Consultant- Project Research Scientist-II (Non-Medical)

Public Health Career

Karnataka

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+
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Job summary

Public Health Foundation of India (PHFI) invites a Consultant- Project Research Scientist-II (Non-Medical) in Bengaluru to support IPD harmonisation, advanced statistical analysis and interpretation of findings. You will contribute to manuscript preparation and grant proposals, coordinating with funders and partner institutions.

The role focuses on data harmonisation, SQL-like coding standards, reproducible analyses in R, and communication of results to scientific audiences in maternal and child

Qualifications

  • Master’s degree in Public Health, Epidemiology, Biostatistics, Life Sciences or related field.
  • Experience in health research, epidemiology and data management.
  • Proficiency in statistical software (R/Stata/SPSS) and manuscript preparation.

Responsibilities

  • Support IPD harmonisation, data management and statistical analysis.
  • Develop statistical analysis plans aligned with study objectives.
  • Prepare scientific manuscripts, abstracts, and presentations.
  • Coordinate with funders and study partners on progress and deliverables.
  • Develop and maintain reproducible analytical code and data dictionaries.
  • Ensure data quality and validation across datasets.

Skills

Quantitative analysis
R programming
Data quality assurance
Reproducible code
Scientific writing
Grant proposals
Funder coordination
Multi-site coordination
Project management
Communication
Interpersonal skills

Education

Master’s degree in public health/epidemiology/biostatistics
PhD or equivalent (desirable)

Tools

R
Stata
SPSS

Job description

Position Code : PHFI-CNST-2679

Position Title : Consultant- Project Research Scientist-II (Non-Medical)

No. of Positions : 1

Location : Bengaluru

Duration of Position : 01 Year or co-terminus with the project, whichever is earlier

Brief On The Organization:

The Public Health Foundation of India (PHFI) is working towards building a healthier India. It is helping to address the limited institutional and systems capacity in India by strengthening education and training, advancing research and technology and facilitating policy and practice in the area of Public Health. PHFI is headquartered in New Delhi with national presence through its constituent units of regional Indian Institutes of Public Health (IIPHs) and Centers of Applied Research in core public health themes. The Foundation, established in 2006 as a public private initiative, is governed by an independent board comprising of senior government officials, eminent Indian and International academic and leaders, civil society representatives and corporate leaders. For more information, please visit the website www.phfi.org.

Project Brief:

The project, IPD Analysis of Hypothyroidism in Pregnancy: Prevalence, Risk Factors and Maternal and Fetal Outcomes in India, funded by the Indian Council of Medical Research (ICMR), will undertake an individual participant data analysis to examine the prevalence and determinants of hypothyroidism during pregnancy and its association with maternal and fetal outcomes.

The project involves collaboration and coordination with participating studies and institutions, including harmonisation and management of participant-level data, data analysis, quality assurance and synthesis of findings to generate evidence relevant to maternal health in India.

Job Summary:

The Project Research Scientist-II (Non-Medical) will support the PI and research team in the scientific, analytical and operational implementation of the project. The position will provide technical expertise in IPD harmonisation, statistical analysis and interpretation of findings, while also supporting manuscript and grant proposal development, coordination with funders and study partners, and project-related meetings and activities.

Deliverables:

The major duties and responsibilities will include:

  • Research and analysis support
  • Support the PI and research team in the planning, implementation and scientific oversight of project activities.
  • Support the harmonisation, management and analysis of individual participant data (IPD) across datasets received from participating studies and collaborating institutions.
  • Assist in developing and implementing data harmonisation frameworks, including variable definitions, coding systems, data dictionaries and quality assurance procedures.
  • Development of statistical analysis plans aligned with the study objectives and research questions.
  • Perform exploratory data analysis, descriptive and inferential statistics, and regression modelling, as appropriate to the research questions and under the guidance of the PI.
  • Use statistical software, including R, to conduct analyses, generate reproducible outputs and produce meaningful data visualisations.
  • Develop, maintain and document code scripts for data cleaning, manipulation, harmonisation and statistical analyses.
  • Participate in quality control and validation of datasets, analytical procedures and statistical outputs to ensure the accuracy, consistency and reliability of findings.
  • Generate, review and interpret tables, figures, statistical outputs and other analytical summaries.
  • Contribute to the interpretation of research findings and support the preparation of scientific manuscripts, abstracts, presentations and other research outputs.
  • Support literature reviews and evidence synthesis relevant to the project.
  • Support the PI in ensuring adherence to study protocols, ethical requirements, data confidentiality and institutional policies governing the management and analysis of participant-level data.
  • Support the preparation, revision and submission of manuscripts to peer-reviewed journals, including responding to editorial and reviewer comments as required.
  • Support the development and submission of grant proposals, including literature reviews, preparation of technical sections, budgets, timelines and other required application materials.
  • Preparing project documents and reports
  • Support the PI and research team in preparing technical reports, progress reports, scientific manuscripts, abstracts, presentations and other project outputs.
  • Co-ordinate preparation of documentation required by the funder, collaborating institutions and relevant regulatory/ethics bodies.
  • Contribute to the development of study protocols, analysis plans, data management documents and other technical project documentation.
  • Support preparation of project updates, briefing materials and scientific communication outputs.
  • Co-ordination with funders and study partners
  • Attend regular funder meetings, provide updates on project progress, timelines, deliverables and emerging technical issues.
  • Co-ordinate with participating institutions regarding data sharing, data harmonisation, variable clarification, data queries and resolution of discrepancies.
  • Follow up on timelines, deliverables and technical requirements with study partners to ensure timely completion of project activities.
  • Support communication with funders regarding project progress, milestones, deliverables and emerging technical issues.
  • Participate in and support investigator and partner meetings, including preparation of agendas, presentations, progress updates and meeting materials.
  • Events and co-ordination
  • Support the organisation and co-ordination of workshops, meetings, training programmes, investigator meetings and other project events.
  • Assist with logistical and technical coordination for meetings with funders, study partners and other stakeholders.
  • Support co-ordination across the research team to ensure timely implementation of project activities and deliverables.
  • Undertake other research, analytical and project coordination responsibilities assigned by the PI, Co-PI, or project leadership.
  • Any other activities as delegated by the PI/Co-PI
Qualification:
Essential:
  • Master’s degree in Public Health, Epidemiology, Biostatistics, Statistics, Life Sciences, Health Sciences or a related discipline from a recognised university/institution.
Desirable:
  • PhD or equivalent advanced training in Public Health, Epidemiology, Biostatistics, Statistics, Life Sciences or a related field
Experience
Essential:
  • 5 years of work experience.
  • Relevant experience in health research, epidemiology, data management, statistical analysis or research coordination.
  • Strong understanding of research methods and quantitative data analysis.
  • Proficiency in statistical software such as R, Stata or SPSS.
  • Good scientific writing, communication and organisational skills.
Desirable:
  • Experience with individual participant data (IPD), pooled analyses, multi-site studies or data harmonisation.
  • Experience working with large or complex health research datasets.
  • Experience co-ordinating with multiple study sites, investigators, funders or research partners.
  • Experience in preparing scientific manuscripts, technical reports, funder reports and presentations.
  • Experience with maternal and child health, pregnancy-related research or other population health research would be desirable.
  • Experience in project management and co-ordination of multi-institutional research projects.
SKILLS & COMPETENCIES:
  • Quantitative and statistical analysis
  • Statistical programming, particularly R
  • Data quality assurance and validation
  • Development of reproducible analytical code
  • Scientific writing and manuscript preparation
  • Grant proposal development and submission
  • Funder and stakeholder coordination
  • Multi-institutional research coordination
  • Project management and documentation
  • Scientific communication and presentation
  • Strong analytical, organisational and interpersonal skills

Please note that Consultancy Fee will commensurate with available skills and fitment of the incumbent as per the selection process.

Last Date of Receipt of Applications: 15 September 2026.

PHFI reserves the sole right to alter/modify/cancel the entire selection process or the position or the vacancy or to disqualify any candidature at any stage of the selection process.

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