Data Scientist & Trial Co-Ordinator

Key Responsibilities

Data Science & Analysis

• Design and implement statistical methodologies for experimental design, model calibration, and validation.
• Utilize frequentist and Bayesian techniques for uncertainty quantification and predictive analytics.
• Work with process-based data analysis tools (e.g., GDC, ARM, Bioanalytics, Python & SPSS) and ensure statistical rigor in outputs.
• Perform spatial and geostatistical analysis on large-scale agricultural and environmental datasets.
• Develop statistical workflows for Monitoring, Reporting, and Verification.
• Automate analytical pipelines using Python for improved reproducibility and efficiency.
• Collaborate with interdisciplinary teams of environmental scientists, agronomists, and data specialists.

Trial Coordinator

1.

Coordinate and document institutional and in-house regulatory trials (Protocols, proposal letters, MOUs, acceptance letters, final reports).

• Liaise with trial partners (e.g., SAUs, research institutes) to ensure timely initiation and deficiency-free report submissions.
• Support CIB query resolution in coordination with Product Development (PD) teams.
• Assist in planning institutional trial programs for upcoming financial years.

2.

• Track and manage PD and BD budgets; maintain detailed payment records.
• Ensure institutional payment processes and vendor code creation are completed within defined timelines (e.g., 3 weeks).
• Follow up on GST upload statuses with institutions and stakeholders to close pending uploads within 30 business days.
• Provide quarterly summaries and gap analyses for GST uploads related to released payments.
• Coordinate drone services and sample availability for all trials.
• Assist in dashboard preparation (e.g., MCM Dashboard-12) and internal reporting as required.