Data Scientist (Healthcare/AI)

About Us:

Saventic Health is a mission-driven health-tech startup based in Warsaw, dedicated to transforming the diagnosis of rare diseases using cutting-edge Artificial Intelligence. We are developing innovative solutions that have the potential to significantly shorten diagnostic timelines and improve patient outcomes. As a startup, we thrive on innovation, agility, and a collaborative spirit where every team member makes a tangible impact. We work with complex medical data, requiring sophisticated approaches to extract meaningful insights.

The Opportunity:

We are looking for a motivated and skilled Data Scientist to join our team and contribute to the development of AI-powered diagnostic tools. This is an excellent opportunity to grow your career by applying your data science skills to challenging and meaningful problems in the healthcare domain.

As a Data Scientist on our team, you will work alongside senior scientists and engineers to analyze complex medical data, develop and implement machine learning models, and contribute to the core algorithms that power our platform. You will be involved in various stages of the model development lifecycle, from data exploration and preprocessing to model training, evaluation, and supporting deployment efforts.

Your Impact:

As a key member of our data science team, you will:

1. Contribute to Better Diagnoses: Play an active role in developing and refining machine learning models that aid in the faster and more accurate diagnosis of rare diseases.
2. Help Uncover Insights: Analyze diverse datasets to identify patterns and generate insights that inform model development and product strategy.
3. Apply ML Techniques: Implement and experiment with various machine learning algorithms to solve specific clinical and business problems.
4. Support Innovation: Contribute to the team's efforts in exploring and utilizing effective data science methodologies.

Key Responsibilities:

1. Analyze complex medical datasets, including structured and potentially unstructured data, to identify trends and patterns.
2. Develop, train, evaluate, and implement machine learning models using appropriate algorithms and techniques.
3. Perform exploratory data analysis (EDA), feature engineering, and data preprocessing, often in collaboration with Data Engineers and senior team members.
4. Validate model performance using robust metrics and methodologies.
5. Communicate findings, results, and insights clearly to technical team members and potentially other stakeholders.
6. Stay current with relevant advancements in Machine Learning and data science practices.
7. Collaborate effectively within a team environment, working with Data Engineers, MLOps Engineers, other Data Scientists, and domain experts.
8. Contribute to the documentation of models, experiments, and processes.

Who You Are:

1. Experienced Data Scientist: Proven practical experience working as a Data Scientist with demonstrated ability to contribute effectively to projects.
2. ML Fundamentals: Solid understanding and hands-on experience with core Machine Learning algorithms and concepts (e.g., regression, classification, clustering, feature selection, validation).
3. Python Proficient: Proficiency in Python is required, along with practical experience using essential data science libraries (e.g., Pandas, NumPy, Scikit-learn).
4. Data Handling Skills: Experience working with real-world datasets, including cleaning, preprocessing, and feature engineering.
5. Analytical Mindset: Good analytical and problem-solving skills with attention to detail.
6. Clear Communicator: Ability to explain technical work and findings to team members.
7. Educated: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
8. Team Player & Learner: Collaborative attitude, eager to learn new techniques, and adaptable to a dynamic startup environment.

Nice to Haves:

1. Experience with Natural Language Processing (NLP) techniques and libraries (e.g., spaCy, NLTK, basic understanding of embeddings or text classification).
2. Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow, Keras).
3. Experience working within the healthcare, clinical research, or biomedical domain.
4. Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.
5. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
6. Experience with SQL for data extraction.

What We Offer:

1. An opportunity to make a real-world impact by contributing to solutions that help diagnose rare diseases.
2. A chance to work on challenging data science problems with complex medical data.
3. Significant opportunities for learning and professional growth within a supportive team.
4. Exposure to cutting-edge AI applications in healthcare.
5. A dynamic, innovative, and collaborative startup culture.

Ready to grow your data science career and make a difference?

If you are a Data Scientist passionate about using your skills to solve meaningful problems in healthcare, we encourage you to apply!