Principal Computational Immunology Scientist (AI/ML)

Actox; Irvine (CA); On-site; USD 180,000 - 290,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) Plan

Long-Term Incentives

Job summary

AbbVie is seeking an accomplished scientific leader in AI-enabled computational biology to advance immunogenicity capabilities across biologics discovery and development. You will define strategy, build scalable computational platforms, and translate analyses into actionable recommendations for senior leaders.

The role requires directing people, collaborating across Discovery Sciences, Protein Sciences, Bioanalysis, Clinical, and Regulatory groups, and delivering reproducible, high-impact

Qualifications

• Ph.D. in computational biology, computational structural biology, bioinformatics, biomedical informatics, CS, data science, biophysics or related field with 8+ years experience; or Master's with 14+ years.
• Demonstrated discipline expertise in computational protein science, biologics discovery or development, AI/ML, and predictive modeling.
• Proven ability to define scientific strategy, lead multidisciplinary programs, and deliver computational capabilities with measurable impact.
• People management experience leading scientific teams and mentoring staff.
• Exceptional written, verbal, and presentation skills for technical and senior audiences.
• Experience with HLA binding prediction, T-cell epitope prediction, MHC-II modeling, single-cell analysis, knowledge graphs, causal AI, RAG systems, or biomedical language models.
• Experience handling, curating, integrating, and governing large biological datasets.
• Experience developing and maintaining reproducible data pipelines and deployable tools.
• Understanding of protein structure, folding, binding, developability, and molecular recognition.

Responsibilities

• Define scientific strategy and lead cross-functional programs in AI-enabled immunogenicity.
• Lead development of predictive models for immunogenicity risk assessment.
• Integrate ADA, PK/PD, HLA, sequence, structure, and multi-omics data using ML/DL.
• Apply protein language models and generative AI to identify drivers and design opportunities.
• Build computational frameworks linking in vitro, nonclinical, and clinical data to ADA outcomes.
• Lead PLM-/LLM-enabled tools for knowledge mining and risk assessment.
• Mentor and develop computational scientists and engineers; foster collaboration across teams.

Skills

Computational biology

AI/ML in biology

Protein modeling

Leadership

Cross-functional collaboration

Education

Ph.D. in computational biology or related field

Tools

Python

PyTorch

TensorFlow

AWS/Azure cloud

Job description

AbbVie is seeking an accomplished scientific leader in AI-enabled computational biology to advance immunogenicity capabilities across biologics discovery and development. You will define strategy, build scalable computational platforms, and translate analyses into actionable recommendations for senior leaders.

The role requires directing people, collaborating across Discovery Sciences, Protein Sciences, Bioanalysis, Clinical, and Regulatory groups, and delivering reproducible, high-impact