Cytel
team in India is growing by leaps and bounds and today Cytel India grows to a
team of 400 people spread across current locations in Pune, Hyderabad,
Bangalore and Navi Mumbai. Cytel has expanded its delivery from the core SAS
Programming and statistics to other clinical domains such as Clinical R
Programming, data management, medical writing areas. Cytel’s growth in services
is supported by CliPLab – Cytel’s unique skill development machinery by
introducing various industry focussed training and skill development programs. In
a newly announced program titled C-ClinR
(Certificate in Clinical R Programming) spanning
over 6 weeks, CliPLab provides theory and practical training to young
graduates/professionals, who are hand-picked to ensure a mix of the right pool
of talents with correct aptitude and skill set. The program helps participants
to enhance the competency and credibility as a technical professional by
attaining relevant practical and theoretical knowledge.
Why Clinical R Programming ?
R Programming, an open-source tool, is
extensively used for data analysis in universities. Professors and researchers
in the field of medicine use R for quantitative analysis. Google and Facebook
use R Programming for data exploration, model prototyping and predictive
analytics. It is the main programming tool for many quantitative analysts in
the finance domain. R Programming is a powerful tool with numerous
applications: data import and cleaning, exploration and visualization,
statistics generation and analyses and trading simulations. Thus, it is popular
in varied fields such as finance, bio-science, clinical and life science,
supply chain, sports, retail, marketing and manufacturing.
The two main advantages of R are;
1.
It has been
designed specifically for statistical analysis; therefore, programs in R always
require fewer lines of code than programs created using other analytical tools.
2.
It is an
open-source tool; therefore, it benefits from constant upgrades, improvements,
enhancements and contributions from a global community of passionate users and
developers.
Using R in a Clinical and Regulatory Environment
The Office of Biostatistics, US FDA, uses R on
a daily basis. FDA scientists have written R packages that can be used by other
scientists (FDA or non-FDA). It is a popular misconception that the FDA
mandates or endorses the use of a specific software package for statistical
analysis – this is not true. The FDA in fact encourages using anything that can
be validated for correctness, including R. 21 CFR Part 11 regulates electronic
records and their storage, not the software that is used to generate reports.
No regulation restricts the use of open-source software (including R) at the
FDA.
Meanwhile, in the pharmaceutical and clinical
research domain, SAS Programming enjoys immense popularity and is widely used,
although regulations do not specify or endorse the use of either SAS or R
programming software for statistical analysis and generation of reports and
graphs. Owing to the advantages and ease of use of both these tools, various
organizations are creating talent pools that are trained in both SAS and R
Programming.
Considering this, CliPLab launched “ClinR”, a new course in Clinical R
Programming and welcomes candidates to join this course.
At CliPLab, we are aware that R requires a data analysis background, and
therefore, it must be taught in a manner different from Java or Python. Hence,
we use relevant clinical datasets as examples and exercises in the ClinR
module.
Duration: 6 weeks / 30 hours
/ Weekend Program (4 hrs on each week end)
Eligibility: Candidates are preferred from:
·
Pharmacy (M. Pharm., B.Pharm.,)
·
Life sciences (M.Sc., PhD - Biotechnology,
Bioinformatics, Microbiology)
·
SAS Programmers /
Biostatisticians / Data Science professionals
·
Life Science Students /
Researchers / Faculties in colleges and universities
Program Outline
The ClinR course
module consists of the following topics:
Module
|
Topic
|
1.
|
Introduction to R
|
2.
|
Basics of R
|
3.
|
Data Structures
|
4.
|
Reading Data in R
|
5.
|
Writing R Functions
|
6.
|
Control Statements
|
7.
|
Loops
|
8.
|
Group Manipulation
|
9.
|
Data Reshaping
|
10.
|
Manipulating Strings
|
11.
|
Probability
Distributions
|
12.
|
Basic Statistics
|
13.
|
R Graphics
|
14.
|
Report Generation
|
Features of the ClinR course
·
Specially
designed for Life Sciences domain by Cytel, a global expert in biostatistics
and clinical programming
·
Comprehensive
and top-notch Clinical R Programming training
·
Experienced
trainers, who are proficient clinical R programmers with exposure to global
clients, including large pharmaceutical and biotech companies
·
Coverage
of fundamentals of clinical operations and basic statistics
·
Practical
exposure to R Programming using clinical data sets and case studies
·
Regular
assessments to improve and evaluate performance
Program Fees:
- This self-financed program would
require the investment of Rs. 25,000/- + Applicable tax
Mode of Payment:
o Payment can be done by Cheque/DD/Credit Card/Debit card/Online
Transfer