Statistician (AI Healthcare) Position at FriskaAi for Statistics, Data Science, and Biostatistics Graduates (Bachelor's/Master's) FriskaAi in

FriskaAi is seeking a Statistician (AI Healthcare) to join their team, focusing on the intersection of statistics, data science, and healthcare analytics. This position is ideal for recent graduates with a Bachelor's or Master's degree in Statistics, Data Science, Biostatistics, or related fields who are interested in applying their skills to clinical research, AI model validation, and digital health solutions. The role involves collaborating with research analysts on AI healthcare projects, designing clinical study frameworks, validating AI model performance, conducting clinical trials, and performing advanced statistical analyses. Candidates will also develop visualization dashboards using Power BI and ensure statistical rigor for regulatory compliance in healthcare AI solutions.

Applicants should have 0–2 years of experience in clinical trials, healthcare research, or analytics, or strong academic exposure to healthcare statistics. Essential skills include proficiency in Python, R, Power BI, and machine learning tools, as well as a solid foundation in descriptive and inferential statistics, hypothesis testing, and statistical validation. An understanding of clinical outcome analysis and a keen interest in AI, machine learning, and digital health technologies are highly valued.

The position offers a competitive salary ranging from ₹4,00,000 to ₹8,00,000 per annum (CTC), with full-time employment benefits. The work mode will initially be remote, transitioning to on-site work at the new Tirupati, Andhra Pradesh office once operational. This is an excellent opportunity for those aiming to build a career in AI healthcare, biostatistics, and clinical analytics within a collaborative, research-driven environment.

To apply, candidates should use the provided application link and ensure they meet all eligibility criteria. The opportunity is open to those passionate about leveraging statistics and data science to advance healthcare analytics and AI-driven clinical research.