1. Name of the Post: Senior Scientist 'Data Management And Analytical Support'
2. Qualifications and Core Competencies - The ideal candidate will have most, if not all, of the following skills, knowledge, experience, and personal characteristics:
a) The candidate must have agricultural experience and should hold a PhD in Statistics/Biometrics with minimum of 6 years of experience
b) Expert in applying and developing modern approaches to make spatially optimized experimental designs, quality control, and data analysis of experimental trials in the field, laboratories, plant growth facilities, and on-farm field trials
c) Significant experience and expertise in advanced statistical models, computational algorithms, quantitative genetics, statistical computing, and the incorporation of methods and platforms t o ensure a strong data ecosystem.
d) Knowledge of advanced statistical approaches to the production and implementation of new methods to advance breeding research decision making.
e) Experience in organizing training/workshops/data hackathons on statistical and data management tools
f) Expertise on Breading Management System database schema
g) Knowledge on data curation, historical pedigrees of crops
h) Exposure in managing nurseries, trials, preparing field layouts using BMS
i) Knowledge of Data Repository and understanding of relational databases
j) Understanding Data and its metadata concepts to publish data into dataverse tool
k) Experienced in making data management and data policy in line with institute's goals and visions
l) Comfortable working with large teams across geographics and proven ability to provide the needed support on the data management and analytics
m) Well connected with institutions, organizations in the relevant areas of research.
n) Exposure in leading multicultural, multi-disciplinary scientific teams and ability to work across diverse environments and cultures.
o) Excellent written and oral skills in English.
3. Skills and Knowledge
a) Demonstrated leadership abilities, commitment towards organizational goals and strong interpersonal skills.
b) A deep understanding of data management and analytics in agricultural and allied sciences
c) Collaborate with all ICRISAT research units across all locations and various NARS and international research institutions in providing data science support in the areas of biometrics and statistical genetics and provide reliable statistical backstopping to multidisciplinary teams of researchers during the research cycle.
d) Contribute to research publications of scientists and research scholars, and documentation of advance data analytical tools and data management studies
e) Track record of peer reviewed publications in agricultural research and allied sciences