# Genome Editing Scientist--Bioinformatics

**Company**: Bayer
**Location**: Chesterfield, Missouri
**Experience**: senior
**Job type**: full-time
**Salary**: $97,120.00 - $145,680.00
**Category**: IT
**Industry**: Healthcare
**Wikidata**: https://www.wikidata.org/wiki/Q152051

**Apply**: https://talent.bayer.com/careers/job/562949978481111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4ea1a209-377

## Description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility.

You will enable data-driven decisions on target selection, experimental design, and editing outcome interpretation by developing reproducible analyses, predictive models, and clear visualisations.

**Your Tasks and Responsibilities**

The primary responsibilities of this role are to:

- Build and maintain reproducible pipelines and integrated datasets to evaluate and optimise editing tool performance across germplasm and testing systems;

- Develop and apply statistical and machine learning models and metrics to quantify drivers of editing efficiency and precision and to compare tool variants across genomic contexts;

- Develop computational approaches to improve the design of precise editing components, including guide and target selection and constraint-aware design;

- Analyse large-scale sequencing datasets to characterise editing outcomes, fidelity, and error modes, and generate clear visualisations and decision-ready summaries;

- Partner with molecular and structural biology teams to design experiments, define analysis plans, and translate multi-modal data into actionable recommendations for tool development;

- Collaborate closely with genomics, functional genomics, and digital/data science stakeholders to ensure that tools, pipelines, and analyses are scalable, robust, and aligned with broader platform needs.

**Who You Are**

Bayer seeks an incumbent who possesses the following:

**Required Qualifications:**

- PhD in bioinformatics, computational biology, genomics, or a related field, or a Master's degree with 3+ years of additional relevant experience;

- Strong programming skills in languages relevant to biological data analysis (e.g., Python, R) and ability to write maintainable, well-documented code;

- Experience analysing genome editing NGS datasets and interpreting results in the context of CRISPR-Cas and related editing technologies;

- Knowledge of statistical methods for analysing editing precision and efficiency, and ability to clearly communicate underlying assumptions and limitations;

- Experience with plant functional genomics analyses and ability to integrate multi-omics signals for hypothesis generation;

- Strong communication and collaboration skills, including the ability to translate computational results for diverse audiences and to work effectively across multidisciplinary teams.

**Preferred Qualifications:**

- Experience applying GenAI and large language models to scientific workflows;

- Background in protein structure prediction and analysis, protein engineering, and protein–nucleic acid interactions;

- Experience with RNA structure analysis and/or molecular simulation methods;

- Experience with chromatin accessibility and structure analysis and advanced machine learning approaches for editing-tool optimisation;

- Knowledge of DNA repair pathways and their influence on editing outcomes;

- Experience with HPC-scale computing and optimisation methods for experimental design.

Employees can expect to be paid a salary between $97,120.00 - $145,680.00. Additional compensation may include a bonus or incentive compensation. Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

## Skills

### Required
- bioinformatics
- computational biology
- genomics
- Python
- R
- CRISPR-Cas
- statistical methods
- plant functional genomics
- communication skills

### Nice to have
- GenAI
- large language models
- protein structure prediction
- protein engineering
- RNA structure analysis
- molecular simulation methods
- chromatin accessibility
- machine learning
- HPC-scale computing

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949978481111?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)