About the Role

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
- Solid 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
- Strong 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:
- A biomedical/life sciences academic background

AND

- Practical, hands-on experience using R/RStudio for statistical or research data analysis

General 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 and a brief cover letter outlining your biomedical/research background and hands-on experience with R/RStudio and statistical analysis to:[email protected]

📌 Biomedical Research Bioinformatician (India)
🏢 Sanius Health
📍 India