Biostatistics Scientist Plant Breeding Analytics

Sakata Seed America, INC.; Woodland Park (CO); On-site; USD 90,000 - 105,000; Full time

Benefits offered by this job

Insurance

401(k) Matching

Paid Vacation

Tuition Reimbursement

Wellness Stipend

Job summary

Sakata Seed America, INC. in Woodland, CA, is seeking an entry-level Biostatistics Scientist to contribute to genomic, phenotypic, and field-trial data analyses under guidance from senior scientists.

You will help develop reproducible analytical workflows, support trait evaluation, and assist with marker-assisted selection and breeding decisions in a collaborative research environment.

Qualifications

• PhD or MS in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or related field.
• 0–2 years of relevant academic, internship, or industry experience for MS option.
• Foundational training in statistics, biostatistics, quantitative genetics, plant breeding, computational biology, or related analytical disciplines.

Responsibilities

• Support development and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.
• Apply mixed models, heritability estimation, genetic correlations, and basic genomic prediction approaches.
• Prepare summaries, tables, figures, and presentations for internal stakeholders.
• Document methods, code, and results to support reproducibility.

Skills

Biostatistics

Quantitative genetics

Data analysis

R programming

Python

SAS

Education

PhD in Biostatistics or related field

MS in Biostatistics or related field with 0–2 years experience

Tools

R

Python

SAS

Job description

Sakata Seed America, INC. in Woodland, CA, is seeking an entry-level Biostatistics Scientist to contribute to genomic, phenotypic, and field-trial data analyses under guidance from senior scientists.

You will help develop reproducible analytical workflows, support trait evaluation, and assist with marker-assisted selection and breeding decisions in a collaborative research environment.