Scientific Business Analyst

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
• Serve as Agile team scrum master or project manager as needed
• Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations
• Conduct market research, new platform and technology evaluations
• Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations
• Translate complex 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

• Doctorate degree OR Master s degree and 4 to 6 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR
• Bachelor s degree and 6 to 8 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR
• Diploma and 10 to 12 years of Life Science / Biotechnology / Pharmacology / Information Systems experience

Preferred Qualifications:

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

Functional Skills:

Must-Have Skills (Not more than 3 to 4):

• Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data
• Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
• Understanding of knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains
• Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team
• An ongoing commitment to learning and staying at the forefront of AI/ML advancements.

Good-to-Have Skills:

• Demonstrated expertise in a scientific domain area and related technology needs
• Understanding of scientific data strategy, data governance, data infrastructure
• Experience with cloud (e. g. AWS) and on-premise compute infrastructure
• Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
• Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, python
• Experience creating impactful slide decks and communicating data
• Ability to deliver features meeting research user demands using Agile methodology
• 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 (please mention if the certification is preferred or mandatory for the role):
• SAFe for Teams certification (preferred)
• Certified SAFe Scrum Master or similar (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.