- Posted a month ago
- Over 200 applicants have applied
Job Description
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.)
More Info
Key Skills
About Company
Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
