Scientific AI Platform Expert

avec compétence GmbH; Basel; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

Try&Hire is building enterprise AI analysis platforms to accelerate drug discovery. Join a disease-area data science team to translate scientific AI needs into decision-enabling solutions and to design scalable omics pipelines and data products.

You bring a BS or MS in AI/ML or related fields, 3+ years in scientific data science or AI/ML in biopharma or tech, and experience with production-grade multimodal platforms, omics pipelines, Python/SQL, and cloud tools.

Qualifications

• BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science, mathematics, physics or related.
• 3+ years hands-on experience in scientific data science, engineering or AI/ML in biopharma or technology.
• Experience building production-grade multimodal data platforms for scientific analysis.
• Experience with omics analysis pipelines, LLM patterns, agent orchestration and deep learning frameworks preferred.
• Practical experience in software or data engineering including Python, SQL, version control, testing, cloud platforms.
• Strong communication and interpersonal skills.

Responsibilities

• Translate scientific and operational AI needs into decision-enabling solutions.
• Design, build, and sustain scalable AI-focused omics pipelines, APIs, and data products.
• Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.
• Prioritize resources against evolving research needs.
• Provide input on project evaluation, deployment, lifecycle, and governance practices.
• Support onboarding of external vendors and service providers.
• Present strategy, implementation details and results internally and externally.

Skills

Python

SQL

Communication

LLM patterns

Agent orchestration

Deep learning

Education

BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science, mathematics, physics or related

Tools

PyTorch

Snowflake

Databricks

Palantir Foundry

AWS

Job description

You will build enterprise-grade AI analysis platforms and data products to accelerate drug discovery within a disease area data science team.

Your tasks

• Translate scientific and operational AI needs into decision-enabling solutions
• Design, build, and sustain scalable AI-focused omics pipelines, APIs, and data products
• Scale AI workflows using reproducible, transparent, secure, and FAIR data practices
• Prioritize resources against evolving research needs
• Provide input on project evaluation, deployment, lifecycle, and governance practices
• Support onboarding of external vendors and service providers
• Present strategy, implementation details and results internally and externally

What you bring

• BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science, mathematics, physics or related
• 3+ years hands-on experience in scientific data science, engineering or AI/ML in biopharma or technology
• Experience building production-grade multimodal data platforms for scientific analysis
• Experience with omics analysis pipelines, LLM patterns, agent orchestration and deep learning frameworks preferred
• Practical experience in software or data engineering including Python, SQL, version control, testing, cloud platforms
• Strong communication and interpersonal skills

Conditions

• Workload: 100 %
• Work model: Hybrid
• Option of a permanent position after the assignment if both sides want it

What to expect

• Hybrid work model
• 3-6 months interim, then a permanent position

Technologies

• Python
• SQL
• PyTorch
• Snowflake
• Databricks
• Palantir Foundry
• AWS