Senior Genome Editing Digital Pipeline Scientist

Bayer•Chesterfield, MO

About The Position

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. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Senior Genome Editing Digital Pipeline Scientist As a Data Strategy & Pipeline Leader in Gene Editing, you drive the data vision that powers next‑generation gene‑edited products; you 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 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.

Requirements

PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or a related scientific field with a minimum of 6 years of relevant experience, or MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genomic and computational biology datasets;
Experienced in the analysis of large biological datasets and in developing analytical pipelines using Python, R, or similar software and programming languages;
Demonstrated ability to design and implement data systems and analytical pipelines that can support a broad range of scientific and business use cases;
Demonstrated experience working collaboratively in cross‑functional and cross‑cultural teams to achieve common goals;
Demonstrated experience leading and influencing activities of cross‑functional teams without direct reporting relationships;
Ability to lead and influence key stakeholders through challenges and opportunities and to facilitate solutions that balance scientific rigor and business impact;
Strong collaboration skills, demonstrated through building cross‑functional partnerships and influencing others to drive results and solve complex business problems.

Nice To Haves

Strong understanding of the genomic control of physiological and biochemical pathways in plants or animals and 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.

Responsibilities

Provide 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;
Lead cross‑functional projects with partners across Crop Science (e.g., IT Enterprise, Data Engineering, Gene Editing) to automate decision making and connect data assets that accelerate development of gene-edited products;
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;
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;
Serve as a key communicator and integrator between scientific, technical, and business stakeholders to align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value;
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;
Champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.