Key Responsibilities

- Develop and deploy AI/ML models for vaccine, antibody, and drug delivery platform development, formulation optimization, prophylactic and therapeutic design.
- Build in-silico and computational models for:
- Vaccine, antibody, and drug delivery

- Adjuvant development and design
- LNP/lipid nanoparticle and mRNA delivery optimization

- Sequence and construct design

- Gene editing system optimization
- CAR-T construct and cell engineering support
- Biomarker prediction and target prioritization
- Apply predictive modeling, generative AI, and optimization algorithms to improve efficacy, stability, manufacturability, and safety.
- Partner with R&D; scientists to translate biological and formulation challenges into AI-driven solutions.
- Support AI infrastructure, model deployment, automation, and scalable data pipelines for R&D.;

Qualifications

- MS/PhD in Machine Learning, Computer Science, AI, Computational Biology, Bioengineering, or related field.
- 5-8+ years of experience in AI/ML, computational modeling, or pharmaceutical/biotech R&D.;

Technical Skills





- Solid expertise in machine learning, deep learning, optimization, and generative AI (transformer architectures, diffusion models, Variational Autoencoders (VAEs), sequence/structure generative models).
- Proficiency in Python, ML frameworks (PyTorch, TensorFlow, Scikit-learn), and scientific computing.
- Experience in computational modeling, in-silico protein design, simulation, or optimization platforms.
- Experience fine-tuning or adapting foundation/protein language models (e.g., ESM, AlphaFold-class, RFdiffusion, Autoregressive Protein Language Models (pLMs)) for sequence and structure design preferred.
- Familiarity with vaccines, prophylactic antibodies, drug delivery systems, mRNA therapeutics, gene editing, CAR-T, or biologics development preferred.
- Expertise in structural biology and protein design.
- Experience with cloud computing, MLOps, APIs, and workflow automation, including model deployment, versioning, and monitoring (e.g., MLflow, Kubeflow, or equivalent).

📌 Lead-Machine Learning Engineer AI For R&D (Shamirpet)
🏢 Biological E
📍 Shamirpet