Scientific Business Analyst - Research Data and Analytics

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

• SAFe for Teams certification (preferred)

Soft Skills:

• Strong transformation and change management experience.
• Exceptional collaboration and communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.
• Strong presentation and public speaking skills.