Live opening · Posted 2 days ago

Intern Biostatistician

SK AI Pvt Ltd · Udupi, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanySK AI Pvt Ltd
LocationUdupi, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed2 days ago

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About the role

Description supplied by the original job listing.

Company Description SK AI Pvt Ltd is a technology company focused on creating next-generation, AI-based solutions with meaningful real-world impact. The organization is primarily dedicated to Health Tech, developing tools that enhance healthcare delivery and outcomes. Team members collaborate across disciplines to apply advanced artificial intelligence and data science to complex health challenges. The company values innovation, ethical use of technology, and a mission-driven approach to making the world better for all.
Role Description This is an on-site role for an Intern Biostatistician. The intern will support the design and analysis of health-related studies by applying statistical methods to real-world and clinical data. Day-to-day tasks include co-ordinating data collection from various departments of Manipal University's hospital divisions, regularly meet with department heads, data owners, collecting and cleaning and health/medical datasets, running statistical analyses, generating visualizations, co-ordinate regulatory documentation, and submissions, co-ordinate data collection, application development with Manipal team, company's management, engineers and assisting in the interpretation of results under the guidance of senior team members. The role may also involve contributing to technical documentation, reports, and presentations that communicate findings to technical and non-technical stakeholders. The intern will collaborate with data scientists, clinicians, and engineers to help develop AI-driven health solutions while gaining exposure to practical applications of biostatistics.
Qualifications
Strong foundation in Statistics and Survival Analysis, with the ability to apply appropriate methods to health-related data.
Competence in Statistical Programming using tools such as Python, healthcare/ Life Sciences Ontology, and experience working with Statistical Software.
Well-developed Analytical Skills, including problem-solving, data interpretation, and attention to detail.
Recent completion of a degree program in Biostatistics, Statistics, Epidemiology, Data Science, or a related quantitative field.
Familiarity with health or clinical data and basic understanding of study design and research principles is an advantage.
Ability to work independently in a remote environment, manage time effectively, and communicate clearly in written and spoken English.
Interest in AI and Health Tech, with a willingness to learn new tools, methods, and domain knowledge.

Work arrangement
No

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