Roles & Responsibilities:

Collaborate with geographically dispersed teams, including those in the US, EU and other international locations.
Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices.
Foster a culture of collaboration, innovation, and continuous improvement.
Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team
Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
Translate scientific and technological needs into clear, actionable requirements for development teams
Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones
Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance
Develop documentations, communication plans and training plans for end users
Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities
Ensure operational excellence, cybersecurity and compliance.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Masters degree and 0 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience OR
Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Preferred Qualifications:

BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering
3+ years of experience in implementing and supporting biopharma scientific research data analytics

Functional Skills:

Must-Have Skills:

Learning agility, excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data
Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team
An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R

Good-to-Have Skills:

Demonstrated background in a scientific domain area and related technology needs
Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
Background with cloud (e.g. AWS) and on-premise compute infrastructure
We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment.

Professional Certifications

Soft Skills:

Advanced Data Analyst

SAP Ariba Upstream Lead