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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 Strong 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). .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.