Research Analyst (foresight Modelling)

Bayan Lepas, Pulau Pinang, Malaysia

Job Description


About WorldFish

\xe2\x80\x9cWorldFish is a leading international research organization working to transform aquatic food systems to reduce hunger, malnutrition, and poverty. It collaborates with international, regional, and national partners to co-develop and deliver scientific innovations, evidence for policy, and knowledge to enable equitable and inclusive impact for millions who depend on fish for their livelihoods. As a member of CGIAR, WorldFish contributes to building a food- and nutrition-secure future and restoring natural resources. Headquartered in Penang, Malaysia, with country offices across Africa, Asia, and the Pacific, WorldFish strives to create resilient and inclusive food systems for shared prosperity. For more information, visit: \xe2\x80\x9d

About the Position

WorldFish is seeking a dynamic research analyst to provide technical support to the foresight modelling team. Quantitative foresight modelling and supply-demand analysis are crucial for understanding inter-linked challenges and interactions of fish production, consumption and trade to provide recommendations for fisheries and aquaculture development planning and policy making. This research area is supported by the One CGIAR initiative and other bilateral projects.

The successful candidate will work with project leaders and researchers in the team to conduct data collection and analysis for fish foresight modelling and scenario analysis to inform public and private sector in aquaculture and fisheries policies and investments planning, and to develop and apply novel/internet-based tools, methods, and models for assessment.

Key Responsibilities

  • Support semi-independently and independently the foresight modelling team in econometric analysis and modeling.
  • Be responsible for collecting, validating, and analyzing data with high accuracy.
  • Conduct literature review and document literature for modeling and analysis purposes.
  • Coordinate with team members, collaborators and partners in both science and project management aspects.
  • Conduct primary data collection using online data collection tools (ODK) for statistical research.
  • Plan and conduct stakeholder consultation workshops, capacity building training courses, and other activities related to research, development and technology transfer (both science and management aspects).
  • Assist in drafting presentations for workshops, conferences, and meetings.
  • Collect and analyze data and contribute to writing reports and drafting papers for scientific publication.
Requirements
  • Bachelor\xe2\x80\x99s or Master\xe2\x80\x99s Degree in an appropriate field of social science (economics, agricultural economics, environmental economics, agriculture/fisheries and aquaculture, statistics), or any related field.
  • Intermediate knowledge in using either STATA, GAMS, R, Matlab, Python, database software, and Microsoft Office applications.
  • Excellent data mining, quantitative analysis, and econometric skills.
  • Demonstrated ability to perform in-depth quantitative and statistical analysis and good data reporting skills, with a high level of attention to detail and accuracy.
  • Knowledge of mobile data collection tools using Open Data Kit (ODK), KOBO toolbox, or other data collection platforms.
  • Knowledge of data visualization using GIS software, e.g. QGIS, ArcGIS, etc.
  • Experienced in conducting literature reviews of academic publications, research reports, etc.
  • Support report and manuscript writing for quality output delivery.
  • Excellent written and verbal English communication skills.
Desirable Skills/Experience
  • Able to multitask, work within deadlines and with minimum supervision.
  • Strong organizational skills, hardworking with a good work ethic.
  • Excellent interpersonal skills and to work in a team-oriented multi-cultural environment.
Benefits

This is a Nationally Recruited Staff (NRS) position and WorldFish offers a competitive remuneration package including comprehensive benefits (but not limited to) insurance coverage for staff and eligible dependents, employer provident fund contribution, paid leave, and others. The duration of the contract will initially be for a one-year period with possibility for extension, depending on funding and performance.

Your application must include:
  • A copy of your curriculum vitae,
  • A cover letter which addresses key requirements stated above; and
  • Contact information of three professional referees who may be contacted if you are short-listed for the position.
To be considered, applications must be submitted by no later than 24:00 (MYT), 15 February 2024.

Location: The post holder will be based in Penang, Malaysia. This position will involve international travel.

The screening will start immediately and will continue until the position is filled. Due to the high volume of applicants for WorldFish positions, we appreciate all interest, but only short-listed candidates will be contacted.

Our Gender, Diversity, and Inclusion Commitment

WorldFish has seven offices across Asia, Africa, and the Pacific, with more than 400 staff and 27 nationalities who contribute to a dynamic multicultural work environment.

WorldFish is committed to promoting a work environment where diversity and inclusion is valued, and we seek to have gender balance in the organization. We aim to also seek balance across other diverse dimensions.

People in WorldFish are treated equally irrespective of gender, ethnicity/race, national or social origin, disability, religion, political affiliation, age, family size, marital status, or any other form of personal identity.

We are an equal opportunities employer and strongly encourage qualified women and men from developing nations to apply.

WorldFish

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Job Detail

  • Job Id
    JD1008061
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bayan Lepas, Pulau Pinang, Malaysia
  • Education
    Not mentioned