Data Scientist & Machine Learning

About Minapharm:

Minapharm Pharmaceuticals is a leading pharmaceutical company in Egypt and the Middle East and the largest end-to-end manufacturer of biological therapies in MEA with over 20 years of experience in cellular and bioprocess engineering. Headquartered in Cairo, Minapharm commercializes over 100 life-saving and life-enhancing products ranging from small molecules to complex bioengineered proteins and viral vectors, with an impressive immunotherapy pipeline. Together with its wholly-owned Berlin-based subsidiary, ProBioGen AG - a world-leading CDMO, Minapharm has established an integrated business model making it the only gene-to-market company in the region. Consolidating its international platform of intelligent biopharmaceutical technologies with the longstanding process development and manufacturing expertise in the MEA, Minapharm, together with ProBioGen, has incorporated MiGenTra GmbH headquartered in Berlin and manufacturing in Cairo, to enhance the accessibility to critical healthcare transforming medicines through product development and commercialization of Biosimilar mABs, Cell, and Gene Therapies and vaccines, at affordable prices in Egypt, and MEA.

Our Core Values:

• Diversity & Respect
• Integrity & Accountability
• Collaboration
• Leadership & Empowerment
• Innovation & Continuous Learning

Job Mission:

Deliver scalable agentic AI and automation solutions for pharmaceutical operations by architecting end-to-end systems, integrating advanced frameworks, and conducting applied research to ensure performance, compliance, and innovation.

Key Responsibilities:

- Architect and implement robust end-to-end AI and automation solutions tailored to

complex pharmaceutical business needs.

- Research, compare, and evaluate multiple AI/ML approaches to solve specific business

and scientific problems.

- Design, build, and operate agentic AI systems that automate knowledge work and

operational workflows—leveraging tools like OpenAI Agents SDK, n8n AI Agent

nodes, and Perplexity’s APIs; select the right framework (e.g., LangGraph, CrewAI,

AutoGen/Microsoft Agent Framework) for each use case.

- Integrate agents with internal and external tools using the Model Context Protocol

(MCP); build/extend MCP servers to safely connect agents to data sources, SaaS, and

developer tools.

- Do applied research & comparative studies: quickly run literature/tooling reviews,

benchmark options, present trade-off analyses, and implement the most performant and

compliant solution.

Required Qualifications:

- 2+ years of experience in AI/ML engineering or advanced automation development.

- Deep understanding of machine learning principles, reinforcement learning, and data

science methodologies.

- Expert in Python, modern software engineering practices, and database technologies

(SQL/NoSQL).

- Strong knowledge and practical experience with LLMs, generative AI, and AI agent

design.

- Modern AI stack expertise: LLMs (prompting, tool-use, function-calling), OpenAI

Agents SDK, n8n AI Agent, and at least one agent framework (LangGraph /

LlamaIndex / CrewAI / AutoGen).

- Hands-on experience with orchestration tools like n8n, Airflow, or Prefect.

- Familiarity with tools like OpenAI, Perplexity, AWS AI/ML services, Google AI

(Gemini), and LangChain.

- Excellent analytical, problem-solving, and communication skills in English.

- Ability to present research, benchmark models, and recommend data-driven strategies.