Specialist Scientific IS Business Analyst

Amgen•Thousand Oaks, CA

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist Scientific IS Business Analyst What you will do Let’s do this. Let’s change the world. In this vital role, you will work closely with Amgen Research partners and Technology peers to ensure that the technology/data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software and infrastructure that enables the capture, processing, storage, analysis and reporting of pre-clinical and clinical omics (genomics, proteomics, transcriptomics, epigenomics etc.) data. In addition, this role works closely with In Vivo – biological studies team to support lead optimization studies. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. This role also entails understanding business needs for AI enabled solutions and facilitating building of data connectors to various data sources.

Requirements

Doctorate degree OR Master’s degree and 2 years of Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field OR Bachelor’s degree and 4 years of Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field OR Associate’s degree and 8 years of Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field OR High school diploma / GED and 10 years of Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field
Expertise in Omics data management and analysis (Genomics, Proteomics, Transcriptomics etc.) including understanding of disease biology.
Experience with bioinformatics tools and research workflows used to manage omics data.
Knowledge of in vivo research workflows, study data, experimental metadata and analytics.
Familiarity with research imaging modalities, techniques and analytics.
Good understanding of database technology (e.g. RDBMS, Databricks).
Able to work under minimal supervision.
Excellent analytical and gap/fit assessment skills.
Strong verbal and written communication skills.
Ability to work effectively with global, virtual teams.
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.

Nice To Haves

4+ years of experience in implementing and supporting biopharma scientific software platforms along with understanding of research in vivo studies and data analytics.
Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA.
Knowledge of handling GxP data and system validation (i.e. GCP).
Understanding of AI and machine learning for drug discovery research and preclinical development.
Exposure to radiomics or high-content imaging.
Familiarity with AI/ML-based imaging analysis pipelines.
In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe.
Experience managing vendors, licenses in support of a Product team.
Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology.
Experience with platforms such as Benchling, or other LIMS.
Understanding of cloud technologies, pipelines, and data storage.
SAFe for Teams certification (preferred).

Responsibilities

Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team.
Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations.
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.
Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques and advances in imaging techniques (e.g. Radiomics, cell painting, high content cell-based imaging), including data generation, processing, and analysis.
Develop and maintain a product roadmap that clearly outlines planned features and enhancements, timelines, and milestones.
Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance.
Develop documentation, communication plans, and training plans for end users.
Ensure scientific data operations are scoped into building research-wide Artificial Intelligence and Machine Learning capabilities.
Ensure operational excellence, cybersecurity, and compliance.
Collaborate with geographically dispersed teams, including those in North America and other international locations.
Foster a culture of collaboration, innovation, and continuous improvement.

Benefits

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible.

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