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Computational Chemical Biologist (all genders)

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Bayer

Nov 13, 2024

Applications are closed

  • Job
    Full-time
    Junior & Mid Level
  • Science
    Research & Development
  • Wuppertal

Requirements

  • PhD in Computational Biology or Systems Biology with a strong background in experimental Chemical Biology or Biology, or a PhD in Chemical Biology, Biology, or related Life Sciences with a solid foundation in Computational Biology
  • 2-4 years of postdoctoral experience or relevant industry experience
  • Experience with data analysis for High Content Imaging or Proteomics datasets is required, along with a commitment to furthering your expertise in PhenOmics analyses
  • Proven track record in designing, integrating, and interpreting complex biological experiments, such as those involving Quantitative Microscopy (High Content Imaging and Cell Painting) and Chem-Omics (Chemo-/Proteomics, Transcriptomics)
  • Experience and expertise in Chemo-informatics or Chemo-genomics is a strong advantage, whereas hands-on wet lab experience with one or more of the experimental technologies (imaging assays or proteomics) is also a plus
  • Proven ability to generate novel biological insights on targets and modalities from quantitative biological datasets using your deep understanding of chemical biology, cell biology, disease biology, and gene regulatory networks
  • Proficiency in programming languages (such as Python or R) as well as understanding of statistical principles, methods and tools relevant to Computational Biology is required
  • Strong interpersonal and communication skills, thrive in cross-disciplinary teams, and are adept at collaborating with scientists from diverse backgrounds to reach joint goals
  • Excellent command of English, both spoken and written, is essential

Responsibilities

  • Focus on pivotal scientific questions in drug discovery projects as a purpose-driven drug hunter, whose contributions will provide insights and data critical to making go/no-go decisions, advancing our understanding of targets and modalities
  • Analyze Complex Datasets and develop, implement, and apply cutting-edge computational tools to analyze quantitative Chemo-PhenOmics data, including High Content Imaging, Cell Painting screens and assays (Quantitative Fluorescence Microscopy), and Chem-Omics (Chemo-/Proteomics, Transcriptomics), that will enable uncovering and characterization of links between targets and modalities
  • Collaborate closely with drug discovery project teams and contribute to target identification and validation, modality discovery, and the characterization of modality modes-of-action as well as translating multi-parametric data into testable hypotheses
  • Integrate Imaging and Multi-Omics Datasets and facilitate the integration and contextualization of imaging and multi-omics datasets, aiming to gain novel insights and establish biological connections to modalities
  • Collaborate across disciplines as part of an international and interdisciplinary research team and work iteratively with wet lab scientists and data scientists to develop strategies and methods for identifying relevant chemical and biological features within PhenOmics datasets
  • Scout and assess innovation in partnership with CROs, biotech, and academia to harness valuable external insights
  • Engagement with the scientific community, including publishing research, in order to strengthen the visibility of our research and demonstrate scientific excellence

FAQs

What is the job title for the position being offered?

The job title is Computational Chemical Biologist (all genders).

Where is the position located?

The position is located in Berlin or Wuppertal, Germany.

What qualifications are required for this position?

A PhD in Computational Biology, Systems Biology, Chemical Biology, Biology, or related Life Sciences with a solid foundation in Computational Biology is required, along with 2-4 years of postdoctoral or relevant industry experience.

Is prior experience with data analysis important for this role?

Yes, experience with data analysis for High Content Imaging or Proteomics datasets is required.

Are there specific programming languages that candidates should be proficient in?

Yes, proficiency in programming languages such as Python or R, as well as an understanding of statistical principles relevant to Computational Biology, is required.

What type of experiments will the candidate be involved in?

The candidate will be involved in designing and analyzing experiments that include High Content Imaging, Cell Painting screens, Chem-Omics, and the integration of multi-omics datasets.

Will the candidate collaborate with other teams?

Yes, the candidate will collaborate closely with drug discovery project teams and work with wet lab scientists and data scientists.

Does Bayer welcome applications from diverse backgrounds?

Yes, Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression, or any unlawful criterion under applicable law.

What are the benefits offered by Bayer for this position?

Bayer offers a competitive compensation package, hybrid work models, family support such as daycare centers, professional growth opportunities, health awareness measures, and an inclusive work environment.

How does Bayer support the professional growth of its employees?

Bayer supports professional growth through access to learning and development opportunities, training programs, development dialogues, and coaching and mentoring programs.

Science for a better life

Science & Healthcare
Industry
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Employees
1863
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Mission & Purpose

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Our products and services are designed to benefit people and improve their quality of life. At the same time, we aim to create value through innovation, growth and high earning power. Our products help address some of today’s biggest challenges, including global population growth, an aging society and the need to make efficient – and, wherever possible, sustainable – use of natural resources. In line with our mission “Bayer: Science For A Better Life,” we aim to improve people’s quality of life by preventing, alleviating or curing diseases. We also help provide an adequate supply of high-quality food, feed and renewable plant-based raw materials. For these endeavors, we focus on developing and successfully commercializing innovative products and solutions based on scientific knowledge.