Epigene Labs is a seed stage and venture-backed startup founded in 2019 in Paris, and at the intersection of data science, genomics, and drug discovery in oncology. We are building a technology platform for the aggregation, analysis, and visualization of multidimensional genomic data (multi-omic data): still major hurdles for cancer drug hunters. This platform relies on semantic technologies and machine learning algorithms for clinical data harmonization, and on biostatistics, bioinformatics, and system biology methods for multi-omic data analysis. We operate within an innovative, value-based business model promoting incentive alignment between cancer scientists and data scientists for the discovery of novel precision oncology approaches. Towards this goal, we are seeking a talented Senior Software Engineer eager to leverage his/her skills in and become our Head of Engineering in our fight against cancer. This role will report directly to Epigene’s co-founder & CEO who primarily focuses on building and managing the R&D team. The team is located in Paris at Station F, world’s biggest startup campus, and benefits from the advisory of world-class cancer scientists, data scientists, and technologists, as well as seasoned tech and biotech entrepreneurs and investors, including daphni.

Key Responsibilities

• Build and maintain a state-of-the-art software platform for genomic data-driven drug discovery in oncology
• Lead the implementation of software engineering good practices
• Design and implement a data warehouse and APIs to store a wide range of voluminous genomic data (from multiple data sources and for multiple high-throughput molecular data types)
• Collaborate with the data science team in the implementation of automated data storage and analysis at scale for the discovery of innovative therapeutic and diagnostic targets in oncology
• Integrate advanced algorithms, big data analytics and report generation into scalable and robust production workflows
• Document, summarize and present your results to internal and external partners in the setting of data science, genomics, oncology events (domestically and internationally)

Minimum Requirements

• MS in engineering, software development, computer sciences, or related technical fields
• Strong DevOps proficiency, including management of cloud servers and infrastructure, monitoring and logging, and microservices orchestration
• Ability to manage workflows, priorities, and deadlines, while handling multiple projects as part of a small team in agile environment
• Experience on setting up AI algorithms in a production environment
• Advanced API development skills (Python)
• Outstanding interpersonal and communication skills, and a lifelong learning mindset

Preferred Qualifications

• Prior experience involving the analysis of biological/medical data
• Working knowledge of healthcare, biopharma and/or oncology
• Experience with AWS / Azure / OVH environments for cloud computing pipelines