Senior Data Scientist

1 day ago

Queenstown, Singapore Oncoshot Pte Ltd Full time

**About Oncoshot**:
Oncoshot is committed to transforming oncology research through data science and machine learning. Our federated data platform supports secure, privacy-compliant data exchanges between hospitals and pharmaceutical companies, helping accelerate clinical trials. We leverage cutting-edge machine learning models, including **LLMs (Large Language Models)**, to derive actionable insights from large-scale healthcare data.

**Position Overview**:
As a **Senior Data Scientist**, you will lead the development of advanced machine learning models to support patient-trial matching, outcome prediction, and data-driven insights. You will work with large-scale healthcare datasets to develop models that scale across multi-cloud environments and ensure compliance with global data privacy standards. This role offers the opportunity to work with innovative technologies, including **LLMs**, to extract meaningful insights from both structured and unstructured data.

**Key Responsibilities**:

- Lead the design and development of machine learning models for clinical trial optimization and patient matching
- Design and implement robust evaluation framework to assess LLM performance, safety and reliability in healthcare context
- Collaborate with clinical team, understand clinical trial workflow and translate medical requirements into technical specifications
- Build scalable data pipelines and models that operate across **AWS**, **GCP**, and **Azure** cloud environments
- Utilize **LLMs** to enhance natural language understanding for clinical data and unstructured healthcare records
- Ensure privacy-preserving techniques like **federated learning** are implemented to maintain data security and compliance (HIPAA, GDPR)
- Collaborate with backend engineers and data engineers to deploy models into production environments, ensuring seamless integration into Oncoshot’s platform
- Conduct exploratory data analysis to identify trends and actionable insights for clinical trial operations

**Required Skills**:

- **7+ years** of experience in machine learning and deep learning, with a focus in NLP and LLM
- 3+ years experiences in clinical informatics with an understanding of coding standards in healthcare (RxNorm, ICD10, SNOMED-CT, LOINC, HGVS nomenclature and interoperability standards (FHIR and HL7)
- Proficiency in **Python** and machine learning frameworks like **TensorFlow**, **PyTorch**, or **Scikit-learn**:

- Experience working with **LLMs, RAG and TAG** and other NLP-based techniques to process unstructured data
- Experience installing and deploying **LLMs** locally and utilised framework to test and validate the models
- Strong expertise in working with cloud platforms (**AWS**, **GCP**, **Azure**) for scalable model deployment
- In-depth knowledge of data privacy regulations (HIPAA, GDPR) and experience implementing privacy-preserving data models
- Hands-on experience with ETL processes, data wrangling, and large-scale healthcare datasets
- Familiar with use of AI-DevOps framework and work with DevOps engineer to implement AI-DevOps architecture to govern the life-cycle deployment of AI models from development to production

**Job Types**: Full-time, Permanent

Pay: $7,000.00 - $10,000.00 per month

Schedule:

- Monday to Friday

**Education**:

- Professional Qualification (preferred)

**Experience**:

- Machine learning: 7 years (required)
- ICD coding: 3 years (preferred)

Work Location: In person

Application Deadline: 30/06/2025

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