Job Description

Role & responsibilities What You'll Do: Analyse and integrate clinical and multi-omics datasets (e.g., genomics, proteomics) to extract actionable insights. Develop and validate predictive models for biomedical research and biomarker discovery. Apply Design of Experiments (DOE) and statistical methods to support research objectives. Build interactive web applications using Streamlit or R Shiny for data visualization and exploration. Ensure reproducibility, code quality, and adherence to industrialized coding best practices using Git/GitHub. Collaborate with cross-functional teams including bioinformaticians, data engineers, and clinicians. Document analysis workflows, methodologies, and results in a clear and structured manner. Communicate findings through reports, dashboards, and presentations to technical and non-technical stakeholders. Technical Skills Programming & Tools: R (Tidyverse), Python (pandas, NumPy, scikit-learn) Streamlit or R Shiny for web application development Git/GitHub for version control and code management GCP What You Need: Data Science & Modeling: Exploratory Data Analysis (EDA), Statistical Modeling, Predictive Modeling Clinical data interpretation and Omics data integration Design of Experiments (DOE), Reproducibility & Repeatability Data visualization (ggplot2, matplotlib, seaborn, etc.) You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.