Post Doc Fellow-Immunogenicity Prediction (AI/ML)

Location: West Point, Pennsylvania, United States of America. Full-time onsite role. US, Canada, and Puerto Rico residents are eligible to apply; relocation is domestic and visa sponsorship is available. Travel requirements: 10%.

Salary: $82,000–$92,000 per year, plus eligibility for an annual bonus and long-term incentive where applicable.

Company

hirify.global is a pharmaceutical company conducting nonclinical drug safety and translational research.

What you will do

• Curate, integrate, and harmonize biological, structural, and clinical datasets from public and internal sources into reproducible workflows.
• Develop computational methods for immunogenicity prediction using sequence, structural, and experimental data.
• Apply structure-based modeling and molecular simulation to study biomolecular interactions and conformational behavior relevant to immune recognition.
• Build and benchmark multimodal machine-learning models combining sequence, structural, and tabular data into robust, calibrated predictors.
• Evaluate model performance, generalizability, and applicability across therapeutic modalities.
• Prepare first-author manuscripts and scientific presentations while collaborating with computational, biology, experimental, and academic research partners.

Requirements

• Currently hold a PhD or receive a PhD no later than spring 2027 in computational immunology, computational biology, computational chemistry, structural biology, bioinformatics, or a closely related field.
• Strong hands-on experience with co-folding models such as AlphaFold2 or Boltz2, multimer modeling, or related structure-based computational methods.
• Experience with molecular dynamics simulation and analysis of biomolecular systems, complexes, or conformational behavior.
• Strong software development skills in Python and modern deep-learning frameworks such as PyTorch, with sound version control, reproducibility, and scientific-computing practices.
• Working knowledge of immunology relevant to immunogenicity prediction, including antigen processing and presentation, MHC/HLA biology, CD4+ T-cell recognition, and anti-drug antibody responses.
• Comfort working in HPC, GPU, and cloud-computing environments.
• Excellent scientific communication skills and a strong first-author publication record.

Nice to have

• Experience applying computational methods to immunology, structural biology, or protein science.
• Familiarity with antigen processing and presentation, MHC/HLA biology, or related immune-recognition concepts.
• Experience with data integration, biological dataset curation, and programmatic workflows using public resources and APIs.
• Familiarity with uncertainty quantification, model calibration, and rigorous benchmarking.
• Familiarity with biotherapeutic developability, protein engineering, or related optimization concepts.
• Exposure to immunoinformatics, peptide modeling, or related predictive methods.

Culture & Benefits

• Two-year, publication-oriented postdoctoral fellowship with strong mentorship.
• Cross-functional collaboration with computational, biology, experimental, and external academic researchers.
• Opportunities to publish first-author manuscripts and present at internal forums and external scientific conferences.
• Comprehensive medical, dental, vision, and other insurance benefits for employees and families.
• Retirement benefits including 401(k), paid holidays, vacation, compassionate leave, and sick days.