Junior Research Developer - Biostatistics Cost Centre

St. John’s National Academy of Health Sciences; Bengaluru; Presencial; INR 406 000 - 487 000; Tempo integral

Resumo da oferta

Data Science team at St. John’s Research Institute, which builds research applications and develops and applies machine learning models to health research questions.

The team works with high-performance compute infrastructure for data-intensive applications and machine learning experiments, and collaborates with multiple research teams to turn models into stable, reliable tools. The Junior Research Developer (Machine Learning) role involves running and benchmarking ML models on HPC/GPU clusters,

Qualificações

• Strong Python skills and ML basics.
• Familiarity with Flask, Django or FastAPI.
• Experience reading logs and debugging.
• Exposure to HPC/SLURM is a plus.

Responsabilidades

• Run and benchmark ML models on HPC/GPU clusters; report accuracy, latency and GPU/memory utilization.
• Monitor training and inference jobs and logs; assist data preprocessing, model training, evaluation and experiment tracking.
• Debug Python applications and APIs using logs; build RESTful APIs in Python to serve models; support testing and code reviews.

Conhecimentos

Python

NumPy/Pandas

ML basics

API frameworks

Logging

Formação académica

MSc Data Science

BTech CS/AI

Ferramentas

Git

MLflow

Docker

Descrição da oferta de emprego

Junior Research Developer - Biostatistics Cost Centre

Employment Type: Contract

Experience: Minimum Two years experience / Freshers acceptable

Job Summary:

Data Science team at St. John’s Research Institute, which builds research applications and develops and applies machine learning models to health research questions. The team works with high-performance compute infrastructure for data-intensive applications and machine learning experiments, and collaborates with multiple research teams to turn models into stable, reliable tools.

Salary : Rs. 40,000/- p.m

No of Vacancy :One

Key Responsibilities:

• The Junior Research Developer (Machine Learning) will support the team’s modelling work by running and benchmarking machine learning and deep learning models on HPC/GPU clusters (e.g., via SLURM) and reporting results such as accuracy, latency and GPU/memory utilisation.
• The role includes monitoring training and inference jobs and application/server logs to identify and fix failures and resource bottlenecks; assisting with data preprocessing, model training, evaluation and experiment tracking; debugging Python applications and APIs using logs and tracebacks; building RESTful APIs in Python to serve models; supporting testing and code reviews; and documenting experiments, benchmarks and code.
• Applicants should have strong Python skills (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow), working knowledge of Linux and of reading logs, a basic understanding of machine learning, and familiarity with a Python web framework (Flask, Django or FastAPI).
• Exposure to HPC, SLURM, Git, MLflow or Docker is an advantage.

Eligibility Criteria:

Preferred Qualifications: MSc in Data Science, IT or Computer Science; or BTech in Computer Science or AI

Experience : Minimum Two years experience / Freshers acceptable

Preferred Language: English and Kannada

Tentative Date of Joining : 16th November 2026