Bioinformatics [h1.location_city]

Job Description

Contact : Neisha Camacho / Terra Parsons -

No 3rd party candidates

Job Summary :

The AI Computational Biologist will be a key contributor in developing and applying AI models for target discovery mechanism elucidation and drug repurposing while integrating outputs with wet-lab validation and preclinical research.

Youll collaborate across disciplines from ML engineers building / working with foundation models to biologists running assays ensuring that computational insights translate into tangible therapeutic hypotheses.

This role is ideal for someone who combines deep biological expertise with fluency in modern AI architectures and whos passionate about leveraging LLMs and GNNs to accelerate translational discovery.

Key Responsibilities :

AI & Computational Modeling

• Design train and implement LLM- and GNN-based models to extract biological relationships from multi-modal data (omics literature chemistry clinical).
• Integrate knowledge graphs and structured biomedical databases to support hypothesis generation for novel targets and mechanisms.
• Collaborate with ML teams to fine-tune and evaluate models on domain-specific tasks such as genedisease association pathway prediction and compound efficacy modeling.

Biological Interpretation & Target Discovery

Data Integration & Curation

Collaboration & Cross-Functional Impact

Education :

PhD or MS with 5 years of relevant experience in Computational Biology Bioinformatics Systems Biology Computer Science or a related discipline.

Core Competencies :

Technical Skills :

Soft Skills :

Required Experience :

Manager

Key Skills

Restaurant Experience,Customer Service,Employee Evaluation,Management Experience,Math,Employment & Labor Law,Sanitation,Leadership Experience,P&L Management,Mentoring,Supervising Experience,Restaurant Management

Employment Type : Contract

Experience : years

Vacancy : 1