Data Analyst

Support data collection and analysis to improve clinical practices.

This opening expired 1 year ago. Do not try to apply for this job.

Application deadline 1 year ago: Friday 6 Jun 2025 at 00:00 UTC

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Overview

Support data collection and analysis to improve clinical practices.

You have:

  • Min. 1 year experience in clinical research and/or infectious diseases research. Experience working with tuberculosis (TB) research or similar infectious disease projects is preferred.
  • Experience with genome sequencing or genomics-based diagnostic projects would be an added value.
  • Experienced in handling clinical data and patient consent with good understanding of clinical workflows and patient data confidentiality. Familiarity with management of sequencing datasets and GCP compliance would be an advantage.
  • Basic knowledge of Next-Generation Sequencing (NGS) technologies (especially targeted sequencing and WGS) is preferred.
  • Skills in data management, including clinical data, sequencing metadata, and laboratory records.
  • Ability to interpret sequencing results at a clinical level (e.g., resistance mutations, variant interpretation) would be considered an added value.
  • Attention to detail and accuracy with good analytical skills in producing high-quality assurance reports and presentations.
  • Excellent skills in using office software packages and proficiency in data analysis software/tools (e.g., Excel, SPSS, R, or Python for data cleaning/processing).
  • Self-motivated with strong time management skills and ability to work under tight deadlines. Ability to work independently or with minimum supervision, as well as work as a team player.
  • Interpersonal skills; culturally and socially sensitive; ability to work and adapt professionally and effectively in a challenging and dynamic environment.

Contract

This is a UNV National Youth contract. This kind of contract is known as National UN Volunteer. It is normally only for nationals. More about UNV National Youth contracts.

UNDP Indonesia and the Ministry of Health (MoH) have been working together in a long-term partnership on health governance that is aimed at narrowing health development gaps and meeting the SDGs commitments. This partnership has been expanded with the implementation of activities under the 2020-2025 Health Governance Initiative (HEART). HEART Programmes focus on the support to strengthen Indonesia's health system capacity through policy advocacy, evidence-based generation intervention, technical assistance, and partnerships by adoptions of information technology advancement with a total program budget of approximately USD 70 million.

The HEART Programme will have two outputs: (i) By 2025, strengthened national policy and institutional environment that is governing access to affordable medicines through evidence-based and multisector collaborations. (ii) By 2025, the performance of national programmes is improved and positively impacts the coverage and the sustainability of service delivery and the health system better integrate environmental concerns in waste management practices to mitigate or limit its impact on environment(s) and prevent and reduce diseases related to climate change.

The Biomedical and Genome Science Initiative (BGSI) is MoH’s new initiative supported through HEART Programme. BGSI will act as a multi-institutional ecosystem that aims to support collaborative biomedical and genomic activities in Indonesia by leveraging strengths in technology and infrastructure including biobanking, data management, high throughput sequencing and bioinformatics. This initiative aims to build a national asset with focus on: (i) To establish a national biobank concentrate on six conditions (diabetes, cancer, stroke, TB, psoriasis, and rare/genetic diseases) which will store samples from participants where each sample will be connected to a registry that manages all information associated with the participant (demographic and clinical), and (ii) To generate Whole Genome Sequence information, that will be curated in a national database.

This UNV assignment is part of the Health Governance Initiative (HEART) Programme for BGSI.

The Data Analyst position will be responsible for supporting clinical and laboratory data across diagnostic and surveillance activities. S/he will ensure patient consent is obtained properly, clinical information is accurately recorded, sequencing results are integrated, and data are analyzed for clinical and public health implementation.

Under the supervision of the Laboratory Technician BGSI and in close coordination with Head of the Initiative Research Center for Genomic Sequencing and Biomedical RSPI Sulianti Saroso Hospital, the UN Volunteer will undertake the following tasks:

Performing data collection, data analysis and interpretation, data management and quality control as well as reporting, which includes: - Obtain and manage patient informed consent documentation. - Collect, organize, and manage clinical data related to MTB diagnosis and treatment. - Manage and curate sequencing data (tNGS/WGS) from laboratory teams. - Perform quality control of collected data to ensure completeness and consistency. - Support preliminary analysis and interpretation of tNGS results for clinical implementation. - Collaborate with clinicians, bioinformaticians, and laboratory staff to integrate clinical and sequencing findings. - Prepare datasets for reporting and publication purposes. - Ensure compliance with ethical standards and data protection regulations. - Ad hoc jobs assigned by superior(s).

​​☒​Accountability

​​☒​Adaptability and Flexibility

​​☐​Building Trust

​​☐​Client Orientation

​​☐​Commitment and Motivation

​​☒​Commitment to Continuous Learning

​​☒​Communication

​​☐​Creativity

​​☐​Empowering Others

​​☒​Ethics and Values

​​☐​Integrity

​​☐​Judgement and Decision-making

​​☐​Knowledge Sharing

​​☐​Leadership

​​☐​Managing Performance

​​☒​Planning and Organizing

​​☒​Professionalism

​​☐​Respect for Diversity

​​☐​Self-Management

​​☒​Technological Awareness

​​☐​Vision

​​☒​Working in Teams

  • Min. 1 year experience in clinical research and/or infectious diseases research. Experience working with tuberculosis (TB) research or similar infectious disease projects is preferred.
  • Having experience with genome sequencing or genomics-based diagnostic projects would be an added value.
  • Experienced in handling clinical data and patient consent with good understanding of clinical workflows and patient data confidentiality. Familiarity with management of sequencing datasets and GCP compliance would be an advantage.
  • Basic knowledge of Next-Generation Sequencing (NGS) technologies (especially targeted sequencing and WGS) is preferred.
  • Skills in data management, including clinical data, sequencing metadata, and laboratory records.
  • Ability to interpret sequencing results at a clinical level (e.g., resistance mutations, variant interpretation) would be considered an added value.
  • Attention to detail and accuracy with good analytical skills in producing high-quality assurance reports and presentations.
  • Excellent skills in using office software packages and proficiency in data analysis software/tools (e.g., Excel, SPSS, R, or Python for data cleaning/processing).
  • Self-motivated with strong time management skills and ability to work under tight deadlines. Ability to work independently or with minimum supervision, as well as work as a team player.
  • interpersonal skills; culturally and socially sensitive; ability to work and adapt professionally and effectively in a challenging and dynamic environment.

Work Location:

The position will be based in the Jakarta, home to UNDP Country Office. The cost of living is considered moderate. Basic living needs such as staple foods and household supplies, accommodation, banking facilities, medical facilities, and telecommunications/internet services are readily available. Jakarta offers various housing options. The city is known for heavy traffic congestion, but the Mass Rapid Transit (MRT), Light Rail Transit (LRT), and TransJakarta buses, along with ride-hailing services, provide effective travel solutions. Most areas are generally safe, but standard precautions against petty crime are recommended.

In day-to-day the UN Volunteer will be working in Ministry of Health Office, specifically at RSPI Sulianti Saroso Hospital Jakarta as one of BGSI’s hospital hub. Work is performed in the normal working environment in typical laboratory/hospital environment.

Gender, Inclusive and Diversity:

The Volunteer should contribute to avoiding any kind of discriminatory behavior including gender discrimination and ensuring that: • Human rights and gender equality are prioritized as an ethical principle within all actions. • Activities are designed and implemented in accordance with the “Social and Environ-mental Standards of UNDP”. • Any kind of diversities based on ethnicity, age, sexual orientation, disability, religion, class, or gender are respected within all implementations including data production. • Differentiated needs of women and men are considered. • An inclusive approach is reflected within all actions and implementations, in that sense an enabling and accessible setup in various senses such as disability gender language barrier is created. • Necessary arrangements to provide gender parity within all committees, meetings, training, etc. introduced.

Potential interview questions

Can you describe your experience with clinical data management and patient consent? This question assesses your practical skills in handling sensitive patient information. Provide examples of your previous roles where you managed clinical data and obtained patient consent.
What data analysis software are you proficient with, and how have you used it in past projects? This helps understand your technical skills and practical application of data analysis tools. Pro members can see the explanation.
Can you explain your understanding of Next-Generation Sequencing technologies? Pro members can see the explanation. Pro members can see the explanation.
How do you ensure accuracy and attention to detail in your work? Pro members can see the explanation. Pro members can see the explanation.
Describe a time you had to work under tight deadlines. How did you manage your time? Pro members can see the explanation. Pro members can see the explanation.
How do you collaborate with team members from different backgrounds, such as clinicians and bioinformaticians? Pro members can see the explanation. Pro members can see the explanation.
What ethical considerations do you take into account when handling clinical data? Pro members can see the explanation. Pro members can see the explanation.
Can you provide an example of how you’ve used analytical skills to solve a problem? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: unv.org