Himanshi Malik
Principal Statistical Programmer, Ex-Novartis, SAS/R
- Role
- Principal Statistical Programmer at 화이자
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Himanshi Malik
A conversant person in the field of Pharmaceutical/Healthcare Industry and a seasoned programmer in SAS and R, implementing the right blend of analytical skills in clinical trials data and genomic big data. I possess inherent ability to establish rapport with member of diverse group and promote team cohesiveness.Skill Sets:• Proficient in programming and reporting with Base SAS, SAS/STAT, SAS/MACRO with strong knowledge of SQL• Leading various Clinical trial studies for programming deliverables for CSR and regulatory submission• Strong ability to implement CDISC SDTM, ADaM standards and manage clinical trial deliverables• Have had exposure of various programming languages such as perl, shell scripting, python programming in academics. Comfortable with UNIX/Linux environment.• Experienced in working with NGS data such as RNA Seq and Exome Seq for Bioinformatics and Transcriptome analysis
Experience
Principal Statistical Programmer
Nov 2021 — Present
Working in the capacity of Statistical Programming Lead, I am leading and involved in various Phase clinical studies, contributing to the delivery of statistical programming deliverables such as Clinical Study Report (CSR), Interim Analysis (IA), Study Data Tabulation Model (SDTM)/Analysis Data Model (ADaM) datasets and Tables, Figures and Listings (TFL) outputs and supporting deliverables for regulatory submissions.
Education
Panjab University
Bachelor of Science (B.Sc.) Honours, Bioinformatics
2011 — 2014
Institute of Bioinformatics and Applied Biotechnology, Bangalore
Master's Degree, M.Sc in Bioinformatics and Applied Biotechnology
2014 — 2016
Panjab University
Bachelor of Science - BS, Bioinformatics
MVN Sector 17, Faridabad
class 11-12, Medical
2009 — 2011
Skills
- R
- Computational Genomics
- Molecular Biology
- Scripting
- Data Analysis
- Statistical Modeling
- Sequence Analysis
- Cgi/Perl
- Biotechnology
- Molecular Modeling
- Proteomics
- Bioinformatics
- Cheminformatics
- Programming Languages
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