As a Senior Statistical Programmer at Cytel, you will work across Phase I–IV clinical trials, applying advanced SAS programming and deep expertise in CDISC standards (SDTM & ADaM). You’ll be responsible for end-to-end statistical programming deliverables including dataset creation, TLFs, ISS/ISE outputs, ad-hoc analysis, and submission-ready documentation.
This role demands strong production and QC programming, hands-on efficacy analysis, and the ability to independently handle complex clinical data challenges. You will collaborate closely with cross-functional teams and sponsors, contribute to submission activities including define.xml, and step into study lead responsibilities when required.
Cytel values scientific rigor, intellectual curiosity, collaboration, and innovation. Ideal candidates bring 8+ years of SAS programming experience in pharma/biotech, proven study-lead exposure, strong troubleshooting skills, and the ability to deliver high-quality results under tight timelines. Experience in immunology, respiratory, or oncology studies is a plus.

Location: Pune | Mumbai | Bangalore | Hyderabad | Delhi
Experience: 3–12 Years
Industry: Pharma / Biotech / Clinical Research
Employment Type: Full-time | On-site
Latinum HR Solutions is hiring an experienced Statistical Programmer – Clinical Data for a leading global Pharma/Biotech organization.
This role is not for beginners.
If you’ve worked on regulatory submissions, ADaM, SDTM, TFLs, and want exposure to global clinical trials, keep reading.

About Indero
Indero (formerly Innovaderm) is a global clinical research leader in dermatology and rheumatology. With over 25 years of experience,
Position Overview
We are seeking a Clinical SAS Programmer to join our team in India (remote). This role is critical in supporting data review, safety monitoring, centralized reporting, and risk indicator development. You will collaborate across departments to deliver high-quality outputs within timelines and regulatory requirements.
Key Responsibilities
Develop SAS Data Review Listings based on protocol, EDC databases, and validation specs.
Build and maintain a library of SAS Data Review Listings.
Create Safety Review Listings and reports for centralized monitoring.
Produce Key Risk Indicators to support trial oversight.
Document changes to SAS code, programs, and specifications.
Contribute to Standard Operating Procedures (SOPs) related to data standards.
Support strategies to improve productivity, quality, and reduce cycle times.
Requirements
Bachelor of Science degree (Master’s in Computer Science, IT, Statistics, Engineering, or related field is an asset).
3–5 years of clinical research experience in biotech, pharma, or CRO industry.
Minimum 3 years of SAS programming experience.
Strong knowledge of regulatory requirements, GCP, FDA, and Health Canada guidelines.
SAS certification or advanced programming experience is an asset.
Excellent organizational, project planning, and time management skills.
Work Location
This is a remote, home-based position in India. Some meetings may occur outside regular business hours (primarily evenings). Applicants must be legally eligible to work in India.

As a Senior Statistical Programmer at Cytel, you will work across Phase I–IV clinical trials, applying advanced SAS programming and deep expertise in CDISC standards (SDTM & ADaM). You’ll be responsible for end-to-end statistical programming deliverables including dataset creation, TLFs, ISS/ISE outputs, ad-hoc analysis, and submission-ready documentation.
This role demands strong production and QC programming, hands-on efficacy analysis, and the ability to independently handle complex clinical data challenges. You will collaborate closely with cross-functional teams and sponsors, contribute to submission activities including define.xml, and step into study lead responsibilities when required.
Cytel values scientific rigor, intellectual curiosity, collaboration, and innovation. Ideal candidates bring 8+ years of SAS programming experience in pharma/biotech, proven study-lead exposure, strong troubleshooting skills, and the ability to deliver high-quality results under tight timelines. Experience in immunology, respiratory, or oncology studies is a plus.

Location: Pune | Mumbai | Bangalore | Hyderabad | Delhi
Experience: 3–12 Years
Industry: Pharma / Biotech / Clinical Research
Employment Type: Full-time | On-site
Latinum HR Solutions is hiring an experienced Statistical Programmer – Clinical Data for a leading global Pharma/Biotech organization.
This role is not for beginners.
If you’ve worked on regulatory submissions, ADaM, SDTM, TFLs, and want exposure to global clinical trials, keep reading.

About Indero
Indero (formerly Innovaderm) is a global clinical research leader in dermatology and rheumatology. With over 25 years of experience,
Position Overview
We are seeking a Clinical SAS Programmer to join our team in India (remote). This role is critical in supporting data review, safety monitoring, centralized reporting, and risk indicator development. You will collaborate across departments to deliver high-quality outputs within timelines and regulatory requirements.
Key Responsibilities
Develop SAS Data Review Listings based on protocol, EDC databases, and validation specs.
Build and maintain a library of SAS Data Review Listings.
Create Safety Review Listings and reports for centralized monitoring.
Produce Key Risk Indicators to support trial oversight.
Document changes to SAS code, programs, and specifications.
Contribute to Standard Operating Procedures (SOPs) related to data standards.
Support strategies to improve productivity, quality, and reduce cycle times.
Requirements
Bachelor of Science degree (Master’s in Computer Science, IT, Statistics, Engineering, or related field is an asset).
3–5 years of clinical research experience in biotech, pharma, or CRO industry.
Minimum 3 years of SAS programming experience.
Strong knowledge of regulatory requirements, GCP, FDA, and Health Canada guidelines.
SAS certification or advanced programming experience is an asset.
Excellent organizational, project planning, and time management skills.
Work Location
This is a remote, home-based position in India. Some meetings may occur outside regular business hours (primarily evenings). Applicants must be legally eligible to work in India.

As a Senior Statistical Programmer at Cytel, you will work across Phase I–IV clinical trials, applying advanced SAS programming and deep expertise in CDISC standards (SDTM & ADaM). You’ll be responsible for end-to-end statistical programming deliverables including dataset creation, TLFs, ISS/ISE outputs, ad-hoc analysis, and submission-ready documentation.
This role demands strong production and QC programming, hands-on efficacy analysis, and the ability to independently handle complex clinical data challenges. You will collaborate closely with cross-functional teams and sponsors, contribute to submission activities including define.xml, and step into study lead responsibilities when required.
Cytel values scientific rigor, intellectual curiosity, collaboration, and innovation. Ideal candidates bring 8+ years of SAS programming experience in pharma/biotech, proven study-lead exposure, strong troubleshooting skills, and the ability to deliver high-quality results under tight timelines. Experience in immunology, respiratory, or oncology studies is a plus.
