Summary
Overview
Work History
Education
Skills
PROFILE HIGHLIGHTS
Certification
Interests
Accomplishments
Conferences
Timeline
Generic
SALINI RADHAKRISHNAN

SALINI RADHAKRISHNAN

Associate Manager – SAS programming
Thiruvananthapuram

Summary

Dynamic SAS programmer with more than14 years of experience excelling in operations and project management. Proven track record in various therapeutic areas and different phases of the studies. Expert in all aspects of clinical study programming, with strong leadership qualities and team collaboration.

Overview

2022
2022
years of professional experience
1
1
Certification
2
2
Languages

Work History

Associate Manager - SAS Programming

Navitas Life Sciences Pvt.Ltd
  • Team Lead - Oncology projects SDTM (SDTMIG 3.4 version), where I ensured quality and timely completion, which includes multiple high-priority tasks simultaneously, while maintaining strict deadlines.
  • Lead team meetings regularly to discuss progress updates, identify challenges, and provide guidance towards successful project completion.
  • Collaborate closely with other department leads, including Data Management, Statistical, and Project Lead, to communicate strategic plans and improvement areas identified.
  • Facilitated seamless migration from legacy systems to modern platforms by translating old code into updated formats, compatible with new technologies.
  • Developed comprehensive user guidelines and training to facilitate seamless adoption of new concepts and technologies within the organization.
  • Maintained up-to-date knowledge of industry standards and emerging trends, incorporating innovations into SAS programming techniques for continuous improvement.
  • Key elements of technical work start from raw dataset processing to submission package creation, including creating the trial design model, identifying the SDTM datasets, annotating the CRF, writing Define specifications, programming and validating SDTM datasets, including GF, CP, MI, TU, TR, RS, and others, validation using the Pinnacle tool, SDRG creation, and generating Define.XML.
  • Experienced in ADaM, including ADTTE, ADRS, etc. and TLFs generation, including KM graphs, where I contributed as the primary and validation programmer, and was proactively involved in ADaM specification generation and mock shell review. Collaborate closely with cross-functional leads to improve the quality of the outputs by aligning statistical expectations with the generated outputs.
  • Recruited, interviewed, and hired employees, and implemented a mentoring program to build a team that meets the company goals.
  • Contributed as Project Manager for 'Document QC' work, where the main responsibilities are to identify the team, lead team meetings regularly to discuss progress updates, identify challenges, communicate with the client, and provide proactive suggestions, discuss the timeline, and provide guidance towards successful project completion.
  • People management for reportees, contributing to their professional growth, and skill development.

Senior SAS Programmer

ICON Plc
06.2019 - 01.2022
  • Lead Programmer for leading multiple studies on different therapeutic areas like autoimmune diseases (immunology), endocrinology, gastrointestinal, cardiovascular, gastroenterology, and neurology, covering all clinical trial phases (I, II, III, & IV).
  • Experience in working on blinding/unblinding studies and the process followed as part of unblinding from the programmer's perspective.
  • Contributed to safety, efficacy, and PK analysis, which includes standard and custom domain generation, and the creation of various tables, listings, and figures as per the mock shell. PC/PP SDTMs and ADPC/ADPP ADaM and corresponding TLGs created as part of PK Analysis.
  • Managed end-to-end work, including distributing the work among team members, monitoring progress, connecting with the data management team for data-related issues, and providing regular status updates to the project manager, along with programming activities that start from CRF annotation, SDTM, ADAM, TFL, to e-sub package creation.
  • Collaborated closely with senior management on strategic planning efforts, aligning departmental goals with overarching company objectives.
  • Enhanced team productivity by implementing efficient project management strategies.
  • Created and tested SAS macros to improve the efficiency and accuracy of study workflows.
  • Contribute towards providing training and mentoring, and be involved in hiring activities (being part of interviews, preparing question papers, and volunteering for exams conducted, etc.).


Statistical Programmer

IQVIA RDS
01.2016 - 06.2019
  • Team lead for multiple complex projects, mainly efficacy analysis, and the key member of the development operations of the Statistical Programming Team. Quality is always maintained through updating the latest CDISC standard, knowledge gathering, and implementation.
  • Representative of the programming team in kickoff meetings to analyze, identify, and propose the core team, and plan the work strategy for the timely achievement of project milestones.
  • Key elements of technical work start from study area creation, utility programs/macros creation, raw dataset processing, SDTM, ADaM, TLG, aCRF, define.xml, CDRG, and ADRG creation.
  • Expertise with P21 Enterprise and community version as part of validation and eSUB-specific document creation, like define.xml, SDRG, and ADRG.
  • Collaborated closely with the Data Management team, Statisticians, Medical Writers, Project Leads, and Clinical Site teams.
  • Forecast anticipated challenges, and proactively implemented the solution by clear communication and updating of documentation practices.
  • Participated in CRF and mock shell reviews, contributing to the accuracy and consistency of clinical trial documentation.
  • Create, update, and debug macros to meet specific study requirements, and ensure seamless functionality.
  • Supported different clients, which made the opportunity to explore different processes followed by various organizations within the industry.
  • Updated and maintained knowledge through regular knowledge-sharing workshops and presentations.
  • Mentored new joiners on SAS and process flow



Team Lead - SAS Programming

Cognub Decision Solutions
04.2011 - 12.2015
  • Stepped into a lead role in executing project responsibilities, ensuring studies adhered to SOPs and Work Instructions.
  • Applied extensive knowledge of the drug discovery process and clinical trial phases, and ensured compliance with ICH-GCP, GPP, and 21 CFR Part 11 regulations.
  • Experienced in programming and validating SDTM and ADaM datasets following CDISC standards, ensuring compliance with P21 validation rules.
  • Experienced in writing specification documents for ADaM and SDTM dataset programming. Developed Analysis Data Reviewer Guides (ADRG) and Define.xml for submissions.
  • Skilled in various SAS modules, including Base & Advanced SAS, SAS/Macros, SAS/GRAPH, SAS/ODS, SAS/SQL, and SAS/Report.
  • Skilled in annotating CRF (aCRF) fields using SDTMIG standards.
  • Experienced in utilizing diverse SAS procedures such as Proc Report, Proc Summary, Proc Freq, Proc Mean, Proc Transpose, Proc Sort, Proc SQL, Proc Univariate, Proc Tabulate, Proc Import, Proc Copy, Proc Export, Proc Gplot, Proc Gchart, Proc Compare, Proc Lifetest, Proc GLM, and others for data manipulation and analysis.
  • Experienced in using organizational-specific tools, macros for datasets, reports, and compiling, combining reports into a PDF.


Education

Master of Science - Statistics

Nirmala College, Muvattupuzha
Kerala, India
04.2001 -

Bachelor of Science - Statistics

Mar Athanasius College
Kerala, India
04.2001 -

Skills

SAS

PROFILE HIGHLIGHTS

  • Certified SAS/Statistical Programmer with experience in programming, analyzing, and reporting Clinical
    Trials data.
  • Experience as a Lead Programmer overseeing the work of CROs or FSPs.
  • Skilled in various SAS modules including Base SAS; Advanced SAS, SAS/Macros, SAS/GRAPH, SAS/ODS, SAS/SQL, and
    SAS/Report
    .
  • Possess knowledge of the drug discovery process and clinical trial phases, as well as well-versed in ICH-GCP, GPP, and 21-CFR
    Part 11 regulations.
  • Familiar with essential Clinical Trials documents including Study Protocol, Case Report Form (CRF), and Statistical Analysis
    Plan (SAP)
    .
  • Capable of defining/writing and debugging SAS Macro programs.
  • Skilled in annotating CRF (aCRF) fields using SDTMIG standards.
  • Experienced in writing specification, generating and validating CDISC datasets (SDTM, ADaM) and TLFs, both standard and
    customized. Also, worked on subgroup analyses for publications, ad-hoc reports.
  • Experienced in utilizing diverse SAS procedures such as Proc Report, Proc Summary, Proc Freq, Proc Mean, Proc
    Transpose, Proc Sort and Proc SQL, Proc Univariate, Proc Tabulate, Proc Import, Proc Copy, Proc Export, Proc Gplot,
    Proc Gchart, Proc Compare, Proc Lifetest, Proc GLM
    and others for data manipulation and analysis.
  • Proficient in validating CDISC datasets using tools like Pinnacle21 community and Enterprise versions and generating associated reports.
  • Excellent understanding of the Bio-statistical workflow starting from Raw Datasets to submission package creation (writing
    Define specs, creating SDRG/ADRG and generating Define.XML).
  • Utilized SAS on various platforms like UNIX, Entimice, Gitlab
  • Languages: SAS, SQL, R (SAS Studio, SAS 9.4, SAS Enterprise Guide and R Studio)




Certification

SAS Certified Specialist: Base Programming Using SAS 9.4

Interests

Yoga

Meditation

Accomplishments

University Rank Holder (III) in BSc Statistics from MG University in the academic year of 2004- 2007.

Base SAS Certification.

IQVIA awards for Trainings and Projects Deliveries (5 in number).

ICON awards for Trainings and Projects Deliveries (6 in number).

Navitas award for Trainings and Project Management(2 Number).

Conferences

Attended the PHUSE Conference on "Achieving Efficacy in Programming, Analysis, and Reporting of New Age Clinical Trials," gaining insights into the latest trends, best practices, and innovative approaches in clinical trial programming and reporting (11/2024) PHUSE SDE, India

 

Attended the PHUSE Conference on "Industry 4.0: Avoiding Digitization and Modernization 'Not an Option'," where I gained valuable insights into the impact of digital transformation on clinical trials, focusing on the importance of modernization in programming, analysis, and reporting. (07/2019)

Timeline

Senior SAS Programmer

ICON Plc
06.2019 - 01.2022

Statistical Programmer

IQVIA RDS
01.2016 - 06.2019

Team Lead - SAS Programming

Cognub Decision Solutions
04.2011 - 12.2015

Master of Science - Statistics

Nirmala College, Muvattupuzha
04.2001 -

Bachelor of Science - Statistics

Mar Athanasius College
04.2001 -

Associate Manager - SAS Programming

Navitas Life Sciences Pvt.Ltd
SALINI RADHAKRISHNANAssociate Manager – SAS programming