Job Description

200+ compounds in Novartis are supported by bio statisticians in 10+ sites around the globe. Biostatisticians transform clinical data into analyses that build the basis for making drugs accessible for patients. They influence decision-making in cross-functional international teams from early to late phase drug development. Come to an industry leader where you will be responsible for all statistical work, scientific and operational, in collaboration with the clinical trial team. You will have the opportunity to support trial/project/disease-level deliverables for clinical development/research projects with supervision. You will develop and implement modern and innovative clinical trial/experimental designs, statistical methodology in collaboration with a cross-functional team.
Your key responsibilities:
Your responsibilities include, but are not limited to:

• All data science tasks assigned clinical or non-clinical projects. Implementing data science planning, data provisioning, activities including analyses, reporting and communication of methods and results, ensuring reproducible and agile ways of working. Contribute to planning and execution of exploratory analyses, and/or PK, PK/PD analyses, biomarker and diagnostic analyses, and data science consultation. Initiate, drive and implement novel and innovative methods in alignment with other quantitative team members. Meetings with and responses to Health Authorities and other drug development activities, as required.
• Contribute to interactions with external review boards/ethics committees, external consultants, and other external parties with oversight as appropriate. Represent Novartis in data science discussions at external congresses, conferences, scientific meetings. Represent the Analytics Line Function on cross-functional teams for the assigned projects. Responsible for functional alignment and ensuring line function awareness throughout the assigned projects. Collaborate with other line functions. Explain methods and results in a manner easily understood by non-analytical folks, and provide adequate justifications, sensitivity analyses for actions/decisions/statements, when required.
• Project level: Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover practical insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains. Able to use business presentations, visualization tools and contextual storytelling to translate findings back to business users with a clear impact.
• Oversee all Data science resources and deliverables for assigned projects. Track trial timelines and breakthroughs with increasing autonomy. Ensure timeliness and adequate quality, reliability, and reproducibility of all Data Science deliverables for the assigned projects and/or non-clinical related activities. Contribute to project team preparation for HA Advisory Committees and meetings as applicable. No direct team management. Contribute to planning, assessment, prioritization and tracking of effective partnership with vendors. Franchise or Global Line Function level: Significantly contribute to initiatives at global line function level.
• Enterprise level: Actively contribute to cross-functional organizational / process /scientific consulting improvement initiatives. Contribute to the review and implementation of health authority guidelines. Identify, evaluate, and promote the use and the acceptance of innovative methods, through scientific collaborations, publications, presentations, and chairing sessions at professional meetings.
• External level: Contribute to interactions with external review boards/ethics committees, external consultants, and other parties with oversight as appropriate. Represent Novartis in statistical discussions at external congresses, conferences, scientific meetings.
• People Management: Mentor new hires and/or junior Statisticians. Establish and maintain sound working relationships and effective communication with the Clinical Colleagues and Biostatistics & Pharmacometrics team.

Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Minimum requirements
Minimum Requirements:

• MS (in Statistics or equivalent) with 4+ years’ work experience or PhD (in Statistics or equivalent) with work experience (including internship).
• Fluent English (oral and written). Good communication and presentation skills.
• Experience/Professional Requirement: Influences decisions that directly impact the assigned clinical trial and team ability to deliver objectives. Proven knowledge and expertise in data science and its application to clinical trials. Depending on the assignment, may require proven expertise in pharmacokinetics, exposure-response modelling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills. Proficiency in use of software packages (e.g., Python, R). Knowledge of drug development and Health Authority guidelines. Able to work on a multidisciplinary team to achieve team objectives.
• Experience in Franchise/Therapeutic Area and/or regulatory activities would be advantageous.

Why Novartis?
769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to tackle the world’s toughest medical challenges aggressively and ambitiously. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Division
Global Drug Development
Business Unit
CD&A GDD
Country
India
Work Location
Hyderabad, AP
Company/Legal Entity
Nov Hltcr Shared Services Ind
Functional Area
Data Science
Job Type
Full Time
Employment Type
Regular
Shift Work
No
Early Talent
No