This is a biomedical data and research role for candidates with a biomedical/life sciences background and hands-on experience using R/RStudio. We are specifically looking for candidates with a degree or postgraduate qualification in Biomedical Sciences, Biology, Bioinformatics, Biostatistics, Biotechnology, Public Health, or a related life sciences field, combined with practical experience analysing biological, clinical, healthcare or research datasets using R/RStudio. Candidates without a relevant biomedical/life sciences background or without practical R/RStudio experience will not be considered.
• You will combine biological/healthcare knowledge with statistical data analysis, contributing to research and strategic projects across rare diseases, haematological disorders and other areas of healthcare.
You should be comfortable using R/RStudio for:Data cleaning and manipulation
• Statistical analysis
• Data visualisation
• Statistical modelling
• Developing and working with analysis pipelines
• Interpreting and communicating analytical results You will work with researchers, clinical teams, academic collaborators and data partners across research-focused projects.

Key Responsibilities
• Designing and contributing to statistical analysis pipelines using R/RStudio
• Cleaning, analysing and visualising biological, clinical and healthcare datasets
• Applying appropriate statistical methods and interpreting results
• Supporting research teams with analysis, protocols, publications and reports
• Drafting scientific and research proposals, including grant applications
• Supporting data partnerships, agreements and ethics documentation




• Preparing research presentations and internal/external decks
• Coordinating with researchers, clinical teams and academic collaborators
• Communicating research and analytical findings to technical and non-technical stakeholders Essential Skills & Experience
• Degree or postgraduate qualification in Biomedical Sciences, Biology, Bioinformatics, Biostatistics, Biotechnology, Public Health, Life Sciences or a closely related field
• 2+ years of hands-on R/RStudio experience
• 2+ years of statistical data analysis experience
• Experience working with biological, clinical, healthcare or research datasets
• Strong understanding of statistical analysis and interpretation
• Experience with data cleaning, manipulation and visualisation in R
• Ability to independently develop and work with R-based analysis pipelines
• Strong scientific and technical writing skills
• Solid attention to detail and ownership
• Strong communication and collaboration skills Desirable Skills
• Clinical research or digital health experience
• Genomics, epidemiology or patient-generated data experience
• Python
• Grant or funding proposal writing
• Academic publications
• Experience working with clinical or academic stakeholders
• Keynote / research presentation experience Important Before Applying This role is specifically for candidates with both: 1. A biomedical/life sciences academic background AND 2. Practical, hands-on experience using R/RStudio for statistical or research data analysisGeneral business analysts, commercial data analysts, or candidates without a relevant biomedical/life sciences background will not be considered for this position. Application Details Please send your CV to:[email protected]

📌 Bioinformatics Research Analyst (India)
🏢 Sanius Health
📍 India