Data Science Engineer

Causaly

Causaly, established in 2018, advances the acquisition of knowledge in biomedical sciences using a sophisticated generative AI platform. Serving major biopharma companies, their work spans multiple research areas, including drug discovery. Supported by prominent venture capital firms, Causaly thrives on innovation and collaboration.

In this role you can expect to have the responsibilities:

• Manage and integrate data and knowledge resources to solve business challenges.
• Link domain semantics and engineering with expertise from domain specialists.
• Collaborate on data-pipelines focusing on data models, algorithms, and analytics.
• Drive semantics agenda through ontology management and knowledge graph development.
• Participate in rapid Proof of Concepts (PoCs).
• Utilize LLMs for data extraction in collaboration with NLP and ML engineers.
• Engage with technical, product, and business stakeholders.

This role comes with the following benefits:

• Competitive salary package.
• Private medical and life insurance.
• Individual training and wellbeing budget.
• 25 days of holiday and additional leave for birthdays.
• Hybrid work model.
• Opportunity for significant impact and career growth.

This role requires you to have:

• Experience in data or knowledge engineering with hands-on data management contributions.
• Strong engineering background for fast transition from concepts to production.
• Proficiency in Python, Git, and SQL.
• Skilled in debugging, code testing, and process improvements.
• Technical communication skills and a user-centric approach.

You would benefit from having:

• Industry experience and modern development practices.
• Background in biomedical or related fields.
• Familiarity with graph and semantic technologies (e.g., Neo4j, RDF).
• Understanding of database query design and optimization.
• Experience with cloud infrastructures, particularly GCP.

Causaly is dedicated to diversity, equity, and inclusion, fostering an environment where differences are celebrated and leveraged for team growth. They provide equal opportunity to all candidates, irrespective of background.