Clinical SAS (Freshers) - Internship (WFH & Part Time)

About the internship:Selected intern's day-to-day responsibilities include:

1. Assist in clinical data analysis and management using SAS programming tools.

2. Support the development and execution of basic SAS programs for clinical trial datasets.

3. Perform data cleaning, validation, and quality checks to ensure data accuracy and consistency.

4. Assist in preparing clinical trial reports, tables, listings, and figures (TLFs).

5. Review clinical research datasets to identify inconsistencies, missing information, and potential data errors.

6. Support the preparation, organization, and maintenance of clinical data documentation.

7. Gain practical knowledge of CDISC standards, including Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets.

8. Assist in organizing, processing, and analyzing clinical trial data.

9. Collaborate with clinical research and data management teams on assigned projects.

10. Support statistical analysis and the interpretation of clinical research data.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 14th Oct'26 and 18th Nov'26are available for duration of 3 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.Stipend:INR₹ 2,000 - 7,500 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hours, 5 days a weekSkills required:Analytical Thinking, MS-Excel, Data Interpretation, Clinical Research, Effective Communication, Data Preparation, Clinical Trials and Clinical Data ManagementOther Requirements:Required Skills and Qualifications:1. Freshers and recent graduates are encouraged to apply.2. Candidates pursuing or having completed B.Pharm, M.Pharm, Pharm.D, B.Sc, M.Sc, Biotechnology, Life Sciences, Statistics, Mathematics, or related degrees are preferred.3. A basic understanding of Clinical SAS, clinical research, and clinical data management is an advantage.4. Candidates with basic knowledge of SAS programming, MS Excel, or SQL will be preferred.5. Strong analytical skills and an interest in clinical data analysis.6. No prior work experience is required.7. Willingness to learn Clinical SAS programming and industry-standard clinical data practices.About Company:'The ARZON GLOBAL LABS - Built on Experience, Driven by Impact.'

ARZON was founded to address long-standing gaps in education, such as poor training quality, limited placement support, and a lack of trust. After mentoring over 100,000 learners, our team created a platform that prioritizes real-world outcomes and transparency. We deliver domain-specific programs, live sessions, hands-on projects, mentorship, and verified credentials via our Skills Wallet. With trust and innovation at our core, ARZON is here to empower careers and redefine how learning connects to opportunity.Additional information:

Stipend Structure:

Fixed pay: ₹ 1,000 - 5,000 /month

Incentive pay: ₹ 1,000 - 2,500 /month

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Assist in clinical data analysis and management using SAS programming tools.

2. Support the development and execution of basic SAS programs for clinical trial datasets.

3. Perform data cleaning, validation, and quality checks to ensure data accuracy and consistency.

4. Assist in preparing clinical trial reports, tables, listings, and figures (TLFs).

5. Review clinical research datasets to identify inconsistencies, missing information, and potential data errors.

6. Support the preparation, organization, and maintenance of clinical data documentation.

7. Gain practical knowledge of CDISC standards, including Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets.

8. Assist in organizing, processing, and analyzing clinical trial data.

9. Collaborate with clinical research and data management teams on assigned projects.

10. Support statistical analysis and the interpretation of clinical research data.