8 Spss Statistics Jobs

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. Trial Coordination 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. Administrative & Operational Support 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.

Key Responsibilities: Validate survey logic and structure to ensure accurate data collection. Monitor incoming data for inconsistencies, errors, or unusual patterns. Perform data cleaning and transformation using tools like Excel, SPSS, etc Develop and maintain data quality checks and automation scripts for efficiency. Collaborate with research and operations teams to resolve data-related issues. Ensure alignment of data with project objectives and client requirements. Prepare data quality reports and provide actionable recommendations where needed. Cross check sample representativeness and response integrity across key demographics. Support processing and other reporting teams by delivering clean and structured data. Contribute to process improvement initiatives to enhance data accuracy and reliability. Requirements: Proficiency in data cleansing, validation, and preparation to ensure accuracy and consistency. Ability to analyze, explore, and segment datasets for actionable insights. Strong knowledge of statistics and statistical packages such as Excel OR SPSS. Experience in creating and applying algorithms to identify trends, outliers, and errors in large datasets. Familiarity with survey platforms (e.g., Decipher, Qualtrics, Confirmit) and understanding of survey logic and flow. Expertise in data visualization and creating dashboards using tools. Competence in visual storytelling with data. Knowledge of sampling methods. Proven experience in data analysis and data quality management within market research. Strong mathematical and problem-solving abilities. Solution-oriented mindset. Some expertise in AI. High accuracy and attention to detail. Excellent written and verbal communication skills Strong team-working skills and the ability to collaborate with project managers, researchers, and technical teams. Comfortable managing multiple projects. Comfortable working flexible hours Interested candidates can DM or send their resume to anusha.devadasan@iresearchservices.com / 8799804312.

Hello Candidates, We are #hiring for Project Technical Support III ! Government Project Payroll company: - E Solutions Job role: - Project Technical Support III ! Educational Qualification : Three Years Graduate degree in Microbiology, Molecular Biology, Biotechnology, or a related field + three Years post qualification experience or PG in relevant subject / field. Desirable Qualification : Knowledge of DNA extraction, PCR, library preparation, and sequencing methods Ability to troubleshoot complex data analysis challenges Data analysis and report writing Knowledge of computers, excel, data analysis, SPSS Software Name of the Project: Evaluating the utility of molecular workflow for establishing microbial profile and antimicrobial resistance for neonatal sepsis in a tertiary care setting in Maharashtra funded by Indian Council of Medical Research No. of Vacancy :- 02 Age Limit: The upper age limit is 35 years.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Must Published 3-4 paper in SCI/Scopus Q1/Q2Unpaid Journals with their Expertise Must be able to write and can arrange the data by themselves in such manner so that paper can be published easily Required Candidate profile Must Be Phd Must Be published 3-4 Journals in sci unpaid Must be able to write the good quality paper

Automated tools, extract data, databases, data systems - in a readable format, Quality Analysis, Filter data, performance indicators, identify correct code problems. Gen. reports. Stating trends, patterns, & predictions, Process improvement. Required Candidate profile Math. skills analyse data prog. lg. SQL, MY SQL, Python, Database design dev, data models, techniques data mining & segmentation, Business Objects, prog. JSON/ETL frameworks, databases Excel, SPSS,SAS

Must Published 3-4 paper in SCI/Scopus Q1/Q2Unpaid Journals with their Expertise Must be able to write and can arrange the data by themselves in such manner so that paper can be published easily Required Candidate profile Must Be Phd Must Be published 3-4 Journals in sci unpaid Must be able to write the good quality paper