We are looking for a Project Research Scientist I who has a quantitative bend of mind, interested in statistics and programming. The project involves investigating genomics and multi-omics data to identify shared immunopathogenic events in multiplex families (multiple affected individuals) with autoimmune diseases. Specifically, this individual will:

- Perform data cleaning, preprocessing, and quality control of biomedical and clinical datasets

- Conduct statistical analyses and machine learning modeling for disease risk prediction, biomarker discovery, and phenotype characterization

- Work with large-scale multimodal datasets (EHR, omics, longitudinal cohort data) under supervision

- Implement and validate analytical workflows in R/Python, ensuring reproducibility and proper documentation

- Develop predictive models, clustering approaches, and risk scores

- Generate high-quality visualizations, summary reports, and presentations for research discussions.

- Contribute to manuscripts, grant proposals, reports, and conference abstracts

- Collaborate with interdisciplinary teams including clinicians, statisticians, and data scientists

- Maintain structured documentation of code, datasets, and results using version control and best practices

- Support ongoing grant-related research activities and project coordination when required

Qualifications

- MSc in Bioinformatics / Statistics / Computer Science/Biotechnology or a B.E./BTech in a relevant field. GATE/NET or any equivalent exam (preferred).

- Experience: 0-2 years.

Skills Required

- Intermediate to advanced proficiency in R and/or Python for data analysis and visualization

- Foundation in statistics and biostatistics (regression models, hypothesis testing, basic survival analysis)





- Knowledge of basic machine learning methods (e.g., linear/logistic regression, LASSO, Random Forest, clustering techniques)

- Ability to perform data cleaning, preprocessing, and exploratory data analysis

- Experience with data visualization tools (e.g., ggplot2, matplotlib)

- Robust analytical thinking and problem-solving skills

Desired Skills (Preferred)

- Experience handling large-scale datasets such as biobank, EHR, or longitudinal cohort data

- Exposure to advanced machine learning methods (e.g., XGBoost, Elastic Net, survival ML models)

- Basic understanding of omics data analysis (genomics, metabolomics, epigenetics, proteomics)

- Familiarity with Linux environments and/or High-Performance Computing (HPC) systems

- Experience with version control systems (Git) and reproducible research workflows

- Prior involvement in academic research projects, manuscript writing, or conference presentations

- Interest in precision medicine, and data-driven disease risk prediction

- Desirable: Hands on experience in computational genomics involving handling DNA-sequence data

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Role: Research Scientist,

Industry Type: Education / Training,

Department: Research & Development,

Employment Type: Full Time, Permanent

Role Category: Pharmaceutical & Biotechnology

Education

UG: Any Graduate

PG: Any Postgraduate

Key Skills biotechnologybiologydata analysisaicraftacademic researchbiomedicalehrfacultyexploratory data analysisgitdata cleaningbioinformaticsclusteringhpcdata visualizationcharacterizationhigh-performance computing

📌 Project Research Scientist I (AI/ML) (Sonipat)
🏢 Ashoka University
📍 Sonipat