(RFP301405) ASSISTANT II STATISTICIAN TEMPORARY (INTERNAL & EXTERNAL ADVERT) , ARUSHA TANZANIA

ASSISTANT II - STATISTICIAN TEMPORARY - (INTERNAL & EXTERNAL ADVERT)

THE ORGANIZATION

The Alliance of Bioversity International and CIAT delivers research-based solutions that harness agricultural biodiversity and sustainably transform food systems to improve PEOPLES lives. Alliance solutions address the global crisis of malnutrition climate change biodiversity loss and environmental degradation.

The Alliance works with local national and multinational partners across Latin America and the Caribbean Asia and Africa and with the public and private sectors. The Alliance is part of CGIAR a global research partnership for a food-secure future dedicated to reducing poverty enhancing food and nutrition security and improving natural resources and ecosystem services.

About the position

The Temporary Statistician will provide statistical support to Bean Program by measuring and analyzing research data ensuring data quality and preparing statical reports to support breeding decisions. The incumbent will work closely with scientists researchers and technicians to generate accurate timely and reliable statistical analyses for field trials and research activities.

The Temporary Statistician is responsible for planning managing analyzing and interpreting experimental survey data generated from breeding research activities. The position supports research teams through statistical methodologies database management data quality assurance and preparation of technical reports. The role contributes to scientific publication within the Bean Breeding Program at National and regional levels.

Key Duties & Responsibilities

• Collaborate with Alliance scientists and external research partners on Statistical analysis and research planning.
  
• Work Closely with Bean Breeders researchers technicians data managers and project coordinators.
  
• Provide technical support on experimental design and data analysis to project teams.
  
• Participate in project meetings scientific discussions workshops and capacity building activities.
  
• Communicate statistical findings through presentations reports and technical documentations.
  
• Help with data management processes including data collection entry cleaning validation storage and reporting.
  
• Develop and improve data management systems and standard operating procedures for breeding trials and crossing activities.
  
• Ensure data quality consistency traceability and accessibility across breeding experiments and locations.
  
• Perform GxE analysis combined analysis GGE biplots and yield performance evaluations for genotype selection and advancement.
  
• Prepare and supervise field layouts for planting crossing blocks nurseries and breeding trials to ensure proper experimental design and implementation.
  
• Coordinate and involve in field operations and work closely with field technicians to ensure accurate trial establishment and data collection.
  
• Manage and involve in crossing activities including planning monitoring harvesting of F1 F2 F3 crosses advancement of breeding populations and proper documentation of breeding progress.
  
• Maintain accurate records of crossing activities nursery advancement harvested materials and seed inventory.
  
• Work closely with breeders researchers and technical teams to solve breeding data challenges and improve research workflows.
  
• Perform any other statistical duties assigned by the supervisor.
  

• Bachelors degree in Statistics Biostatistics Mathematics Data Science Agricultural Statistics or related quantitative field.
  
• At least 1-2 years of professional experience in statistical analysis preferably within agricultural research or related fields
  
• Experience analyzing experimental and survey data.
  
• Experience supporting research projects using statistical software.
  
• Experience working with Multidisciplinary research teams is desirable.
  
• Knowledge of CGIAR or international agricultural research environments is an added advantage.
  

Technical Competencies

• Strong Knowledge of Statistical methods and experimental design
  
• Proficiency in R and other Statistical software.
  
• Excellent data management and quality assurance skills.
  
• Experience with database management and data visualization.
  
• Ability to analyse large datasets and interpret statistical outputs.
  
• Knowledge of agricultural research and breeding trials is an added advantage.
  
• Strong analytical and problem-solving skills
  
• Excellent written and verbal communications skills
  
• Ability to prepare technical reposts and scientific documentation.
  
• Strong organizational skills with attention to detail.
  
• Ability to work independently and within multidisciplinary teams.
  
• High level of integrity and confidentiality when handling research data.
  

Terms of employment

This position is a Temporary Position based in Arusha Tanzania. The initial fixed contract will be for 6 Months.

The Alliance Bioversity-CIAT is committed to fair safe and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence and is critical for our mission. Recruiting and mentoring staff to create an inclusive organization that reflects our global character is a priority. We encourage applicants from all cultures races colors religions sexes national or regional origins ages disability statuses sexual orientations marital status and gender identities. Female candidates are strongly encouraged to apply

Applications

Applicants are invited to visit to get full details of the position and to submit their applications. Applications MUST include reference RFP301405 ASSISTANT II - STATISTICIAN TEMPORARY as the position applied for. Cover letter and CV should be saved as one document using the candidates last name first name for ease of sorting. The Alliance collects and process personal data in accordance with applicable data protection laws.

Applications closing date:19^th August 2026

Please note that email applications will not be considered.

Only short-listed candidates will be contacted.

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