Senior Research Associate
Gene Bank & Tropical Forages
The organization
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers scientific solutions that harness agricultural biodiversity to sustainably transform food systems and landscapes improving peoples lives. Our solutions address critical global challenges such as malnutrition climate change biodiversity loss and environmental degradation.
Through innovative collaborations the Alliance generates evidence and integrates innovations to sustainably nourish people boost prosperity and conserve the planet. The Alliance is part of CGIAR a global research partnership for a food-secure future.
About the position
The Gene Bank Program and Tropical Forages Program is seeking for a Senior Research Associate to provide statistical and analytical support across collaborative multi-location research initiatives focused on forage evaluation and characterization. The position involves working with diverse and complex datasets generated by multidisciplinary research teams integrating data from laboratory greenhouse and field-based studies to support analysis interpretation and evidence-based decision-making.
The position will be based at the Alliances Americas Hub in Palmira Colombia with availability to travel within and outside the country.
Requirements
Responsibilities
- Provide advanced statistical support across all phases of project-based research activities including experimental design data cleaning analysis and multi-environment modeling.
- Create mixed models longitudinal data analysis multivariate analysis and spatial data visualization.
- Assist and mentor project partners in statistical analysis and data interpretation to strengthen capacity across centers.
- Analyze data generated from in vitro fermentation assays and in vivo trials including digestibility gas production methane emissions biomass yield and agronomic performance.
- Contribute to the development of evidence-based decision frameworks (e.g. ranking matrices and selection criteria) that integrate nutritional value methane mitigation potential and agronomic performance.
- Coordinate with multidisciplinary teams and external partners to harmonize data workflows statistical methodologies and standardize analytical protocols and ensure reproducibility of results.
- Support the development and application of statistical models for interpreting complex datasets such as those from metabolomics microbiome and multi-environment trials.
- Maintain project databases to store and manage large datasets from multi-center evaluations.
- Co-lead the development of scientific reports technical briefs and peer-reviewed publications summarizing statistical findings.
- Support training and capacity-building activities including mentoring project partners in statistical analysis data interpretation and dashboard use to strengthen analytical capacity across centers.
Qualifications and requirements
- Bachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related field.
- At least one year of experience providing statistical support for research projects preferably in agricultural environmental or life sciences.
- Proficiency in R Python SAS and other statistical or machine learning tools.
- Knowledge with mixed models longitudinal data analysis and data visualization.
- Experience working with datasets related to forage evaluation animal nutrition agronomic or environmental indicators (desirable).
- Advanced proficiency in English (spoken and written) is mandatory with proven ability to actively participate in technical discussions lead or contribute to meetings prepare scientific documents and communicate effectively with international multidisciplinary research teams.
- Effective communication skills with the ability to translate complex statistical results into clear messages for both technical and non-technical audiences.
Soft Skills
- Strong organizational and planning skills.
- Ability to work collaboratively in diverse and interdisciplinary teams.
- Attention to detail and commitment to data quality.
- Flexibility and adaptability to changing priorities and project needs.
- Ability to follow procedures policies and research protocols.
- Strong organizational and teamwork skills with the ability to work in a multicultural and multi-institutional environment.
Benefits
Terms of employment
This is a nationally recruited position under grade BG07 on a 14-level scale (14 being the highest).
The position is based at the Alliance Bioversity International CIAT Americas Hub in Palmira Colombia. It will be offered as a one-year (1) fixed-term contract renewable based on performance and the availability of funds. The Alliance provides a collaborative research-driven environment with competitive remuneration and benefits. We are an equal opportunity employer committed to diversity and inclusion.
Learn more about us at:
Careers Alliance Bioversity International - CIAT
We invite you to learn more about us at:
Required Skills:
Responsibilities Provide advanced statistical support across all phases of project-based research activities including experimental design data cleaning analysis and multi-environment modeling. Create mixed models longitudinal data analysis multivariate analysis and spatial data visualization. Assist and mentor project partners in statistical analysis and data interpretation to strengthen capacity across centers. Analyze data generated from in vitro fermentation assays and in vivo trials including digestibility gas production methane emissions biomass yield and agronomic performance. Contribute to the development of evidence-based decision frameworks (e.g. ranking matrices and selection criteria) that integrate nutritional value methane mitigation potential and agronomic performance. Coordinate with multidisciplinary teams and external partners to harmonize data workflows statistical methodologies and standardize analytical protocols and ensure reproducibility of results. Support the development and application of statistical models for interpreting complex datasets such as those from metabolomics microbiome and multi-environment trials. Maintain project databases to store and manage large datasets from multi-center -lead the development of scientific reports technical briefs and peer-reviewed publications summarizing statistical findings. Support training and capacity-building activities including mentoring project partners in statistical analysis data interpretation and dashboard use to strengthen analytical capacity across centers. Qualifications and requirements Bachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related field. At least one year of experience providing statistical support for research projects preferably in agricultural environmental or life sciences. Proficiency in R Python SAS and other statistical or machine learning tools. Knowledge with mixed models longitudinal data analysis and data visualization. Experience working with datasets related to forage evaluation animal nutrition agronomic or environmental indicators (desirable). Advanced proficiency in English (spoken and written) is mandatory with proven ability to actively participate in technical discussions lead or contribute to meetings prepare scientific documents and communicate effectively with international multidisciplinary research teams. Effective communication skills with the ability to translate complex statistical results into clear messages for both technical and non-technical audiences. Soft Skills Strong organizational and planning skills. Ability to work collaboratively in diverse and interdisciplinary teams. Attention to detail and commitment to data quality. Flexibility and adaptability to changing priorities and project needs. Ability to follow procedures policies and research protocols. Strong organizational and teamwork skills with the ability to work in a multicultural and multi-institutional environment.
Required Education:
Qualifications and requirementsBachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related least one year of experience providing statistical support for research projects preferably in agricultural environmental or life in R Python SAS and other statistical or machine learning with mixed models longitudinal data analysis and data working with datasets related to fo
Senior Research AssociateGene Bank & Tropical Forages The organization The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers scientific solutions that harness agricultural biodiversity to sustainably transform food systems and landscapes impr...
Senior Research Associate
Gene Bank & Tropical Forages
The organization
The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT) delivers scientific solutions that harness agricultural biodiversity to sustainably transform food systems and landscapes improving peoples lives. Our solutions address critical global challenges such as malnutrition climate change biodiversity loss and environmental degradation.
Through innovative collaborations the Alliance generates evidence and integrates innovations to sustainably nourish people boost prosperity and conserve the planet. The Alliance is part of CGIAR a global research partnership for a food-secure future.
About the position
The Gene Bank Program and Tropical Forages Program is seeking for a Senior Research Associate to provide statistical and analytical support across collaborative multi-location research initiatives focused on forage evaluation and characterization. The position involves working with diverse and complex datasets generated by multidisciplinary research teams integrating data from laboratory greenhouse and field-based studies to support analysis interpretation and evidence-based decision-making.
The position will be based at the Alliances Americas Hub in Palmira Colombia with availability to travel within and outside the country.
Requirements
Responsibilities
- Provide advanced statistical support across all phases of project-based research activities including experimental design data cleaning analysis and multi-environment modeling.
- Create mixed models longitudinal data analysis multivariate analysis and spatial data visualization.
- Assist and mentor project partners in statistical analysis and data interpretation to strengthen capacity across centers.
- Analyze data generated from in vitro fermentation assays and in vivo trials including digestibility gas production methane emissions biomass yield and agronomic performance.
- Contribute to the development of evidence-based decision frameworks (e.g. ranking matrices and selection criteria) that integrate nutritional value methane mitigation potential and agronomic performance.
- Coordinate with multidisciplinary teams and external partners to harmonize data workflows statistical methodologies and standardize analytical protocols and ensure reproducibility of results.
- Support the development and application of statistical models for interpreting complex datasets such as those from metabolomics microbiome and multi-environment trials.
- Maintain project databases to store and manage large datasets from multi-center evaluations.
- Co-lead the development of scientific reports technical briefs and peer-reviewed publications summarizing statistical findings.
- Support training and capacity-building activities including mentoring project partners in statistical analysis data interpretation and dashboard use to strengthen analytical capacity across centers.
Qualifications and requirements
- Bachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related field.
- At least one year of experience providing statistical support for research projects preferably in agricultural environmental or life sciences.
- Proficiency in R Python SAS and other statistical or machine learning tools.
- Knowledge with mixed models longitudinal data analysis and data visualization.
- Experience working with datasets related to forage evaluation animal nutrition agronomic or environmental indicators (desirable).
- Advanced proficiency in English (spoken and written) is mandatory with proven ability to actively participate in technical discussions lead or contribute to meetings prepare scientific documents and communicate effectively with international multidisciplinary research teams.
- Effective communication skills with the ability to translate complex statistical results into clear messages for both technical and non-technical audiences.
Soft Skills
- Strong organizational and planning skills.
- Ability to work collaboratively in diverse and interdisciplinary teams.
- Attention to detail and commitment to data quality.
- Flexibility and adaptability to changing priorities and project needs.
- Ability to follow procedures policies and research protocols.
- Strong organizational and teamwork skills with the ability to work in a multicultural and multi-institutional environment.
Benefits
Terms of employment
This is a nationally recruited position under grade BG07 on a 14-level scale (14 being the highest).
The position is based at the Alliance Bioversity International CIAT Americas Hub in Palmira Colombia. It will be offered as a one-year (1) fixed-term contract renewable based on performance and the availability of funds. The Alliance provides a collaborative research-driven environment with competitive remuneration and benefits. We are an equal opportunity employer committed to diversity and inclusion.
Learn more about us at:
Careers Alliance Bioversity International - CIAT
We invite you to learn more about us at:
Required Skills:
Responsibilities Provide advanced statistical support across all phases of project-based research activities including experimental design data cleaning analysis and multi-environment modeling. Create mixed models longitudinal data analysis multivariate analysis and spatial data visualization. Assist and mentor project partners in statistical analysis and data interpretation to strengthen capacity across centers. Analyze data generated from in vitro fermentation assays and in vivo trials including digestibility gas production methane emissions biomass yield and agronomic performance. Contribute to the development of evidence-based decision frameworks (e.g. ranking matrices and selection criteria) that integrate nutritional value methane mitigation potential and agronomic performance. Coordinate with multidisciplinary teams and external partners to harmonize data workflows statistical methodologies and standardize analytical protocols and ensure reproducibility of results. Support the development and application of statistical models for interpreting complex datasets such as those from metabolomics microbiome and multi-environment trials. Maintain project databases to store and manage large datasets from multi-center -lead the development of scientific reports technical briefs and peer-reviewed publications summarizing statistical findings. Support training and capacity-building activities including mentoring project partners in statistical analysis data interpretation and dashboard use to strengthen analytical capacity across centers. Qualifications and requirements Bachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related field. At least one year of experience providing statistical support for research projects preferably in agricultural environmental or life sciences. Proficiency in R Python SAS and other statistical or machine learning tools. Knowledge with mixed models longitudinal data analysis and data visualization. Experience working with datasets related to forage evaluation animal nutrition agronomic or environmental indicators (desirable). Advanced proficiency in English (spoken and written) is mandatory with proven ability to actively participate in technical discussions lead or contribute to meetings prepare scientific documents and communicate effectively with international multidisciplinary research teams. Effective communication skills with the ability to translate complex statistical results into clear messages for both technical and non-technical audiences. Soft Skills Strong organizational and planning skills. Ability to work collaboratively in diverse and interdisciplinary teams. Attention to detail and commitment to data quality. Flexibility and adaptability to changing priorities and project needs. Ability to follow procedures policies and research protocols. Strong organizational and teamwork skills with the ability to work in a multicultural and multi-institutional environment.
Required Education:
Qualifications and requirementsBachelors degree in Biostatistics Statistics Data Science Agricultural Sciences or a related least one year of experience providing statistical support for research projects preferably in agricultural environmental or life in R Python SAS and other statistical or machine learning with mixed models longitudinal data analysis and data working with datasets related to fo
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