NLP Scientist

Miimansa is a health tech startup at the forefront of AI and machine learning applications in life sciences and healthcare. We digitise clinical workflows with the help of modern AI tooling, to achieve improved clinical and financial outcomes for drug developers, patients, providers & payers. 

NLP scientist

NLP Data Scientists

You can also opt to be a core contributor to Miimansa’s research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications. 

Key Responsibilities

• Develop and deploy NLP models for tasks such as information extraction, text classification, named entity recognition, topic modeling, and summarization.
• Apply deep learning and transformer-based approaches (e.g., BERT, GPT, RoBERTa) to solve real-world language problems.
• Build robust, scalable data pipelines for ingesting, cleaning, and processing unstructured text data.
• Design and conduct experiments to evaluate NLP models and iterate on model performance.
• Collaborate with product managers, engineers, and business stakeholders to understand requirements and deliver actionable solutions.
• Stay up-to-date with the latest research and trends in NLP and AI, and integrate advancements into production systems.

Qualifications and skills

• Bachelor's degree or higher in computer science or engineering with a focus on language processing. Exceptional candidates with a bachelor’s degree in CS with relevant experience will also be considered.
• Bachelor’s, Master’s or PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field.
• Solid understanding of core NLP concepts and techniques (such as text classification, entity recognition, entity extraction, question answering)
• Hands-on experience with NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, Gensim, or AllenNLP.
• Proficiency in Python and experience with ML/DL libraries such as PyTorch or TensorFlow.
• Strong analytical and problem-solving skills, with experience in designing experiments and interpreting model performance metrics.
• Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas.
• Willingness and ability to mentor engineering interns.