AI DNN Applied Researcher

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🕒 March 18

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GENAIZ

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

💊 Pharmaceuticals

🧬 Biotechnology

🤖 Artificial Intelligence

💰 Seed on 2018-02

Pharmaceuticals • Biotechnology • Artificial Intelligence

<GENAIZ> is an AI-driven intelligent automation platform for life sciences and healthcare organizations that harmonizes diverse data sources and connects systems to accelerate product development, regulatory review, and compliance workflows. Its GxP-compliant, enterprise-grade solutions—offered as single-tenant cloud or on-premises deployments—include plug-and-play tools like RiskRelief. AI, ConformityCheck. AI, FileSub. AI, DueDil. AI, and LitReview. AI to automate data cleaning, anomaly detection, due diligence, and literature review at scale. GENAIZ focuses on secure data ownership, ethics, and high-throughput processing to help pharmaceutical and biotech teams make faster, more reliable decisions.

📋 Description

• Generate knowledge and create technologies by owning research projects: plan, propose, execute, and analyze results • Independently and proactively carry out each stage of your research with minimal supervision • Clearly communicate your research and results through appropriate documentation to diverse audiences (technical and non-technical) • Be a strong team player by actively participating in peer reviews, sharing ideas, and helping colleagues achieve their goals • Work closely with development teams to push research technology into production

🎯 Requirements

• Master’s degree or PhD • More than 5 years of industry experience on multidisciplinary research projects in scientific or engineering disciplines • Theoretical and empirical research experience in machine learning and AI • Ability to conduct research and analyze results • Experience working with business/product team requirements • Experience implementing and evaluating machine learning models that meet predefined metrics and product requirements • Experience applying deep neural networks to images • Ability to improve existing code and refine models • Experience creating and using datasets, preferably large-scale • Experience manipulating and analyzing data from multiple sources • Ability to write clean, reusable, production-ready code • Experience working with modern deep learning architectures such as Transformers • Familiarity with Python and deep learning frameworks such as Caffe, Keras, TensorFlow, PyTorch, NumPy and scikit-learn • Excellent verbal, written, and interpersonal communication skills

🏖️ Benefits

• Permanent full-time position • Competitive base salary + bonus • Comprehensive insurance coverage • Dynamic company culture with opportunities for career growth • Flexible working hours