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
- Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny)
- 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
- Masters degree and 4 to 6 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR
- Bachelors 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:
- 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:
- Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data
- Excellent communication skills and experience creating impactful slide decks with data
- Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team
- 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 expertise in a scientific domain area and related technology needs
- Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts
- Understanding of scientific data strategy, data governance, data infrastructure
- Experience with cloud (e.g. AWS) and on-premise compute infrastructure
- Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes)
- Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects
- Ability to deliver features meeting research user demands using Agile methodology
- An ongoing commitment to learning and staying at the forefront of AI/ML advancements.
- 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)
- 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.
