Opening for Data Analyst in Pharmaceutical company for BKC location

Job Description:

Role: Sr. Analyst

THE ROLE IS ON A CONTRACT AND THE CONTRACT IS AUTO RENEWABLE EVERY YEAR, PAYROLL COMPANY IS TALISMAN.

Years of experience: 2 Yrs

Location: BKC

Working days: Monday to Friday

Job Purpose:
The Senior Analyst, Global Data Science & Analytics will work with a team of data scientists and data engineers
to deliver data science solutions. The Sr. Analyst will leverage data analysis and life sciences skills to support
various projects for internal and external stakeholders, for example deriving data-driven insights to guide clinical
trial design, performing real-world data studies to monitor performance of medical devices and providing realtime
intelligence on market share. These projects use machine learning, artificial intelligence, statistical modeling,
data mining, and visualization techniques to provide analytics solutions to a wide range of challenging business
problems.

Knowledge, Experience and Education:

Education: Bachelor's degree

a. Bachelor’s degree in an engineering or science field (example: biomedical engineering, biotechnology,
bioinformatics, biostatistics or similar) with a demonstrable focus on programming and data analysis

b. Years of experience, both overall and any industry-specific experience needed:
Minimum 2 years of work experience required, preferably working on life sciences focused projects
Familiarity with at least one programming language (Python, PySpark, SQL, R)
Knowledge of at least one database software preferable but not required (Databricks/SQL)

Other qualifications/certifications.

1-2 years of experience in medical device/pharmaceutical industry or experience working with
health insurance claims preferred
Able to work both independently and as a team member
Experience coordinating and prioritizing for multiple tasks
Good organizational and time management skills
Able to communicate effectively, both orally and in writing
Excellent attention to detail and accuracy

Major Accountabilities

Conduct statistical analysis of real-world datasets (Example: Claims, EHR) based on the scientific hypothesis
2. Perform programming in Python, SQL and/or R to analyze insurance claims and other medical data.
3. Provide study support by reading and summarizing relevant background material, clinical study papers and publications.
4. Lead activities performed to keep an ML model running smoothly, adaptively, and effectively post-deployment.
5. Assist in interpretation and presentation of results through figures/tables/reports,including necessary explanation of data and analysis. 6. Work as part of a team to understand and deliver solutions for complex data and business problems.

Principle Challenges: Select the option that best describes the typical situations/problems the job faces from the
drop down, and then provide an example of a typical challenge and how the jobholder would solve it.
Follows diverse procedures and problems require consideration of many different approaches. Solutions are
selected from alternatives using past experience
Solution: candidate must work on projects for multiple verticals, which will involve building upon existing code and
scripts to adapt and create new code for different projects. Candidate must use life sciences background and
contribute to feasibility assessment of new scientific projects. In addition, candidate might be required to support
rerunning of data models for existing dashboards and troubleshooting issues in programming.

WhatsApp link: https://wa.me/7738039618

📩 If Interested, please drop your CV on vacancy@talismanstaffing.com or send it to 7738039618.