STgenetics · 1 day ago
Functional Genomics and Systems Biology Scientist
STgenetics is seeking an innovative and multidisciplinary scientist to join our R&D team as a Functional Genomics and Systems Biology Scientist. The successful candidate will lead the integration of genomic and multi-omics data to identify causal variants and biological pathways underlying complex traits, supporting precision breeding and sustainability goals across dairy and beef systems.
CRMHealth CareInformation Technology
Responsibilities
Lead genome-wide association studies (GWAS), QTL mapping, and fine-mapping to identify causal variants and regulatory regions
Integrate multi-omics datasets (e.g., genomics, transcriptomics, metagenomics, microbiome) to connect genotypes to phenotypes
Develop and refine bioinformatics workflows for data preprocessing, variant calling, annotation, and statistical analysis
Design and implement multi-trait, longitudinal, and systems-level models to dissect trait architecture
Use network analysis and functional annotation tools to interpret biological pathways and gene regulation
Leverage high-performance computing environments to manage and analyze large-scale genomic and phenotypic datasets
Contribute to the development of genomic selection tools and indices for traits related to fertility, efficiency, health, and emissions
Collaborate with internal and external partners to align discoveries with commercial breeding strategies
Prepare technical reports, publications, and presentations to communicate scientific outcomes effectively
Qualification
Required
Ph.D. in Genetics, Genomics, Bioinformatics, or a related field
Demonstrated expertise in association analyses, fine-mapping, QTL detection, and network-based analysis of complex traits in livestock
Strong expertise in interpreting short- and long-read alignment data, including proficiency with visualization tools such as IGV
Fluency in NGS software (e.g., bwa, samtools, bcftools, GATK, freebayes) and familiarity with standard data formats (e.g., FASTQ, BAM, VCF)
Proven experience in identifying causal variants
Strong foundation in integrating omics data (e.g., transcriptomics, metagenomics, proteomics) with genomic data
Proficient in R, Python, and Bash scripting, with experience managing bioinformatics pipelines in Unix/Linux environments
Familiarity with GWAS methods (e.g., mlma/loco, fastGWA, ridge regression/BLUP, ssGWAS, Bayesian methods, etc) and software (e.g., PLINK, GCTA, BOLT-LMM, etc)
Familiar in tools for genetic/genomic evaluation such as BLUPf90
Understanding of biological networks, gene regulation, and functional annotation to support causal inference
Proven record of peer-reviewed publications, data interpretation, and scientific communication
Fluency in English
Preferred
A demonstrated track record of at least one discovery is highly desirable
Company
STgenetics
STgenetics is a research company specializing in livestock reproduction and services.
H1B Sponsorship
STgenetics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2022 (1)
2021 (3)
Funding
Current Stage
Growth StageRecent News
Google Patent
2025-05-06
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