Required qualifications

• Bachelor’s, preferably Master’s or PhD degree in Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
• At least 2 years of experience in computer vision or a related field.
• Demonstrated experience with Python-based image analysis and computer vision algorithms.
• Strong analytical and problem-solving skills.
• Good communication skills, both written and verbal.
• Ability to work collaboratively in a multidisciplinary team.
• Attention to detail and a commitment to producing high-quality work.

Required Technical Skills

• Proficiency in Python programming language.
• Strong understanding of computer vision concepts, including image processing, segmentation, and feature extraction.
• OR Demonstrated experience processing xCR data.
• OR Experience processing RNA sequencing data.
• Experience with libraries such as OpenCV, scikit-image, and PyTorch. (PyTorch is a main framework used by division).
• Familiarity with image analysis techniques used in biological and medical research.
• Knowledge of machine learning algorithms and their application to data.
• Ability to handle large datasets and perform statistical analysis.
• Proficiency in using data visualization tools such as Matplotlib, Seaborn, or similar.
• Understanding of LLM principles of work and experience in LLM integration with API OR Understanding of stable diffusion principles of work.
• Experience with multimodal models.

What we offer

• Relocation support.
• Comfortable office in the center of Yerevan, next to "Druzhba" metro station.
• Health insurance (comprehensive coverage including medical, dental, and vision plans).
• Flexible / hybrid work options (hybrid format, flexible hours).
• Professional development (support for trainings, workshops, conferences, and further education).
• Business trips (opportunities to build partnerships, attend conferences, and support the company's global presence).
• Staff referral program (bonuses for referring suitable candidates).
• Meals (free or subsidized meals, snacks, and beverages at the workplace).