Nlp Data Scientist Real World Data

**Location **:India, Remote (Work from Anywhere in India)

**Minimum Qualification **:B. Tech. (or equivalent) from an accredited institution

**Indicative Experience **:7+ Years

**Salary **:Best in the Market

**Domain**:Preferably Life Sciences/Pharma.

**Customer Profile**:Captive research and development pods for a $500 million group of pharma data research companies that help patients gain access to life-saving therapies. We help our clients navigate the complexities at each step of the drug development life cycle, from pipeline to patient.

**Other benefits **:Health Insurance, Provident Fund, Life Insurance, Reimbursement of Certification Expenses, Gratuity, 24x7 Health Desk

**About the Company**

We are headquartered in Pittsburgh, USA, with locations across the globe. We are a team of thoughtful experts driven by the power of our client's unique ideas. We also have micro-offices in Hyderabad, Chennai, Bengaluru, and Delhi NCR in India.

While technical expertise is ingrained in Agilite's DNA, we are more than just engineers and developers'”we are trusted product strategists. We pride ourselves on being a ready resource for critical market insights with the knowledge and experience required to design, build, and scale big ideas to serve our growing list of customers in the USA and Europe.

Our preferred working model is "Work from Anywhere" (WFA). In addition, you can also decide on your work schedule. All we need is the outcome. Our people-centric culture is built on the belief that extraordinary employees create amazing things. Work with us and attain your Ikigai in a place where your aspirations and business objectives intersect

We are seeking a skilled NLP data scientist with a focus on language models to join our AI and Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory report analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma.

**Responsibilities**:

- Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports.
- Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data.
- Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes.

Validate and present data findings to stakeholders, exhibiting clear and effective communication skills

**Required Skills/Qualifications**:

- Master's or Ph.D. degree in Computer Science, Data Science, Computational Linguistics, or a related analytical field.
- Deep understanding and direct experience (2+ years) in handling and interpreting electronic health records (EHR) and laboratory test results are a must.
- Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modelling, etc. and their applied use in healthcare.
- Expert-level understanding and practical experience (1+ years) with Large Language Models (LLM), e.g., inference and fine-tuning.
- Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, SpaCy, Hugging Face Transformers, and deep learning libraries such as PyTorch and TensorFlow.
- Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation.
- Experience working with the AWS cloud environment and large databases (e.g., AWS Redshift).
- Experience in managing the ML lifecycle using open-source tools (e.g., MLflow).
- Detail-oriented with strong analytical and problem-solving abilities. Excellent verbal and written communication skills, with the ability to present complex data to non-technical audience.

**Preferred Qualifications**:

- Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA.
- Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT.
- Experience in RAG (Retrieval-Augmented Generation) and vector storage in the context of storing a large volume of healthcare unstructured documents and querying those.