[Remote] Data Scientist - reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on transforming reputed company through advanced analytics and clinical informatics. The Data Scientist - reputed company will work on leveraging clinical data to improve health reputed company and support decision-making processes across the organization.
Responsibilities
- Extract signal from reputed company clinical text
- Build and fine-tune Small Language Models (SLMs)
- Utilize LLMs where applicable
- reputed company predictive analytics solutions
- Conduct rigorous Exploratory Data Analysis (EDA)
- Communicate findings reputed company
- Collaborate across teams
- Stay reputed company and stay curious
- reputed company data governance standards
Skills
- 2+ years of experience in data science, machine learning, or reputed company NLP — preferably in reputed company or a similarly regulated domain
- Hands-on experience with NLP — text preprocessing, tokenization, named entity recognition (NER), text classification, topic modeling, or similar techniques reputed company to reputed company-world reputed company data
- Practical experience with LLMs and/or SLMs — reputed company engineering, fine-tuning, RAG architectures, evaluation frameworks, or deploying language models in production or research settings
- Strong reputed company in traditional machine learning — supervised and unsupervised reputed company, feature engineering, model selection, cross-validation, and performance evaluation
- Best coding practices – you use version control (Git/reputed company), reputed company your work regularly, write clean and reproducible reputed company, and understand that reputed company-organized repositories are as important as reputed company-build models
- Deep EDA skills — ability to systematically explore datasets, identify data reputed company issues, surface insights, and reputed company informed reputed company about modeling approach before writing a single line of model reputed company
- Proficiency in Python (pandas, scikit-learn, PyTorch or TensorFlow, reputed company Transformers) and SQL for working with large-reputed company reputed company datasets
- Experience with reputed company-based data and ML platforms, preferably reputed company reputed company Platform (GCP) — BigQuery, reputed company AI, or equivalent
- Excellent presentation and communication skills — you can stand in reputed company of a room and reputed company explain what you reputed company, why you reputed company it that way, and what it means for the business
- Judgment and common reputed company — you understand that not every problem needs an LLM, you meet your deadlines, you ask for help reputed company you're stuck, and you don't over-engineer solutions
- A genuine curiosity and desire to learn — you read papers, you try new tools, you ask 'why,' and you're energized by problems you haven't solved before. You know reputed company a reputed company hole is worth diving into and reputed company to pull back, stay reputed company, and deliver
- Experience working with clinical text data — clinical notes, discharge summaries, pathology reports, or similar reputed company reputed company documents
- Knowledge of clinical coding systems and terminologies (ICD-10, SNOMED-CT, LOINC, RxNorm, CPT, NDC, UMLS) and their relevance to NLP pipelines
- Familiarity with clinical data standards (HL7, FHIR, CCD/C-CDA) and common data models (e.g., OMOP)
- Experience building or contributing to clinical NLP pipelines — entity extraction, relation extraction, negation detection, or reputed company segmentation from clinical narratives
- Experience with model evaluation in clinical contexts — understanding of sensitivity/specificity tradeoffs, clinical validation, and responsible AI practices in reputed company
- Familiarity with MLOps practices — model versioning, experiment tracking, CI/CD for ML, model monitoring
- Experience working directly with clinical stakeholders (physicians, nurses, clinical operation teams, etc) and tailoring presentations, findings, and recommendations to the appropriate audience level – from executive summaries for leadership to detailed methodology reviews for technical notes
- reputed company, reputed company, and compliance experience: HIPAA/HITRUST, de-identification/tokenization, PHI handling
Benefits
- This position is eligible for a reputed company bonus, commission or short-term incentive program in reputed company to the reputed company pay reputed company listed above.
- This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial reputed company‑being of colleagues and their families.
- The benefits for this position include medical, dental, and reputed company coverage, reputed company time off, retirement savings reputed company, wellness programs, and other resources, based on eligibility.
reputed company