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Associate Scientist Data Analysis, Germany

Germany - Planegg

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
Not stated
Work authorization
Not stated
Apply at Abbott Laboratories

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.

What you’ll bring

All qualifications

Core experience

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

Preferred experience

  • 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.
Qualification wording
Bachelor’s degree in STEM fields.
2+ years of relevant industry experience.
Demonstrated ability to apply statistical and data analysis methods in biochemistry / proteomics.
Demonstrated ability to perform the Essential Duties of the position with or without accommodation.
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.
Education & alternatives
Minimum Qualifications - Bachelor’s degree in STEM fields. - 2+ years of relevant industry experience.
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.

Tools in this posting

  • Python
  • AWS
Source — Tool mentions in context
- Demonstrated ability to apply statistical and data analysis methods in biochemistry / proteomics. - Proficient in Python. - Authorization to work in Germany.
- 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.

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Status in our records
Live
First seen by us
Sep 12, 2026 · 52 days ago
Recorded sightings
49
Last seen by us
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

     

JOB DESCRIPTION:

Position Overview

The Associate Scientist Data Analysis, with limited guidance from more experienced scientists, works on projects which are moderate to complex in scope. The Associate Scientist Data Analysis, 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 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.


     

The base pay for this position is

N/A

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Research and Discovery

     

DIVISION:

ONCO Cancer Diagnostics

        

LOCATION:

Germany > Planegg : Behringstrasse 6

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:

Not Applicable

     

     

     

Source details

View original posting ↗

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Pay

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Location & working pattern

Germany - Planegg

- 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
Work authorization

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