Job Responsibilities :
- Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
- Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information
- Knowledge of databases, data modeling, data normalization etc. is a must
- Collaborating with clients and other stakeholders to effectively integrate and communicate analysis finding
- Working with OMICs, image, med device and RWE data to power various use cases in the areas of digital trials and personalised medicine
- Evaluating emerging datasets and technologies that may contribute to our existing analytical platforms
Mandatory Skills :
- 3-7 years of experience in Data Science
- Postgraduate qualification in Statistics / Computer Science / Data Science from a premier institute
- Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc.)
- Exposure to tools - Python, R and R Shiny
- Experience with a variety of data stores such as MongoDB, Cassandra, HBase, MySQL/Postgres
- Must have experience in Agile development methods.
- Experience with DevOps tools and workflows such as Git, GitHub, Jira, Phabricator, Jenkins, or equivalents
- Experience on cloud platforms, preferably in AWS or GCP or both
- Excellent communication skills
Desired Skills :
- Docker, Kubernetes, Cloud experience would be a plus
- Health Care experience would be a significant advantage
- Experience in working with OMICs and imaging data is a plus
- Experience in TensorFlow, PyTorch and Keras is a plus
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