-edge AI solutions in the Life Sciences and Clinical Trial domain.

This is a foundational role—you will help shape our AI strategy and infrastructure from the ground up, working closely with cross-functional teams including data scientists, clinical researchers, and software engineers.

You will be instrumental in designing, developing, and deploying ML models that accelerate drug development, optimize trial designs, and improve outcomes in biomedical research.

Key Responsibilities:

• Lead the design and implementation of machine learning and AI models for applications such as clinical trial prediction, patient stratification, biomarker discovery, and natural language processing (NLP) of medical data.
• Collaborate with interdisciplinary teams in clinical operations, datasciences, QA, and regulatory teams to translate complex domain problems into AI-driven solutions.
• Build and maintain robust data pipelines and ML infrastructure, ensuring scalability, security, and reproducibility.
• Apply advanced techniques including deep learning, time-series analysis, federated learning, and generative AI to life sciences datasets (e.g., EHRs, genomic data, real-world evidence).
• Evaluate and select tools, frameworks, and architectures appropriate for healthcare and regulated environments.
• Contribute to regulatory-compliant model development and documentation, ensuring transparency and traceability of AI/ML outputs.
• Mentor junior team members and support the development of internal AI/ML capabilities.

Qualifications & Requirements:

• Bachelor’s, Master’s in Computer Science, Data Science, Biomedical Engineering, Bioinformatics, or a related field.
• 3+ years of professional experience in machine learning or AI, with a strong track record in applied research and/or production deployment.
• Experience working with life sciences, healthcare, or clinical trial data (e.g., CDISC, EDC systems, medical imaging, genomics, lab data) is a plus.
• Expertise in Python and key ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost).
• Strong understanding of model evaluation, validation, and bias detection in clinical applications.
• Experience with cloud platforms (AWS, GCP, or Azure), MLOps, and containerization tools (Docker, Kubernetes).
• Familiarity with data privacy, HIPAA, GDPR, and GxP compliance requirements.
• Strong communication and leadership skills; comfortable in a start-up or innovation-driven environment.