Data Science Associate

0 - 2 years

2 - 6 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  1. Data Integration: Integrate and organise health and related data from multiple sources into a form usable by computational models.
  2. Modelling & Analysis: Implement statistical and mathematical approaches, including the use of differential equations, and contribute to developing robust, scalable models.
  3. Communication: Consolidate findings and prepare reports to effectively communicate insights to engineers, public health officials, and policymakers.
  4. Development: Work closely with data and engineering teams to develop data pipelines, data visualisations, and integrate these into a comprehensive dashboard.
  5. Innovation: Research, use, and develop AI-based tools to accelerate model development and improve the equity and accessibility of disease modelling.
  6. Collaboration: Collaborate with other software engineers and researchers to share knowledge, ideas, and promote best practices.
  7. Interdisciplinary Solutions: Cross-pollinate solutions from computer science, dynamical systems, economics, physics, and computational biology to solve complex problems in health and development.
Required Qualifications:
  1. Education: A Master s or PhD in computer science, engineering, mathematics, physics, computational biology, or a related quantitative scientific discipline.
  2. Programming Skills: Demonstrated proficiency in Python, R, or Julia, with proven experience implementing numerical methods and scientific simulations.
  3. Mathematical Modelling: A solid grasp of how general mathematical models (SD, ABMs) function and comfort with applied and computational mathematics.
  4. Data Handling: Proven experience in handling and analysing large, complex data sets.
  5. Research Acumen: Experience reviewing scientific literature, for instance, in a prior research project in ecology or a related field.
  6. Adaptability: The ability to thrive and adapt in a fast-paced research environment.
  7. Growth Mindset: A willingness to learn, engage with new challenges, and a demonstrated ability to quickly become proficient with new programming packages, tools, and technologies.
  8. Desired Knowledge: Prior knowledge of computational/statistical methods or epidemiological concepts is highly desirable.

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