Microsoft
Principal Data Scientist
- Full-time
- Contract
- Data Science
$100 USD
Bangalore, भारत
Vacancy description
PARTEX.AI TECHNOLOGY PRIVATE LIMITED
Pune, भारत
About https://jobeax.com/link/v0VXYhyVPpDm0JN5 : https://jobeax.com/link/v0VXYhyVPpDm0JN5 works at the intersection of artificial intelligence and healthcare. We help leading life-sciences and healthcare organizations speed up medical research, diagnostics and therapeutic development through data-driven https://jobeax.com/link/QDnJ94BYlgDB1vpP are a fast-growing company with a global outlook and a focus on real-world impact. Our Data & AI team of 40+ engineers is scaling quickly, and we are building the leadership layer that will take it to the next https://jobeax.com/link/YkEotyzkLKf14GYs the role : You will lead our data science work across healthcare and life-sciences data, from structuring clinical and biomedical text to building the models behind our products. You will own the modelling approach, lead a team of data scientists, and be accountable for delivering models that work in https://jobeax.com/link/Hezg8dvjjr3l1S3T is a hands-on leadership role. You will set the scientific direction, review the work closely, and turn complex findings into decisions for product, clients and https://jobeax.com/link/UElKnrRfFoXd0J4r responsibilities : Technical ownership : - Own the end-to-end lifecycle of data science projects, from problem framing and dataset acquisition to model development, deployment and monitoring.- Lead NLP and information-extraction work on clinical and biomedical data : entity recognition, relation extraction, classification and structuring of unstructured text.- Decide when to use classical ML, deep learning or LLMs, including fine-tuning and LLM-based extraction.- Work with the knowledge graph team on entity linking, ontology mapping and graph-based modelling.- Set standards for experiment design, model evaluation, reproducibility and data https://jobeax.com/link/wKS66qDdaqm6nbxr leadership and delivery : - Lead a team of data scientists : sprint planning, task allocation and day-to-day unblocking.- Own delivery for your projects, including tracking progress, managing risks and giving status updates to stakeholders.- Review models, code and analyses, and raise the scientific bar of the team.- Mentor data scientists, run regular 1 : 1s and support their growth plans.- It's interview and hire for your https://jobeax.com/link/kfJw8NppMlFgD9rM and clients : - Present findings and model performance to leadership and clients in clear, non-technical terms.- Support client pitches and technical due diligence with data science expertise.- Contribute to new AI products and to IP such as patents, whitepapers and publications.Must-have qualifications : - 10+ years in data science or ML, with at least 3 years leading data scientists and delivering projects end to end.- Strong Python and a deep understanding of modern model architectures, especially transformers (encoder models such as BERT or BioBERT, and decoder-based LLMs), with hands-on experience in PyTorch and Hugging Face.- Deep experience in NLP : information extraction, text classification and structuring unstructured text.- Hands-on experience applying LLMs, including prompting, fine-tuning (full and parameter-efficient methods such as LoRA) and evaluation.- Strong statistics and experiment design, with a rigorous approach to model evaluation.- Experience taking models to production in collaboration with engineering teams.- Proven ownership of delivery using Agile practices : planning, estimation and stakeholder updates.- Ability to explain complex results clearly to non-technical audiences.- Master's or PhD in a quantitative field preferred, or equivalent experience.Nice-to-have qualifications : - Experience in pharma, healthcare or life sciences, especially with clinical trial, EHR or biomedical literature data.- Experience with biomedical ontologies (UMLS, MeSH, SNOMED) and knowledge graphs.- Familiarity with MLOps tooling, Docker, Kubernetes and NoSQL databases such as MongoDB.- Patents, publications or open-source contributions in NLP or ML. (ref:hirist.tech)
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