Sr Associate Business Analyst – Research Data and Analytics

Amgen · India - Hyderabad · 3 months ago

Seniority: Senior
Category: Business analysis
Experience: 5+ years
Company size: 1000+

accessibility agile ai analytics aws bioinformatics cloud data-quality databricks

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value – supporting our mission “To Serve Patients”.

The Amgen India Digital Technology & Innovation (DTI) Scientific Business Analyst (BA) role will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives.

This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure.

Roles & Responsibilities:

Collaborate with global research teams to support data and analytics needs across biologics discovery, protein engineering, and preclinical studies
Act as a Scientific Business Analyst within a SAFe team, providing biological domain expertise in assay data, molecular characterization, and cell-based studies
Partner with scientists to capture and translate requirements related to biologics design, screening assays, and in vitro/in vivo experiments into actionable user stories
Develop insightful dashboards and applications to enable analysis of experimental data, assay results, and biological performance metrics (e.g., Spotfire, Tableau, Dash, Streamlit, RShiny)
Support integration of data from ELN/LIMS and research systems, ensuring consistent and accessible biological datasets
Contribute to data harmonization and standardization across biologics workflows to enable cross-study analysis
Support data migration and integration to Benchling, ensuring high-quality, well-structured biological and experimental data
Identify risks related to data quality, experimental variability, and user adoption, and drive mitigation strategies
Create documentation, training, and communication materials to support scientists in adopting data and analytics solutions
Enable incorporation of biological data into AI/ML-driven research workflows

Basic Qualifications

Master’s degree OR Bachelor’s degree and 5 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Preferred Qualifications:

BS/MS/PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science, or Engineering
3+ years of experience supporting scientific research data and analytics in a biopharma environment
Experience working with research data domains (e.g., omics, assay data, preclinical datasets)

Functional Skills:

Must-Have Skills:

Strong analytical and problem-solving skills with the ability to interpret complex scientific data and derive actionable insights for research and drug discovery
Proven ability to gather, structure, and translate business and scientific requirements into clear analytical and reporting solutions
Effective communication and stakeholder management skills, with experience working across scientific, technical, and business teams
Hands-on experience with data analysis, visualization, and dashboarding tools (e.g., Spotfire, Tableau, Dash, Streamlit, RShiny, Databricks)
Proficiency in SQL and at least one programming language (Python or R) for data analysis and exploratory workflows

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

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

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

SAFe for Teams certification (preferred)

SAFe Scrum Master or similar (preferred)

Soft Skills:

Ability to drive change and user adoption of research data platforms and analytics solutions within scientific teams
Strong stakeholder engagement skills, with the ability to bridge communication between scientists, data teams, and IT
Proactive and self-driven, with the ability to independently manage analysis, requirements, and deliverables
Capability to prioritize and balance multiple initiatives aligned to research timelines and product delivery cycles
Collaborative mindset with experience working in cross-functional, global teams to deliver shared outcomes

Effective in presenting insights, facilitating discussions, and influencing decisions based on data and business needs

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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