Research Associate – Data Analysis Bean Program
Palmira, Colombia
JOB DETAIL
About the position
The Alliance Bioversity-CIAT is looking for a professional in areas like applied math, statistics, or data analysis careers. The main objective in the position will be to provide support in processing, analysis, and reporting of data results to contribute to the optimization of breeding schemes.
The position will be based in the operations center of the Americas, located in the Campus of Palmira, Colombia.
Key Responsibilities
Provide support to researchers on data gathering best practices, and experimental designs, ensuring good data analysis and high-quality reports can be performed.
Generate scientific publications using state-of-art methodologies through collaborative work with other institutions and external partners.
Contribute to measure the evolution of the breeding pipelines through genetic gain assessment.
Provide statistical solutions to accelerate the decision-making process based on the principles of quantitative genetics.
Develop analysis pipelines for trial data, quality data, and genotypic data to standardize processes in the breeding program.
Provide internal training on statistical solutions procedures for capacity building (guidelines).
Design and plan field trials ensuring statistical procedures can be applied correctly and efficiently.
Accountable for modernizing the breeding program under the Accelerated Breeding Initiative.
Work closely with the Data Manager to identify and correct errors and add meta information to the database. Interact with field team, quality lab, and genetics lab to analyze the phenotypic and genotypic data, interpret the analysis results and generate reports for group discussion and scientific publications.
Requirements
Qualifications and requirements
Professional in Statistics, Math, or related data analysis careers.
Experience in managing and analyzing data. Especially in Agriculture research.
Understanding of principles of experimental design, linear mixed model, and multivariate techniques.
Programming skills in ”R”, ”Python” and ”SQL”.
Highly motivated, self-starting, and flexible.
A demonstrated interest in data analysis, visualization, and interpretation.
Competences
Strong desire to work in a research program implementing data-driven decision-making, by integrating genotypic and phenotypic data.
Strong interest in working in a collaborative and interdisciplinary environment.
Demonstrated capacity to prioritize multiple activities and deliver the results or report on time.
Willingness to learn new research approaches integrating traditional and novel tools.
Intermediate to advance English level (oral and written).
Benefits
Terms of employment
This is a national recruited position placed at a BG06, on a scale of 14 levels, with level 14 being the highest. This is a Colombian national search and will be managed through a fixed term contract of a one (1) year period, subject to a probation period according to the local legislation and is renewable depending on performance and availability of resources.
The Alliance Bioversity-CIAT offers a multicultural, collegial research environment with competitive salaries and excellent benefits. We are an equal-opportunity employer, and strive for gender, diversity, and inclusion in our staff, without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic.
Applications
Applicants are invited to send a cover letter illustrating their suitability for the above position against the qualifications, competencies, and skills together with a detailed curriculum vitae, including names and addresses of three referees knowledgeable about the candidate’s professional qualifications and work experience. All correspondence should be addressed to the Human Resources Office, at ([email protected] ) and should clearly indicate “Application: Research Associate – Data Analysis – Bean Program–“.
Closing date for applications: July 7th, 2023.
We invite you to learn more about us at:
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