India's 1st Pharma Analytics Quarter Event (15th May 2019 - 15th August 2019)
Innovate with India’s 1st Pharma Analytics Event
Explore our interminable solution to Pharma Industry!!
Sankhyana in Sanskrit means Numeration which- in- turn means the process or action of calculating by assigning numbers to something. At Sankhyana Consultancy Services, we visualize business scenarios by assigning numbers and then use relevant statistical Models to gleans out meaningful and actionable insights enabling businesses to make data-driven decisions.
Sankhyana Consultancy Services is a SAS Accredited Training Centre in Bangalore which is one of the advanced analytics firms to provide Training, Staffing, Consulting & Service support to (students, professionals & corporates) on SAS and Data Management tools since 2014.
We have a specialized analytics team of Clinical Data Managers, Data Engineers, Data Scientists, Statisticians & Data Analysts with a blend of the young and experienced pool of knowledge with the very latest analytics software and are capable of catering to diverse sectors.
We believe in the power of data analytics and trust in “Data-Driven Decision Science” which enables enterprises to transcend complex business problems.
We began as a start-up business. Our Founder and CEO Mr. Sajal Kumar started the company named Sankhyana Consultancy Services in 2014 after years working as a SAS Expert in Analytics domain. In the year 2017, we have opened a new branch at HSR layout.
Sankhyana Consultancy Services offers SAS® training that is designed to train students in applying SAS® programming skills to clinical trials. The SAS® Clinical training imparts the knowledge and skills required to ensure that clinical data is maintained as per prescribed standards so as to support strategic analysis. This course offers expertise in:
Sankhyana Consultancy Services is an advanced analytics firm which visualizes data and envisages insights which help enterprises to take optimal business decisions at an incredibly fast phase and have a competitive edge over its competitors.
"The event combines Pharma Analytics and related Analytics programs. In our India’s 1st Pharma Analytics Quarter, we will share new strategies and guidance to help you realize your future which is based on Pharma data analytics on which you can trust."
THE EMERGENCE OF ELECTRONIC CLINICAL DATA SUBMISSIONS
Beginning in the 1980s and coinciding with the proliferation of business, academic and personal computing the FDA began to accept data (ASCII files generated by computer software) in formats that would facilitate faster reviews for applications. Laws followed (e.g., PADUFA V), which mandated clinical data standards and resulted in Clinical Data Interchange Standards Consortium.
In the late 1990s, the FDA supported submission of actual SAS XPT files.
(CDISC) submissions being the uniform and sole method to submit data application to the FDA.
Pharma Analytics Industry is Booming
In the past decade, there isn’t a single industry that has been revolutionized by technology and pharma industry is among one of them. India is marking remarkable development and growth. The Indian pharmaceutical industry has emerged as a paramount contributor to the global pharmaceutical industry.
According to the report of FICCI (Federation of Indian Chamber of Commerce and Industry), “India is the largest provider of generic drugs globally. Indian pharmaceutical sector industry supplies over 50% of global demand for various vaccines, 40% of generic demand in the US and 25% of all the medicine in the UK. Presently over 80% of the antiretroviral drugs used globally to combat AVAILS (Acquired Immune Deficiency Syndrome) is supplied by Indian pharmaceutical firms.”
SAS Data Analytics to Bring Billions in, Healthcare Market
The billion-dollar industry is witnessing high demand for pharma qualified professionals. Indian pharmaceutical industry is one of the fastest growing sectors of the Indian economy. There is a massive need for clinical research professionals in this expeditious-growing field. Clinical research makes a fascinating career option with great scope for professional magnification.
SAS (Statistical Analysis System) is widely used in clinical trial data analysis in pharmaceutical, biotech, and clinical research companies as per FDA (Food and Drug Administration). Clinical SAS Programmer plays an important role in clinical trial data analysis. SAS can avail meet healthcare professionals to meet business goals, control costs, engender more preponderant revenue and enhance strategic performance management.
WHY SAS IS THE ANSWER?
Clinical data is sensitive information that should be treated as a valuable asset as well as a regulated commodity. Not only can improper management of clinical data cause the invalidation of an entire clinical trial, but it may also result in strict remedies, including serious financial penalties, from the FDA.
At the time of this writing, the FDA has not issued revised CFR 21 guidance. This indicates that the FDA is still struggling with the difficult issues and requirements compliance for a clinical database. However, it is known that the FDA does request that all clinical DBMS prevent unauthorized access to data. This requires that data be password protected and allow updates only by authorized users of the clinical DBMS. The FDA also requires maintenance of complete audit trails for clinical data. Both the entry and revision of clinical data is to be logged to indicate the user performing the action, the date and time of the action, as well as the reason for the change of data. These requirements and many others are all easy goals when working with the SAS System. In addition to being easy to use, SAS is also the choice of the FDA for receiving and reviewing clinical data.
The FDA is still requesting SAS transport data sets as the standard for receiving electronically submitted data. At a minimum, each FDA reviewer is equipped with the SAS System Viewer. Since the use of SAS is essential to clinical information management, keeping clinical data in SAS makes sense. Reporting is also effectively accomplished using SAS.
The Role of SAS Analytics in Pharma
- The major role of SAS in Pharma Analytics mainly focusses on generating the TLF’s or TLG’s.
- The CDISC standards like SDTM and ADAM which are used to standardize and to analyze the clinical trial data and the generation of reports can be only done by using Clinical SAS since FDA accepts only SAS reports.
- The department of BIO- Statistics is using clinical SAS for writing the SDTM and ADAM specifications and in the creation of SAP (Statistical Analysis Plan).
- CDM team is using SAS to perform data analysis before loading the data into certain databases.
- Analysis with clean data and validating the clinical trial data will reduce the pain on the FDA to have a good overview of the clinical reports. Hence most of CRO’s are preferring clinical SAS as the best tool to use for its safety and efficiency when compared with other software tools.
To understand the clinical data flow and to perform healthcare analytics one should have knowledge of SAS programming (BASE, ADVANCE).
Apart from the programming knowledge, an idea about CDISC and its standards like SDTM and Adam and TLF’s is a mandatory requirement.
Having knowledge of CDISC and the related SDTM and ADAM domains will make a clinical SAS much easy to understand.
Apart from programming and the CDISC knowledge the interaction with other departments will also play a major role in the clinical industry.
By Concerning about all these things, we came forward to provide the best career path in the field of pharma analytics by focussing more on relevant projects.
Career Scope in Pharma Analytics Industry
There is a massive demand for statistical programmers in the pharma sector. As the data in pharma domain is growing at a rate of 48% per year, and also the process of getting a drug to market requires an inordinate amount of clinical data analysis, they play a key part in the process whether they’re working at a drug company or a clinical research organization. Being a clinical SAS programmer there is a huge scope to switch into different departments like Clinical Data Management, CDISC Programming, Biostatistics, etc.
Here is the list of experience wise job openings for Clinical SAS Professionals in Pharma Sector
Designation / Job Role
Clinical SAS Programmer, Statistical Programmer, Trainee – Data Analyst, Consultant SAS Programmer
Clinical Data Manager, Bio- Statistician, etc.
(2- 4 Years)
Data Integration SAS programmer, Clinical Database Developer, etc.
(4- 6 Years)
Clinical Data Administrator, Protocol Data Manager, Technical Lead – Biostatistician, etc.
(6- 8 Years)
SAS Programming Manager, Sr. Statistical Programmer, Principal Biostatistician
(8- 10 Years)
Data Standardisation Specialist (CDISC Specialist), Team Leader, Director, etc.
And many more…
Eligibility & Criteria
To get a job in Pharma domain as a SAS expert, candidates need at least a bachelor’s degree in pharma.
A qualified programmer with a Base SAS certification is most preferable.
Life science graduates and postgraduates may choose pharma analytics as their best career choice.
People who are interested in analytics with good logical thinking may prefer clinical SAS as the best career.
The Bottom line
The pharma industry has visually perceived examples of prosperous drug development for targeted patient populations utilizing analytics. Analytics ascertains more preponderant prosperity in clinical trials and significantly more expeditious and more prosperous drug launches. Pharmaceutical companies need to increment the adoption rate of SAS analytics, to gain incipient insights for driving efficacious sales force management.
- 100% Real-Time Job Oriented in-house Training.
- Global SAS certification after successful completion of the module.
- SAS Digital badge
- Industry-specific Curriculum
- Free SAS® software for academic, non-commercial use - You'll gain access to the latest SAS software and programming for training and self-development
- Updated SAS study materials
- SAS Certified and Accredited Trainer
- Case study and Projects
- Affordable FEE with complementary study Material for students.
- Placement assistance & Internship opportunities in top Pharma MNC’s