Scientist – MS Biomarker Research, Proteomics

Jobtailor

Biberach an der Riß

Vor Ort

EUR 70.000 - 110.000

Vollzeit

Vor 8 Tagen
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Zusammenfassung

Boehringer Ingelheim is seeking a highly skilled proteomics scientist to lead biomarker discovery and proteomics projects using DIA workflows on Orbitrap systems. You will design and execute complex experiments, analyze data, and collaborate across cross-functional teams to advance drug discovery.

The role requires strong expertise in LC-MS, proteomics software, and data analysis, with a focus on translational research and mechanism-of-action elucidation. English communications are essential.

Qualifikationen

  • Master’s degree or PhD in mass spectrometry-based proteomics, biochemistry, pharmacology, or related field.
  • Several years of hands-on experience with DIA workflows on a Thermo Orbitrap Astral mass spectrometer.
  • Experience with state-of-the-art proteomics workflows.
  • Experience in sample preparation from cells and tissues for LC-MS analyses.
  • Experience with disease-relevant animal models for translational aspects is a plus.
  • Solid understanding of biochemistry, molecular mechanisms, and pharmacology relevant to drug discovery.
  • Conceptual understanding of biomarkers in drug discovery and development, with some experience.
  • Expertise operating mass spectrometry platforms (Orbitrap, QTOF, etc.) and proteomics analysis software.

Aufgaben

  • Scientifically review requests for biomarker discovery and quantitation.
  • Align the purpose and path forward with partners in project teams.
  • Lead the design, execution, and analysis of proteomics experiments, including biomarker discovery, targeted quantification, PTM identification, and interactome determination.
  • Use omics platforms for translational topics, NTC confirmation, functional validation, and mechanism-of-action elucidation.
  • Generate and analyze proteomics samples.
  • Operate and maintain LC-MS systems.
  • Advance scientific and proteomics workflows through innovative approaches.
  • Educate and train Boehringer Ingelheim colleagues in proteomic analysis.
  • Represent the scientific discipline in cross-functional teams and contribute to discovery portfolio opportunities.

Kenntnisse

Mass Spectrometry-Based Proteomics
DIA Workflows
LC-MS Sample Preparation
Proteomics Workflow Expertise
Fluent English Communication
Data Analysis
Collaboration
Independence in Research
Biomarker Discovery Knowledge

Ausbildung

Master’s degree or PhD in proteomics/biochemistry/pharmacology

Tools

Thermo Orbitrap Astral Mass Spectrometer
LC-MS Systems
Proteomics Analysis Software

Jobbeschreibung

  • Scientifically review requests for biomarker discovery and quantitation
  • Align the purpose and path forward with partners in project teams
  • Lead the design, execution, and analysis of proteomics experiments, including biomarker discovery, targeted quantification, PTM identification, and interactome determination
  • Use omics platforms for translational topics, NTC confirmation, functional validation, and mechanism-of-action elucidation
  • Generate and analyze proteomics samples
  • Operate and maintain various LC-MS systems
  • Advance scientific and proteomics workflows through innovative approaches
  • Educate and train Boehringer Ingelheim colleagues in proteomic analysis
  • Continue developing scientific and drug development expertise
  • Represent the scientific discipline in cross-functional teams and contribute to discovery portfolio opportunities
Requirements
  • Completed Master’s degree / PhD in mass spectrometry-based proteomics, biochemistry, pharmacology, or a related scientific discipline
  • Several years of relevant hands‑on experience with data‑independent acquisition (DIA) workflows on a Thermo Orbitrap Astral mass spectrometer
  • First insights into drug discovery programs within the pharma industry beneficial
  • Experience with state‑of‑the‑art proteomics workflows
  • Experience in sample preparation from cells and tissues for LC-MS analyses
  • First experience with characterizing disease‑relevant animal models for translational aspects is a plus
  • Solid understanding of biochemistry, molecular mechanisms, and pharmacology relevant to drug discovery
  • Conceptual understanding of biomarkers in drug discovery and development, paired with first experience in this field
  • Expertise in operating mass spectrometry platforms (Orbitrap, QTOF, etc.)
  • Expert understanding of respective analysis software
  • Analytical mindset and ability to work independently and collaboratively in an interdisciplinary research environment
  • Critical and creative thinking; self‑motivated to innovate
  • Excellent data analysis, data management, and presentation skills
  • Fluent written and spoken English
  • German language skills are a plus
  • Application documents must be submitted in English
Core Competencies

Demonstrates expertise in mass spectrometry‑based proteomics, including biomarker discovery and quantification, while effectively collaborating in cross‑functional teams to advance drug development initiatives. Proficient in operating and maintaining LC-MS systems and applying innovative approaches to proteomics workflows.

Highest‑signal resume keywords
  • Mass Spectrometry-Based Proteomics
  • Data-Independent Acquisition (DIA) Workflows
  • LC-MS Sample Preparation
  • Proteomics Workflow Expertise
  • Fluent English Communication
ATS Optimization Keywords
Hard Skills
  • Biomarker Discovery
  • Proteomics Experiment Design
  • Data Analysis
  • Analytical Skills
  • Molecular Mechanisms Understanding
  • Pharmacology Knowledge
  • Mass Spectrometry Operation
  • Proteomics Sample Generation
  • PTM Identification
  • Interactome Determination
Soft Skills
  • Critical Thinking
  • Creative Thinking
  • Self-Motivation
  • Collaboration
  • Training and Education
Industry Keywords
  • Drug Discovery
  • Pharma Industry
  • Translational Research
  • Biochemistry
  • Pharmacology
Tools & Technologies
  • Thermo Orbitrap Astral Mass Spectrometer
  • LC-MS Systems
  • Proteomics Analysis Software
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