Job Views:  
381
Applications:  60
Recruiter Actions:  3

Posted in

IT & Systems

Job Code

993392

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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Job Views:  
381
Applications:  60
Recruiter Actions:  3

Posted in

IT & Systems

Job Code

993392

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