Database analyst

Who we are

VECTOR-labs.AI is an AI and Data Science consulting company built on a rich technological and scientific experience. We combine expertise in data analysis with deep knowledge in software development to build comprehensive and intelligent solutions for high-responsibility industries — including healthcare, pharmaceuticals and biotechnology.

What is unique about our company is that part of the shares are held by the Podari Vreme Foundation, a fact that few of our clients know, but all of our colleagues appreciate – we don’t just work, we work for the cause of 500 children.

What are we looking for?

We are looking for an analyst with extensive experience in areas such as data processing, machine learning and health informatics. Strong analytical skills, knowledge of modern analysis and modeling tools, as well as a passion for innovation in healthcare are important.

Main responsibilities:

• Analysis and interpretation of big health and medical data
• Development of models for early diagnosis and disease prediction
• Building and maintaining databases and analytical infrastructures
• Participation in machine learning and AI projects focused on healthcare
• Interaction with research and software development teams

The suitable candidate has:

• Deep experience in data analysis and machine learning
• Knowledge of healthcare and medical data
• Skills in Python, R, PyTorch, PySpark, Java and cloud platforms such as AWS
• Academic background in fields such as physics, computer science, data science or related
• Experience in developing models for classification, early diagnosis and prediction
• Excellent communication skills and ability to work in a team

Advantages:

• Working on healthcare projects related to cardiology, gastroenterology and other fields
• Publications and participation in international conferences
• Experience in working with big data and cloud technologies

What we offer:

• Working on meaningful and large-scale projects with social significance
• A great team of colleagues working for a great cause
• Opportunity for scientific and professional realization at an international level
• Access to scientific resources, conferences and trainings
• Additional health insurance