Associate Research Scientist II, Germany

Abbott; Planegg; On-site; EUR 60,000 - 90,000; Full time

Job summary

Abbott Laboratories is seeking an Associate Data Research Scientist II to contribute to data analysis for proteomics and immunoassay workflows within R&D, translating ideas into diagnostic assay development. You will plan experiments, analyze complex data, and present findings to cross-functional teams.

The role emphasizes statistical methods, collaboration, and hands-on analysis on-site in Germany, with opportunities to advance within the development pipeline.

Qualifications

• Bachelor’s degree in STEM fields.
• 2+ years of relevant industry experience.
• Hands-on data analysis experience in protein biochemistry.
• Demonstrated ability to apply statistical and data analysis methods in biochemistry / proteomics.
• Proficient in Python.
• Authorization to work in Germany.

Responsibilities

• Conduct and plan data analysis for proteomics / immunoassay methods.
• Prepare reports and documentation of data analysis results.
• Work within project timeframes and collaborate with team members.
• Communicate results clearly to supervisor and groups.
• Collaborate effectively within team and department.
• Regular and reliable on-site attendance.
• Primary focus is data analysis of proteomics and immunoassay methods.

Skills

Python

Data analysis

Statistics

Proteomics

Biochemistry

Education

Bachelor's degree in STEM

Master's degree (preferred)

Tools

AWS

Job description

Position Overview

The Associate Data Research Scientist II, with limited guidance from more experienced scientists, works on projects which are moderate to complex in scope. The Associate Data Research Scientist II participates in planning of projects and experiments and is responsible for the analysis of data of experimental workflows. Working in a team setting, the Associate Data Research Scientist II will primarily be involved in Research and Development projects and actively participates in translating research ideas and concepts into the product development pipeline towards development of diagnostic assay products.

Essential Duties

include but are not limited to the following:

• Conduct, and with some guidance, plan Data Analysis for Proteomics / Immunoassay methods.
• Effectively utilize and apply methods or technologies and provide ideas for new techniques, when appropriate.
• Prepare reports and documentation providing the analysis or summarization of data analysis results and outcomes to supervisor, technical teams/groups, or project teams.
• Work on individual assignments and with project team members, as appropriate, to meet department and project objectives.
• Work within project timeframes that are established collaboratively by team members.
• Exercise discretion and independent judgement to interpret results, analyze data, and present findings in a professional and knowledgeable manner.
• Ability to communicate clearly with supervisor and group members.
• Ability to collaborate and work effectively within team and department.
• Strong attention to details.
• Ability to effectively work on several varied projects at one time, with frequent changing priorities.
• Successful in analytical, problem solving, and decision-making skills.
• Successful in technical proficiency, scientific creativity, collaboration with others, and independent thought.
• Regular and reliable on-site attendance.
• Positions primary focus is data analysis of Proteomics and Immunoassay methods

Minimum Qualifications

• Bachelor’s degree in STEM fields.
• 2+ years of relevant industry experience.
• Hands-on data analysis experience in protein biochemistry.
• Demonstrated ability to apply statistical and data analysis methods in biochemistry / proteomics.
• Proficient in Python.
• Authorization to work in Germany.
• Demonstrated ability to perform the Essential Duties of the position with or without accommodation.

Preferred Qualifications

• Master’s degree in STEM fields.
• 2+ years of relevant industry experience in the field of bioinformatics, data analyst or any related fields.
• Practical knowledge on AWS.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company’s affirmative action program are available to any applicant or employee for inspection upon request.