What Jobs are available for Statistical Analysis in India?

Key Responsibilities:

• Interpret GC-MS data (primarily EI) for identification of unknowns using spectral deconvolution and comparison to library databases for chemical characterization studies.
• Evaluate spectral quality, match scores, and fragmentation patterns using a weight-of-evidence approach, including critical assessment of database matches.
• Apply knowledge of retention indices and chromatographic behavior to confirm compound identity.
• Collaborate with technical analysts, chemists, and project managers to communicate findings, resolve discrepancies, and meet client expectations.
• Ensure data integrity and compliance with regulatory and accreditation standards (e.g., ISO 10993, ISO 17025, GLP).
• Document findings in established systems, supporting traceability and reporting.
• Contribute to method development and optimization by providing feedback on spectral data trends and anomalies.
• Support improvement of SOPs, templates, and data analysis workflows.
• Identify and troubleshoot potential prep or instrument-related issues affecting data integrity.
• Participate in continuous improvement initiatives and inter-laboratory collaborations.
• Other duties as assigned by management.

Additional Knowledge/Qualifications:

• BS/B.Sc in Chemistry or a related field with 5+ years relevant experience, or MSc./PhD with 2+ years of relevant experience.
• Proficient in interpreting GC-MS and chromatographic data.
• Experience working in a regulated environment (ISO 17025, ISO 10993, GLP/GMP).
• Familiarity with Microsoft Excel for data documentation and review.

Preferred Candidate:

• Background in organic chemistry, including fragmentation patterns under EI/CI, volatility, retention index behavior.
• Experience with extractables & leachables, particularly in a medical device or pharmaceutical context.
• Understanding of instrumental analysis workflows and solution preparation.
• Awareness of how sample prep or instrument anomalies affect data outcomes.
• Familiarity with relevant databases and software for compound identification.

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Assist senior researchers in data collection activities using various methodologies (surveys, interviews, literature reviews).
• Organize, clean, and prepare raw data for analysis using statistical software and tools.
• Perform basic statistical analysis and generate reports under the guidance of senior team members.
• Contribute to the interpretation of research findings and the development of conclusions.
• Maintain accurate and comprehensive records of research activities and data sets.
• Conduct literature searches and synthesize information from academic journals and other sources.
• Assist in the preparation of research presentations, reports, and publications.
• Collaborate effectively with remote team members on shared research projects.
• Ensure adherence to research protocols and ethical guidelines.
• Proactively identify and report any challenges or discrepancies encountered during the research process.

• Bachelor's degree in a relevant field such as Statistics, Economics, Mathematics, Psychology, Sociology, or a related discipline.
• Strong understanding of basic statistical concepts and methods.
• Proficiency in using data analysis software like Excel, SPSS, R, or Python for data manipulation and analysis.
• Excellent attention to detail and accuracy in data handling.
• Good written and verbal communication skills.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Eagerness to learn and develop new research skills.
• Prior experience with research projects or internships is a plus.
• Familiarity with research methodologies and data visualization techniques is beneficial.

• Design, conduct, and manage agricultural research experiments.
• Collect, clean, and analyze large datasets related to crop performance, soil health, and environmental factors.
• Utilize statistical software and modeling techniques to interpret research findings.
• Develop hypotheses, conduct literature reviews, and contribute to research proposals.
• Prepare detailed scientific reports, presentations, and publications.
• Collaborate with other researchers, agronomists, and field technicians.
• Stay current with advancements in agricultural science, technology, and best practices.
• Ensure adherence to research protocols, safety guidelines, and ethical standards.
• Contribute to the development of innovative solutions for crop improvement and sustainable farming.
• Assist in the supervision of junior research staff or interns as needed.

• Ph.D. or Master's degree in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• Minimum of 3-5 years of research experience in agriculture.
• Strong background in experimental design and statistical analysis.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data analysis tools.
• Excellent written and verbal communication skills, with a track record of scientific publications.
• Ability to work independently and manage multiple research projects effectively.
• Experience with remote data analysis tools and collaboration platforms.
• Knowledge of sustainable agriculture practices and current agricultural challenges.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and data visualization tools to identify trends, patterns, and insights.
• Support the development and generation of reports and dashboards to communicate findings to stakeholders.
• Help in building predictive models and performing statistical modeling under guidance.
• Collaborate with the data science and analytics teams to understand project requirements and deliver accurate results.
• Learn and apply various data analysis techniques and tools.
• Participate in team meetings and contribute to discussions on data-related challenges and solutions.
• Maintain data integrity and ensure accuracy in all analytical tasks.
• Assist in documenting data processes, methodologies, and findings.
• Continuously seek opportunities to enhance analytical skills and explore new data-related technologies.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and database querying (e.g., SQL).
• Excellent written and verbal communication skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• A proactive attitude and a strong desire to learn and grow in the field of data analysis.
• Good understanding of statistical concepts and principles.
• Ability to work collaboratively in a virtual team environment.
• Eagerness to contribute to meaningful projects and gain practical experience.