**Senior Engineer – Research Data Scientist, Discovery Technologies**

Working in Amgen’s Discovery Technology organization, the incumbent will be responsible for the integration of early-stage drug discovery software, equipment & instruments into existing data processing workflows. The incumbent will also play a significant role in the standardization and optimization of research data analysis techniques and processing workflows, including the application of machine learning and deep-learning techniques, to resolve data processing bottlenecks. To be effective in this role, the incumbent will need to interface with research scientists, the Research Informatics team and management to implement relevant solutions.

Other duties include the development, enhancement and maintenance of software that enables transfer of research data between existing enterprise database systems, as well as the development and maintenance of software platforms to support existing and novel screening platforms (e.g. HTS, affinity mass spectrometry, microscopy-based imaging, electrophysiology, automated data QC, DNA encoded library screening).

The incumbent will also be responsible for bridging research scientists’ needs with resources that are available in Amgen’s larger information technology organization. In this role, they will liaise with interdisciplinary, multinational, research-related software development project teams consisting of information technology staff, project managers, software specialists and research scientists.

**Basic Qualifications**

Doctorate Degree


Master’s Degree and 3 years of Engineering experience


Bachelor’s Degree and 5 years of Engineering experience


Associate’s degree and 10 years of Engineering experience


High school diploma/GED and 12 years of Engineering experience

**Preferred Qualifications**

Degree in Computer Science with successful track record in developing bioinformatics or cheminformatics software applications

Technical skills in one or more of the following: Python, Java, C#, R programming; Databases (e.g. Oracle, SQL Server, PL/SQL); Integration frameworks (e.g. Pipeline Pilot); Data Analysis and Quality Control (e.g. Genedata Screener); Data visualization tools (e.g. Tibco Spotfire, D3); LIMS software (e.g. Titian Mosaic, BIOVIA, Core LIMS); Web development (e.g. SharePoint); Cloud-based development (e.g. AWS); Deep learning tools (e.g. nVidia DIGITS, TensorFlow).

* 5+ years successful experience working in a drug discovery-based informatics or software development environment

Broad expertise in software platforms necessary for biotechnology, automation & bioinformatics research environments

Knowledge of principles in data analysis, statistics and quality control of scientific data

Attention to detail, strong mathematical & quantitative analysis skills

Image Analysis and image data curation expertise (e.g. PerkinElmer Columbus / Acapella / Harmony)

Ability to participate in cross functional project teams consisting of scientists, software development engineers. Effectively represent and advocate their organizational needs and escalate issues to senior management

Excellent peer-to-peer communication skills

Time management skills, including the ability to deliver results in a timely fashion

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, or disability status.

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