About The Role

NLP scientist

As a NLP scientist with Miimansa you will be responsible for developing and prototyping novel methods for a variety of natural language understanding tasks for clinical texts.

You will be a core contributor to Miimansas research collaborations with researchers in academic NLP research groups at top-tier institutions and participate in NLU challenge tasks and publications.

You will follow advancements in the SOTA methods that are relevant to Miimansas product pipeline and provide recommendations for product roadmap and and skills

• Bachelor's degree or higher in computer science or engineering with a focus on language processing.
  
  

Exceptional candidates with a bachelors degree in CS with relevant experience will also be considered.

• At least 2+ years of experience in NLP and relevant projects. May be relaxed for candidates with a PhD
• A sound understanding of common NLP tasks (such text classification, entity recognition, entity extraction, question answering)
• Understanding of NLP techniques for language modeling, text representation, and semantic extraction techniques
• Good grasp of current DNN architectures, training and evaluation methods in NLP and ability to adapt them for clinical/medical data and problems.
• Good Knowledge of and hands-on skills with repository management, GPU use. Ability to rapidly set up NLP pipelines for testing new ideas.
• Familiarity with NLP literature, thrust areas, conference venues and code repositories.
• Proficiency in programming in Python and libraries such as Huggingface, Spacy, OpenAI API
• Willingness and ability to mentor engineering the Company
  
  

Miimansa is developing technology that will accelerate the development of medical interventions as well as patient care.

A core We bring together deep expertise in clinical data-management workflows, life sciences research and AI to address some of major bottlenecks in experimental medicine thereby enabling clinical trials sponsors to design trials that are easier to execute and entail lower risk.

We encourage hybrid (remote/in-person) working arrangements and are committed to creating a culture of collaborative learning and discovery. There are lots of opportunities to grow with us!

(ref:hirist.tech)