Clinical Data Science
Work with the latest industry tools and learn how to apply them in the domain of clinical data science.
Why Clinical Data Science
The increasing demand for medicines is pressurizing pharmaceutical research and development organizations to adopt computational tools to make research processes more efficient. There is massive demand today for trained professionals in the cross-functional domain of Bio-IT.
In This Course
Get introduced to statistics with industry languages, R, SAS, SQL, Machine Learning, and Tableau. Receive end-to-end training on all Clinical research areas with a special focus on clinical trial management processes and documentation.
The Sollers Advantage
Our Certificate in Clinical Data Science program is taught by faculty experienced in the industry.
Proficient Instructors: Experts with 15+ years of industrial experience guiding students and providing real-time examples and scenarios.
Software and Tools: Get in-depth knowledge of Data Mining machine learning tools with R, SAS analytical tools, Data Visualization with Tableau, and SQL.
Curriculum: Job-oriented, industry-based curriculum, full-fledged access to program content, batch recordings, and tools after one year of program completion.
Certification: Students will receive a course completion certificate.
Career Guidance: Our career service advisors provide guidance for the resume and interview preparation.
References: References for the jobs in this field.
- Proficiency in statistics and R
- Expertise in Tableau, and handling bias issues in data visualization
- Understand and learn the Structured Query Language (SQL) and RMDBS standards
- Application of machine learning methodologies
- Understand the Drug Development Process and Clinical research process
- Expertise in SAS
- SAS Clinical with industry CDISC (SDTMand ADAM)
- SAS Clinical Data Integration
To get the complete syllabus, please login with your email ID.
Data Mining with R
To work on Clinical / Health Care data and predict the probability of risk for a patient to develop a particular disease.
Analysis Data Development – create analysis datasets for laboratory data.
QC of SDTM Dataset Development – generate Demography and Disposition dataset as per SDTM standards.
QC of AE and DM Tables – generate summary report for Demography and Adverse events data.
Data import from RDBMS to HDFS. Build MapReduce application, and write output to HDFS. Export data to RDBMS.
Work with the latest tools
Our instructors are not just highly experienced in the industry, they give you the personal attention you need and guide you every step of the way.
Data Mining Faculty
Mr Balachandra Kandukuri
Faculty of Clinical Research
Faculty of Drug Safety
Faculty of Drug Safety
15- 18 weeks (20+ hours each week)
3-4 Sessions /week
OUR STUDENTS WORK AT
Sollers partners with industry-leading corporations and provides them with ready-on-day-one employees. We record an 82% placement rate within three months of graduation.
After the completion of program, we assist our students with interview coaching, resume building sessions, conduct mock interviews, job readiness training and make them competent to venture into the corporate world.
We provide exclusive one-on-one sessions with our industry-based career advisors who provide guidance right from resume feedback, assisting with interview Q&As, and helping with job preparations.
“Sollers has great certificate and internship programs in Clinical Trials domain. I have recently completed Clinical Data Science program with Sollers. Their faculty, facilitators, career services all are knowledgeable and experienced in the field of Clinical Trial. I was very happy with the internship program too. They provided me with valuable guidance throughout my program, internship and job application process. I definitely would recommend Sollers.edu to anyone who wants to pursue education in Clinical Trial industry 👍🏼”
Thanks to the academic team at Sollers, I was able to gain quick admission with financial options to pay tuition. Career Services was very helpful with resume and interview prep. They sent me job postings with major hospitals and pharma companies which helped me land my current job as Data Manager in cancer clinical trials.
The Clinical Trial Management course is extensive, and the professors are thorough in delivering the course materials using real life experience and insight. Career Services helped me throughout the interview process, and I landed my dream job with the very first interview after graduating from Sollers.
Clinical Data Science is one of the fastest growing career paths and best paid career paths. Data scientists and clinical SAS analysts use a combination of programming, statistical perspective and domain expertise to do so. They are expected to be in large demand as businesses grow in storing the data that they generate to achieve competitive differentiation in their products and services.
The program focuses on the convergence between traditional clinical SAS analytics, and data science that’s been occurring within the healthcare industry for analytics. The curriculum will focus on Clinical research, clinical data management, SAS, SQL, statistical modeling, data visualization with Tableau and business analytics.
Our students come from all different backgrounds, with the most competitive candidates including those with Bachelors, Masters, or PhD Degree in Statistics, and Sciences. Some have similar backgrounds to Clinical Research.
Our 300-hour program can be completed in as little as 15 weeks – All of the programs offered by Sollers have been designed to best suit those seeking to enter the fields of clinical research, healthcare, pharmaceuticals, and IT among other domains.
It is preferable that a student be a Bachelors or a Masters graduate in STEM / Science; including Statistics, Engineering, Computer Science or other sciences. Some students may have sufficient knowledge in some areas.
Clinical Data Science is one of the fastest growing and best paid career paths. According to the Global Clinical Data Analytics Market (2019) Report, by Journal Worldwide, the market will grow to an even stronger $16.58 Billion by the end of 2023 – with a growth rate (CAGR) of 33.07% per year. This represents an incredible opportunity to get in on the ‘ground floor’ of a major revolution in clinical data science!
Core knowledge of Clinical SAS Analytics and Data Science topics; including Clinical research, Clinical data management, statistics, and data visualization, with conceptual and practical application of theories and tools used by the industry
Experience in using Statistical Analysis and Database management tools such as SAS, MySql, Tableau, R, Python
Ability to Dive into the workplace with a competitive skill set by taking large amounts of data and get heavily involved in the life cycle of a full-fledged Clinical SAS Analyst
Anybody with a background in a STEM, computer science or statistics, who would like to broaden or advance their career opportunities.