Scientific Business Analyst (Sr. Associate) m/f/d

To enhance our DTI Team, we are seeking a qualified, professional, personable, and reliable

Senior Associate Scientific Business Analyst – Research Informatics (m/f/d)

Live

What You Will Do

Let’s change the world together. We are looking for a highly motivated and diligent business systems analyst with life sciences expertise to support the informatics needs of our global drug discovery research organization at Amgen. In this role based out of our site in Munich, 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 platforms that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies, as well as those that manage compound inventories / Biobanks. You will play a pivotal role in shaping the software ecosystem in the assay informatics area, ensuring that it meets both current and future needs of Amgen’s research and development. 

Your Key Responsibilities:

• Requirements Elicitation: Partner with Research scientists to understand their needs and define informatics system requirements for experimental data and metadata management.

• Data Integration: Facilitate seamless integration of assay/study metadata, compound information, experimental results, etc. into cohesive systems for research teams, ensuring data consistency.

• System Implementation: Lead or assist with the deployment of scientific software platforms, Electronic Lab Notebook (ELN), and Laboratory Information Management Systems (LIMS).

• Data Visualization: Use platforms such as plotly-Dash, Spotfire, Tableau, Power BI, etc., to build interactive dashboards that enable scientists to visualize and analyze complex experimental data, facilitating data-driven decisions in research workflows.

• AI Integration for Molecule Characterization: Implement and manage AI/ML tools that support the design of experiments with predicted success, and enhancement of molecule potency & efficacy.

• Process Optimization: Find opportunities to improve workflows using hardware-software automations, AI-driven insights and data visualization tools.

• Testing & Compliance: Oversee test plans to ensure informatics and AI solutions meet specifications and support scientific teams while adhering to Amgen standards.

• Documentation: Create and maintain clear and detailed documentation for system requirements, business processes, data flows, system configurations, and user guides.

• Training & Support: Deliver training on scientific software tools, data analysis and analytics platforms, AI capabilities, LIMS and ELNs.

• Collaboration & Communication: Act as a bridge between research teams, technology teams, and software vendors to align system functionalities with user needs and manage project expectations. Foster collaboration with diverse teams including bench scientists, data scientists, software engineers, and data engineers.

Win

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients. The qualified professional we seek is a driven individual with these qualifications:

Basic Qualifications:

• Master’s degree in Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field, OR

• Bachelor’s degree in Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field, with 4-6 years of relevant experience OR

• Diploma with 6-8 years of relevant experience in Life Sciences, Bioinformatics, Computer Science, Information Systems, or related field.

• German A2, English C1

Preferred Qualifications:

• Scientific Domain Expertise: Solid background in biological science or bioinformatics; Expertise in assay technologies and related data analysis.

• Scientific Software Expertise: Experience using or supporting platforms from scientific software providers such as Genedata, Revvity, Benchling, IDBS, Biovia,LabVantage, etc.

• Experience in cloud environments (preferably AWS), DevOps practices, working with APIs, test automation, technical solutioning, and scripting or programming in SQL, Python, or Java is highly valued.

• Laboratory Experience: Hands-on experience performing or supporting data capture from instruments in a research laboratory.

• AI Use Cases: Experience in AI and machine learning for drug discovery research and preclinical development.

• Agile Methodologies: Experience with Agile methodologies, including managing product backlogs using tools like Jira.

Skills:

• Problem-Solving: Strong analytical skills with the ability to solve complex technology and data challenges.

• Collaboration: Demonstrable ability to collaborate with multi-functional teams of chemists, biologists, computational scientists, software engineers, and vendors to drive successful informatics implementations.Energy, adaptability, and willingness to collaborate across time zones.

• Communication: Excellent verbal and written communication skills, with the ability to communicate complex technical information to both technical and non-technical collaborators.

• Business Analysis and Project Management: Demonstrated experience in managing informatics projects, eliciting requirements, prioritizing tasks, and ensuring timely delivery of solutions.

Thrive

What we offer

• Flexible working hours

• 38-hour work week

• 30 days of vacation

• Additional vacation for various occasions (weddings, relocations, etc.)

• EGYM Wellpass

• Busuu language learning app

• Company pension plan

• Childcare allowance

• Employee recognition program

• Employee assistance program