Scientific AI Platform Expert, Disease Area X (AI)

Location: Basel, Switzerland; hybrid. The role is based in Basel, CH, and relocation support is not available.

Salary: CHF 78,400–145,600 annual base salary, with possible performance-based bonus and group-level long-term equity awards.

Company

hirify.global develops medicines and provides scientific and technology solutions to accelerate drug discovery.

What you will do

• Translate scientific and operational AI needs into decision-enabling solutions.
• Design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products.
• Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.
• Prioritize resources against evolving research needs and contribute to project evaluation, deployment, lifecycle, and governance.
• Support onboarding of external vendors and service providers.
• Communicate strategy, implementation details, and results through presentations, posters, publications, and technical documentation.

Requirements

• BS or MS in AI/ML, data science or engineering, computational biology, bioinformatics, computer science or engineering, mathematics, physics, or a related discipline, plus 3+ years of hands-on experience in scientific data science or engineering, AI/ML, or computational research within biopharma and/or technology; qualified PhD graduates from within the last 2 years are also considered.
• Experience building and operating production-grade multimodal scientific data platforms covering omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows.
• Deep practical experience in software or data engineering, including agile practices, Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes.
• Strong communication, interpersonal, ethical, self-awareness, and customer service skills.

Nice to have

• Experience with genomics or transcriptomics pipelines, MCP, LLM patterns, biological foundation models, agent orchestration, and deep learning frameworks such as PyTorch.
• Familiarity with agentic frameworks such as Claude Science, Biomni, Gemini, or open-source co-scientist platforms.
• Experience with Snowflake, Databricks, Palantir Foundry, or AWS.
• Scientific or technical impact demonstrated through publications, conference proceedings, open-source contributions, patents, or deployed data products.
• Experience leading and supporting cross-functional science or engineering teams and influencing stakeholders across a matrix organization.

Culture & Benefits

• Flexible and hybrid working options where possible.
• Insurance plans, retirement plans, wellbeing resources, and global recognition programs.
• Minimum 14 weeks of paid parental leave.
• Benefits and compensation vary by country and local legal requirements; the full package is communicated during the application process.
• Inclusive work environment with reasonable accommodation available during recruitment.