Senior Scientist, Multimodal Biological Reasoning

Scorpion Therapeutics; Cambridge (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

Scorpion Therapeutics seeks a Senior Scientist to develop multi-modal biological reasoning AI systems that unify human expertise, machine intelligence, and biological signals. You will translate biological questions into ML problems, curate datasets, and contribute to research strategy and product roadmaps.

The role emphasizes collaboration across teams, training and validating large-scale models, and advancing enterprise AI in a scientific context.

Qualifications

• PhD required in CS/ML/Computational Biology or related field.
• Strong ML and software engineering skills.
• Experience with large biological datasets.
• Ability to collaborate cross-functionally and communicate externally.

Responsibilities

• Designing architecture for multi-modal models.
• Training large-scale models.
• Validating large-scale models for biological reasoning.
• Curating biological datasets for model training.
• Translating biological questions into ML problems.
• Contributing to research strategy and product roadmaps.

Skills

ML & software engineering

large biological datasets

cross-functional collaboration

Education

PhD in CS/ML/Computational Biology

Job description

Role

Senior Scientist focused on developing multi-modal biological reasoning AI systems to unify human expertise, machine intelligence, and biological signals.

Responsibilities

• designing architecture
• training
• validating large-scale models
• curating biological datasets
• translating biological questions into ML problems
• contributing to research strategy and product roadmaps.

Requirements

• PhD in Computer Science, ML, Computational Biology, or related
• strong ML and software engineering skills
• experience with large biological datasets
• ability to collaborate cross-functionally and communicate externally

Preferred

• experience with foundation models (e.g., LLMs, VLMs), multi-modal ML, causal reasoning, and deployment in scientific workflows
• knowledge in molecular biology, genetics, biochemistry, or related fields
• contributions to impactful publications or open-source projects
• familiarity with distributed training infrastructure

High-Value

• AI for Biology
• multi-modal and foundation models
• causal reasoning
• enterprise AI deployment
• cross-disciplinary collaboration

WorkSetup

Not specified.