# Senior Genome Editing Digital Pipeline Scientist

**Company**: Bayer
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $114,400.00 - $171,600.00
**Category**: Engineering
**Industry**: Life Sciences

**Apply**: https://talent.bayer.com/careers/job/562949976715204
**Canonical**: https://yubhub.co/jobs/job_aa5f286d-ad4

## Description

At Bayer, we're seeking a Senior Genome Editing Digital Pipeline Scientist to drive the data vision that powers next-generation gene-edited products. As a Data Strategy & Pipeline Leader in Gene Editing, you will coordinate a holistic data strategy across the editing pipeline so that diverse genomic and biological datasets are connected, accessible, and ready for advanced analytics. You will work closely with multi-functional teams to ensure that data, models, and decision tools are seamlessly integrated into product development workflows, enabling faster, more informed decisions and impactful innovation in gene-edited germplasm.

Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

## Skills

### Required
- PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or a related scientific field
- Minimum of 6 years of relevant experience, or MS with 10+ years of experience
- Experience in the analysis of large biological datasets and in developing analytical pipelines using Python, R, or similar software and programming languages
- Ability to design and implement data systems and analytical pipelines that can support a broad range of scientific and business use cases
- Strong collaboration skills, demonstrated through building cross-functional partnerships and influencing others to drive results and solve complex business problems

### Nice to have
- Strong understanding of the genomic control of physiological and biochemical pathways in plants or animals
- Experience developing data systems and analytical pipelines that leverage genome-wide association (GWA) data, QTL analysis, candidate gene analysis, gene expression analysis, molecular marker development, and pedigree data