Das ist der Job
MediNav listents to doctors speak, understands, transcribes, extracts and pre-fills medical forms.
Darum lohnt es sich
What we offer:
• A role in an ambitious, young company with the vision to change the medical field and flat hierarchy.
• A growing and international start-up.
• Fully remote job
• If you87re really excited about what MediNav does, we have stock options and warrants for the most dedicated members of the team.
Internship Data Scientist NLP
- Remote (Italy) -Part-time or Full-time-Student or Graduate
MediNav is an innovative medtech company building a digital medical assistant that reduces admin time for doctors with 70%. Right now we e7re offering our assistant to hospitals and clinics in Romania and we 0e7re looking to expand into new European markets.
We87re an early stage start-up but we87re growing insanely fast. To achieve our goals, we need smart, self-driven people who are looking for ways to challenge themselves and create brand new solutions. We don87t micro-manage, we don87t have the time for it! What you should bring:
• A machine learning basis such as neural networks.
Proof of finishing a course such as deeplearning.ai would be ideal or a similar university course.
• Python general programming including but not limited to Pandas, Numpy.
• Tensorflow or PyTorch, Keras
• Experience with prototyping in Jupyter Notebook / Jupyter Lab.
• Some NLP (natural language processing) knowledge such as part-of-speech tagging, word embeddings, NER and other unsupervised and supervised techniques.
Specifically NLTK, Spacy libraries would be a plus.
• Familiarity with sequential models for NLP
• Some experience with visualization libraries such as Dash.
• General API knowledge and specifically Flask in Python
• Optionally some knowledge of speech recognition techniques such as ASR (wav2vec, Whisper models)
• Experience with Transformer models (at least as University projects)
• Good level of English.
Any additional language is a plus with a focus on Italian, Spanish, Romanian.
• Knowledge and experience with at least one the following technologies: Relational Databases, MongoDB, Docker, Graph Databases (Neo4j).
