IIPH - Assistant Professor (PHFIIPHS-2026-AP-004) (Bengaluru/Hyderabad/Bhubaneswar)

Position Code: PHFIIPHS-2026-AP-004

Position Title: Assistant Professor  

No. of Positions: 01

Location: Hyderabad/Bengaluru/Bhubaneshwar

Duration of Position: Initially for 1 year, extendable based on the position requirement  

Brief on the Organization: 

The PHFI Institute of Public Health Sciences (PHFI–IPHS), Deemed to be University, is India’s premier institution dedicated exclusively to advancing education, research, and practice in public health notified under the Distinct Category of UGC (Deemed to be Universities) Regulations 2024.  Rooted in the distinguished legacy of the Public Health Foundation of India (PHFI), the University builds upon more than a decade of pioneering work carried out by the Indian Institutes of Public Health (IIPHs) established across the country. The Deemed University currently encompasses the campuses at Hyderabad, Bengaluru, and Bhubaneswar, while PHFI’s other institutes — including IIPH Gandhinagar, IIPH Delhi, and IIPH Shillong — continue to strengthen the broader national public health network.  Together, these institutions form a pan-India ecosystem of teaching, research, capacity building, and policy engagement. Supported by a distinguished national pool of faculty, researchers, and practitioners, PHFI–IPHS draws on the collective expertise and experience of India’s leading public health professionals to address the country’s evolving health challenges.  PHFI–IPHS currently offers postgraduate programs and specialized training designed to equip students with the knowledge, analytical skills, and leadership required to strengthen health systems and promote equity in health at local, national, and global levels.  Guided by PHFI’s vision of “a healthier India through stronger public health systems”, the University remains committed to advancing evidence-based education, fostering innovation, and nurturing the next generation of public health leaders.  

Job Requirements: 

• Health Data Science Teaching & Programming skills 
• Proficient in programming languages including Python, R, SQL, and foundational Java/JavaScript for data analytics, automation, and visualization applications.  
• Skilled in the use of major data science libraries and frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch for machine learning and AI-based solutions.  
• Capable of teaching and mentoring students in core data science domains, including:  
• Data preprocessing, transformation, and cleaning  
• Statistical analysis and interpretation  
• Machine learning principles and algorithms  
• Data visualization and interactive dashboard development  
• Predictive analytics, model building, and performance evaluation
• Experienced with academic and industry-relevant platforms and tools, including Jupyter Notebook, Google Colab, Tableau, Power BI, and Apache Spark.  
• Ability to support laboratory sessions, coding exercises, assignments, capstone projects, and hands-on practical training for undergraduate and postgraduate programs.  
• Strong understanding of Artificial Intelligence and Machine Learning concepts such as supervised learning, unsupervised learning, deep learning, feature engineering, and model validation techniques.  
• Familiar with collaborative and cloud-based learning ecosystems including GitHub, AWS Academy, and Google Cloud Skills Boost platforms. 

Teaching skills 

• Develop and deliver lectures, tutorials, seminars, and practical sessions in Biostatistics, Data Management, Epidemiology, and related subjects for Public Health students.  
• Teach core areas including descriptive and inferential statistics, epidemiological methods, research methodology, data analysis, and interpretation relevant to public health practice and research.  
• Provide statistical and methodological support to faculty members and students, including study design, sample size estimation, data management, statistical analysis, and interpretation of findings.  
• Design, undertake, and contribute to independent as well as collaborative research projects in the areas of Biostatistics, Epidemiology, Data Science, and Public Health.  
• Contribute to curriculum development, academic review, course planning, and innovation in teaching methodologies related to Biostatistics, Epidemiology, and Data Management.  
• Perform any other responsibilities assigned by the Supervisor/Head of Department from time to time. 

Qualification and Experience 

Essential: 

A Master’s degree in Biostatistics/Statistics, Epidemiology, or Public Health (MPH with a strong Biostatistics and/or Epidemiology component) with at least 55% marks (or an equivalent grade on a point scale wherever the grading system is followed) in a relevant or allied subject from an Indian university, or an equivalent degree from an accredited foreign university. 

• Besides fulfilling the above qualifications, the candidate must have cleared the National Eligibility Test (NET) conducted by the UGC, CSIR or similar test accredited by the UGC like SLET/SET or who are or have been awarded a Ph.D. Degree in accordance with the University Grants Commission. 

Provided further, candidates registered for the Ph.D. programme prior to July 11, 2009, shall be governed by the provisions of the then existing Ordinances / Bye- laws / Regulations of the Institutions awarding the degree and such Ph.D. candidates shall be exempted from the requirement of NET/SLET/SET for recruitment and appointment of Assistant Professor or equivalent positions, subject to the fulfillment of the following conditions: - 

a) Ph.D. degree of the candidate awarded in regular mode only; 

b) Candidate has published two research papers from his/her Ph.D. work out of which at least one must be in a refereed journal; NET/SLET/SET shall also not be required for such Masters Programmes in disciplines for which NET/SLET/SET is not conducted by the UGC, CSIR or similar test accredited by the UGC like SLET/SET. 

Desirable  

• Experience in Data science work 
• Ph.D. in Biostatistics / Statistics / Epidemiology / Public Health  
• Evidence of research publications, preferably including publications from Ph.D. work, with at least one in a refereed journal  
• Experience in data analysis using statistical software such as R, STATA, SPSS, or Python  
• Experience in teaching, research, or handling public health datasets 
• Experience in guiding postgraduate students. 

Process to apply: Please note that Annual Salary (CTC) will commensurate with available skills and fitment of the incumbent as per the selection process.  

Interested and eligible candidates may send their updated CV to vacancies@iiphh.org and fill the application form: https://forms.gle/KZiVjvspMYJPB5bL8  

Please mention the exact Position name Assistant Professor and Position Code (PHFIIPHS2026-AP-004) in the email subject line. Only shortlisted candidates will be contacted for the interview. Last Date of Receipt of Applications:  08 June 2026 

For more details: https://iiphh.org/work-with-us/

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