Senior Software Engineer – Drug Discovery Workflow

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Apheris

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence • Biotechnology • Pharmaceuticals

Apheris is a company that specializes in enabling secure and compliant data collaboration across distributed data environments, particularly for enterprises. The company's solutions empower organizations to engage in federated machine learning and analytics, facilitating the building of models without needing to move sensitive data, thus preserving privacy and security. Apheris focuses on providing technology that allows multi-party data ecosystems and partnerships, with a strong emphasis on compliance, particularly in regulated industries like pharmaceuticals and biotech. Their technology is trusted by major pharmaceutical companies to support AI-driven drug discovery initiatives without compromising proprietary data.

📋 Description

• Design and implement drug discovery workflows primarily in Python to solve real drug discovery problems and automate the drug design process. • Contribute to system design and architectural discussions, helping evolve platform components as the product and customer base scale. • Collaborate cross-functionally across engineering, data, machine learning, and drug discovery science to deliver cohesive, end-to-end functionality. • Use AI coding tools efficiently, exercising good judgment on the balance between agentically built proof of concept and robust, production-grade code. • Write high-quality, maintainable, and well-tested code, and actively participate in code reviews to uphold strong engineering standards.

🎯 Requirements

• A degree in computer science, engineering, computational chemistry/biology, or equivalent hands-on development experience in a related domain. • 5 + years of professional experience as a developer, with a strong focus on backend systems. • Strong programming skills in Python. • Solid experience working with Docker and containerized applications in production environments. • Strong understanding of software engineering best practices, including testing strategies. • A strong sense of ownership and accountability for technical outcomes, including reliability and long-term maintainability. • Comfortable working in a fast-paced, iterative startup environment where priorities evolve, and trade-offs are part of daily decision-making. • Excellent communication skills and fluency in English (verbal and written).

🏖️ Benefits

• Industry-competitive compensation, including early-stage virtual share options • Remote-first working – work where you work best, whether from home or a co-working space near you • Great suite of benefits, including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend, and a learning and development budget • Generous holiday allowance • Office Days at our Berlin HQ or a different European location (3x a year) • A fun, diverse team of mission-driven individuals with a drive to see AI and ML used for good • Plenty of room to grow personally and professionally