Freshers Job @ Novartis as Data Scientist in Global Drug Development Domain

Novartis mission is to discover new ways to improve and extend people’s lives.
We use science-based innovation to address some of society’s most challenging healthcare issues. We discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible. We also aim to provide a shareholder return that rewards those who invest their money, time and ideas in our company.

Job ID : 198992BR

Position Title : Data Scientist

Division : Global Drug Development

Business Unit : GDO GDD

Country : India

Work Location : Hyderabad

Company/Legal Entity : Nov Hltcr Shared Services Ind

Functional Area : Research & Development

Job Type : Full Time

Employment : Type Regular

Job Description :

• To provide quantitative analytical support for Pharma Development, including IDFR and Development Franchises.
• These tasks are to be performed independently or with minimal supervision.
• To provide quantitative analytical support to the IDFR and Development Franchises. Research and develop new algorithms, methods and models for understanding and providing insight into structured and unstructured data Support the planning, execution and close-out of Clinical Programs/Trials.
• Provide understandable and actionable business intelligence for key stakeholders.
• Support the management in collation and delivery of information packages for critical decision making.
• Work with the internal SMEs and key stakeholders in providing analysis and interpretation of clinical program/trial operational efficiencies.

Minimum requirements :

• Masters/Bachelor’s Degree in Economics, Econometrics, Statistics, Mathematics, Operations Research, Engineering (Biotech, Computer Science, Information Technology), Pharmaceutical, Life Science or si Fluent English (Oral and Written)
• 0-3 years’ experience in data Analytics /Data science or related fields.

Required skills:

• Good quantitative & systems background.
• Some level of building statistical models under supervision.
• Knowledge of R, SAS, Excel, Matlab or other programming languages and tools.

Desired skills:

• Understanding of trends in “big data”,
• Understanding or experience of building logistic regression, Machine learning algorithms like Support Vector Machines.
• Ability to work independently, in teams, under pressure, demonstrating initiative and flexibility through effective and innovative technical ability

Click to Apply Online