Senior Data Scientist

Senior Data Scientist

Position Description

Qiagen Romania (Ingenuity Systems) is a group of creative, energetic people helping life science researchers understand the biological mechanisms that cause human disease. Our interdisciplinary, entrepreneurial team of researchers, scientists and semantic technologists built an industry-leading technology platform. 

We have used this technology to develop industry-leading analytic solutions for the life sciences and healthcare markets. We are passionate about our users, our products, our technology, and our vision, and are looking for talented and entrepreneurial developers who are eager to join our world-class team. 

Qiagen Romania offers a professional work environment, valuing work-life balance.

Key Responsibilities

Model Development: Design, develop, and deploy machine learning models,encompassing traditional ML, as well as DL and LLMs.

Knowledge Graph Implementation:Utilize knowledge graphs to represent and query structured biological data, enabling relationship discovery, and reasoning over gene-drug-disease interactions.

Software Engineering:Write well-documented, extensible software code that is easy to maintain, and that adheres to generally accepted programming standards and OOP practices.

Data Integration: Integrate heterogeneous data sources, suchasgene expression profiles, pathway data, gene metadata,and others,todraw insightsandcreate representations for AI analysis.

Collaboration: Work cross-functionally with bioinformatics expertsandsoftware engineers to align AI solutions withcustomer requests andour company’sstrategic goals. 

Ethical AI: Ensure transparent reporting of AI methodologies and limitations to maintain public trust, addressing risks like model bias, data security, and intellectual property.

PositionRequirements

• +5yearsworking as a Data Scientist, with a proven track record in machine learning and AI-driven projects.

• Proficiency in Python, R, and SQL for data analysis and model development

• Strong understanding of ML algorithms and inferential statistics

• Expertise indata preprocessing, feature engineering, and model evaluation techniques

• APIs designing, OOP concepts, design patterns

• Source control and issue tracking systems

• Excellent problem-solving and analytical skills.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to documentmethods andprocesses clearly

• Comfortable in a client-facing role

Nice to have

• Developedfull data-focusedapplicationsto analyze & process data

• Worked withbiological data (e.g., gene expression profiles, pathways, gene metadata, etc.)

• Proficiency in graph-based analysis and network modeling, including experience with tools like NetworkX, Neo4j, or similar

• Research experiencein bioinformatics, AI, or drug discovery

• Experience working with LLMs, vector DBs, RAG systems