1. POSITION VACANT: Data Analyst, FIND, Anywhere in India

2. ORGANIZATION BACKGROUND:

FIND was established in India as an independent non-profit created under Section 8 (Indian) Companies Act, 2013 with its office in New Delhi. The organization is dedicated to activities that result in: 1) new diagnostic tools; 2) expanded access to these tools; and 3) strengthened diagnostic testing capacity for poverty-related diseases. FIND has several projects in TB, Hepatitis C (HCV), COVID-19, Malaria, fever, and Antimicrobial Resistance (AMR). 

FIND is supporting the NTEP lab network through continued sustenance of service delivery and expansion of NTEP’s diagnostic capacity for Drug Resistant-TB through development of 20 new C-DST labs, operationalization of genome sequencing equipment, and scaling up of the LIMS to all C-DST labs.

One of the strategic pillars in the NTEP’s national strategic plan (NSP) is “Detect” which focuses on creating a comprehensive, high-quality TB diagnostic network to accurately and rapidly diagnose TB and link the patients with appropriate and timely treatment. The patient pathway analysis has highlighted the frequent disconnect between the availability and placement of diagnostic services and patient care-seeking behaviour. Network design that is better aligned with patient health-seeking behaviour is expected to help alleviate barriers to care and will assist governments and donors to improve the efficiency of investments and service delivery.

Under the project, FIND will work to scale up the diagnostic network optimization exercise to cover 10 large states across the country which contribute to a majority of the testing volumes. These include Uttar Pradesh, Maharashtra, Rajasthan, West Bengal, Tamil Nadu, Haryana, Odisha, Telangana, Jharkhand, and Chhattisgarh.

The key activities and outputs under the project will include:

1. Coordinating collection of data from the identified districts in the State related to the location of the Cartridge Based Nucleic Acid Amplification Test (CBNAAT), TrueNat, their current capacity and utilisation, patient flow, and status of sample referral systems.
2. Optimizing the placement of existing CBNAAT and TrueNat devices in the public sector testing sites.
3. Estimate future demand for testing as upfront CBNAAT/NAAT is expanded to all newly diagnosed TB patients.
4. Map the location and capacity of TB diagnostic testing services in selected private sector labs and propose engagement models and referral patterns to optimize overall network efficiency and increase patient access to diagnosis.
5. Recommend the optimal sample referral network design from a health facility to a molecular testing site, plus on-referral for Culture (C)/Drug Susceptibility Testing (DST)/Linear Probe Assay (LPA) using a multi-stop estimation method.

For more information about the organization, please visit http://www.FINDdx.org/

2. JOB DESCRIPTION/ RESPONSIBILITIES:

The Data Analyst will work with FIND’s implementation team and identified partners in the 10 identified states to support the implementation of diagnostics network optimization projects aimed at increasing access to diagnostic services in these states and to inform new diagnostics development and roll-out strategies.

The Data Analyst will be expected to use analytical and quantitative methods to understand, predict and enhance processes to optimize access to health diagnostic services and communicate their outputs using data visualization and detailed reports.

Key Job Responsibilities:

(1) Independently work on one or more analytical tools like Excel, R, Python, SQL, and Tableau for analysing data sets and presenting findings related to national health programmes and diagnostic networks;
(2) Expected to understand, test and troubleshoot SAAS tools being developed for optimizing diagnostics networks;
(3) Become proficient in and independently utilize the open-access OptiDx tool developed by FIND and partners, for building and analysing country models for diagnostic network strengthening;
(4) Support the use of the OptiDx tool and contribute to enhancement of its parameters, to help optimize diagnostic networks by national disease programs and implementing partners;
(5) Work with national disease programs and partners to define and identify relevant national data sources to support the objectives of diagnostic network optimization projects;
(6) Provide training and coaching support to officials of national disease programs and partners, around data collection, data cleaning, and data validation;
(7) Collect, compile, and interpret national data relevant to the diagnostic network optimization project objectives (demand patterns, costs, productivity, etc.);
(8) Assess available data, identify data gaps and limitations, and proactively suggest and implement approaches to clean and integrate data. Suggest assumptions to fill identified data gaps along with justification for them;
(9) Identify, analyse, and interpret trends or patterns from the national data and share reports with relevant project stakeholders;
(10) Provide data analysis support for the writing of publications and scientific presentations;
(11) Undertake any other task assigned by the Supervisor/ Line Manager, based on organizational requirements.

3. QUALIFICATIONS, EXPERIENCE, AND COMPETENCIES:

Qualification and Experience

(1) Applicants must have a bachelor’s degree or (Master's degree preferred) in biostatistics with a strong data element, computer science, information management, data science, and analytics, or related data-intensive field;
(2) Minimum two to five years relevant experience working with large data sets in data management and/or data analytics roles including independently handling data collation, cleaning, validation, and analysis;|
(3) Previous experience in analysing national/State health systems data preferably in India;
(4) Experience with databases like MS SQL Server & automation using Python/VBA would be an added advantage;
(3) Ability to independently learn the use of various data management software would be an added advantage.

Skills and Competencies

(1) Advanced problem-solving, analytical, and quantitative skills, including significant experience working with Excel;
(2) Ability to select the right tool for analyses e.g. quick analyses using MS Excel, or more detailed analyses using statistical software such as R or Python. Ability to present insights in easily understood data visualizations using software such as Tableau;
(3) Willingness to expand knowledge base and take on new topics;
(4) Work well in teams of multi-cultural backgrounds, effective communication;
(5) Superior problem-solving skills and detail-oriented;
(6) Represent the FIND strategy and goal of being an honest, transparent broker in the global health field;
(7) Strong interpersonal, written, and verbal communication skills. Team oriented;
(8) Fluent in written and spoken English;
(9) Available for up to 30% travel, pending lifting of travel restrictions.

4. COMPENSATION OFFERED:

The gross remuneration budgeted for the position is attractive and shall be commensurate with the qualifications, experience, and salary history, of the selected candidate.

5. LOCATION: Anywhere in India, the selected candidate shall work remotely (work from home) and participate in online and offline meetings.

6. CONTRACT TYPE AND PERIOD: 

The selected candidate shall be initially offered a fixed-term employment contract till March 31, 2024. The contract will be extended thereafter subject to satisfactory performance, project extension, and fund availability.

 
6. REFERENCE: DA-NODE-FIND

7. CONTACT INFORMATION:

Team SAMS
Strategic Alliance Management Services P Ltd.
1/1B, Choudhary Hetram House, Bharat Nagar 
New Friends Colony, New Delhi 110 025
Phone Nos.: 011- 4081 9900; 4165 3612
 

8. APPLICATION PROCESS:

Eligible candidates interested in the position are requested to apply using the link https://recruitment.samshrm.com/JOBS/FIND by or before May 10, 2023.