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NATIONAL INSTITUTE OF MEDICAL STATISTICS (Indian Council of Medical Research) Ansari Nagar, New Delhi 110029

Comparing Methods of Assigning Causes of Death

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National Institute of Medical Statistics, ICMR, New Delhi is undertaking a study entitled “Comparing methods of assigning causes of death” with collaborative funding from Ministry of Health & Family Welfare and World Health Organization with the objectives to field test the implementation of WHO harmonised international standard verbal autopsy (VA) questionnaires in the Indian context; to assess and compare the validity of different techniques (PCVA and CCVA) for assigning causes of death from WHO harmonised VA questionnaires, using the medical record based diagnoses for the select hospital deaths as reference values for validation of VA diagnoses for the same deaths from each of the different techniques; and to conduct VA and assign COD in select rural areas with the help of existing health infrastructure and recommend a suitable methodology for a routine national VA programme to ascertain causes of death in India.

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Applications are invited from the eligible candidates in the prescribed format for the following indicative posts under the above mentioned research project:1. 2. 3. 4.

Consultant (Medical) Computer Programmer (Grade A) Project Assistants Data Entry Operator (Grade A)

Name of the Post Essential Qualification

Desirable Qualification Emoluments Job description

Duration Age

-1 -1 -30 -1

(8 months) (6 months) (6 months) (9 months)

Consultant (Medical) 1 (One) Professionals with MD/MS or PhD in Medical Science and published papers OR Retired Government employee with requisite educational qualification drawing pay in the pay band of Rs.15,600-39,100 plus Grade pay of Rs.6,600/- at the time of retirement and having adequate working experience in the required domain/field. Having an experience to review the case records and assigning cause of Death. Rs.75,000/- p.m. Visiting of hospitals/medical colleges. Review of the case records and assigning cause of death. Assisting the Principal Investigator in the project work. 8 months 70 years

Desirable Qualification Emoluments Job description

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Duration Age

Computer Programmer (Grade A) 1 (One) Master’s degree in Computer Application, Information Technology, Computer Science from a recognized University or BE/B.Tech in Computer Engineering/IT/Computer Science/Computer Technology, from a recognized University. Knowledge of handling Tablet PC as computer assisted personal interviewing (CAPI) Rs.30,000/- p.m. Maintain health information system of the project; operate Tablet PC as computer assisted personal interviewing (CAPI), its bugs removal, data retrieval and management etc. 6 months 30 years

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Name of the Post Essential Qualification

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Name of the Post Essential Qualification

Desirable Qualification Emoluments Job description Duration Age

Name of the Post Essential Qualification Desirable Qualification Emoluments Job description Duration Age

Project Assistant 30 (Thirty) Graduate in Statistics/Social Science/Social Work from a recognized university with Three years experience in health survey OR Master degree in Statistics/Social Science/Social Work. Experience of handling Tablet computer assisted personal interviewing (CAPI) Rs.29,000/- p.m. To collect information in the verbal autopsy questionnaire in CAPI/printed proforma by interviewing the respondents. 6 months 30 years.

Data Entry Operator (Grade A) 1 (One) 12th Pass from recognized board. A speed test of not less than 15000 key depressions per hour through speed test on computer. Experience of entering health data in computer Rs.16,000/- p.m. Data entry work as required in the project. 9 months 25 years.

General terms & conditions for the posts are as follows:1

Since the posts are purely temporary, the incumbents selected will have no claim for regular appointment under ICMR or continuation of his/her services in any other project. 2. The appointment is terminable with one month notice period from either side without assigning any reason and the tenure would be reviewed periodically on the basis of performance and suitability. 3. No other allowance/facilities other than consolidated salary shall be extended during the entire period of the project. 4. Age relaxation is admissible in respect of SC/ST/OBC candidates, Retrenched Government Employees, Departmental Candidates (including project), and Ex-servicemen in accordance with the instructions issued by the Central Government time to time. A ge concession to the

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10. 11. 12. 13.

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5. 6. 7. 8.

extent of service rendered in other research projects will also be admissible for experienced and skilled persons. Leave shall be as per Institutional policy for project staff. Reservation for SC/ST/OBC will be as per Govt. of India norms. No TA/DA etc. will be given to attend the written test/interview. Qualification and experience should be from a recognised university/organization/ institution. Canvassing in any form will be a disqualification and the decision of the Selection Committee will be final. Experience should have been gained after acquiring the minimum essential qualification. Mere fulfilling the essential qualification does not guarantee the selection. Director, NIMS, reserves the right to consider or reject any application/candidature. Submission of wrong or false information during the process of selection shall disqualify the candidature at any stage.

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Interested candidates possessing the requisite qualification and experience may apply in the given format and send by post to The Director-in-Charge, National Institute of Medical Statistics, Indian Council of Medical Research ( ICMR), Near AIIMS, Ansari Nagar, New Delhi-110029 by 10th April, 2017. Application received after the last date or incomplete in any manner will be summarily rejected without any intimation. After scrutiny, eligible candidate names will be displayed on the web site and will be required to appear for the written test/interview with all original documents & one set of attested copies.

Director-in-charge National Institute of Medical Statistics