Career Category
Information Systems
Job Description
Join Amgenâs Mission of Serving Patients
At Amgen, if you feel like youâre part of something bigger, itâs because you are. Our shared missionâto serve patients living with serious illnessesâdrives all that we do.
Since 1980, weâve helped pioneer the world of biotech in our fight against the worldâs toughest diseases. With our focus on four therapeutic areas âOncology, Inflammation, General Medicine, and Rare Diseaseâ we reach millions of patients each year. As a member of the Amgen team, youâll 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, youâll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Engineer -R&D-Multi Omics
What you will do
Letâs do this. Letâs change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen.
- Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions
- Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks
- Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency
- Optimize large datasets for query performance
- Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs
- Implement data security and privacy measures to protect sensitive data
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
- Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
- Identify and resolve data-related challenges
- Adhere to best practices for coding, testing, and designing reusable code/component
- Explore new tools and technologies that will help to improve ETL platform performance
- Participate in sprint planning meetings and provide estimations on technical implementation
- Maintain documentation of processes, systems, and solutions
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The role requires proficiency in scientific software development (e.g. Python, R, Rshiny, Plotly Dash, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc).
Basic Qualifications:
- Masterâs degree/Bachelors Degree and 5 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience.
Preferred Qualifications:
- 5+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms.
Functional Skills:
Must-Have Skills:
- Proficiency with SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks
- Hands on experience with big data technologies and platforms, such as Databricks (or equivalent), Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
- Excellent problem-solving skills and the ability to work with large, complex datasets
Good-to-Have Skills:
- Experience the git, CICD and the software development lifecycle
- Experience with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) or Databricks
- Experience with cloud computing platforms and infrastructure (AWS preferred)
- Experience using and adopting Agile Framework
- A passion for tackling complex challenges in drug discovery with technology and data
- Basic understanding of data modeling, data warehousing, and data integration concepts
- Experience with data visualization tools (e.g. Dash, Plotly, Spotfire)
- Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming
- Experience writing and maintaining technical documentation in Confluence
Professional Certifications:
- Databricks Certified Data Engineer Professional preferred
Soft Skills:
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- High degree of initiative and self-motivation.
- Demonstrated presentation skills
- Ability to manage multiple priorities successfully.
- Team-oriented with a focus on achieving team goals.
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, weâll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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 accommodation.
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