STgenetics
Functional Genomics and Systems Biology Scientist
STgenetics, Navasota, Texas, United States, 77869
POSITION SUMMARY
STgenetics is seeking an innovative and multidisciplinary scientist to join our R&D team as a Functional Genomics and Systems Biology Scientist. This role is ideal for a highly motivated individual who brings strong expertise in livestock genomics, bioinformatics, and systems-level thinking. The successful candidate will lead the integration of genomic and multi-omics data to identify causal variants and biological pathways underlying complex traits. This position supports precision breeding, resilience, and sustainability goals across dairy and beef systems.
STgenetics® is the worldwide leader in Sexed Semen and Embryo production. ST is well known around the globe as one of the top sources for assistance in locating and exporting quality semen, embryos, and livestock from the United States. ST through the experience of its staff specializes in helping find quality livestock, semen, and embryos for placement domestically and internationally.
RESPONSIBILITIES / DUTIES
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.
EDUCATION / QUALIFICATIONS
Ph.D. in Genetics, Genomics, Bioinformatics, or a related field.
Demonstrated expertise in association analyses, fine‑typing, 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, GCTA, GATK, freebayes) and familiarity with standard data formats (e.g., FASTQ, BAM, VCF).
Proven experience in identifying causal variants. A demonstrated track record of at least one discovery is highly desirable.
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).
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.
Affirmative Action and Equal Opportunity Statement STgenetics® is an affirmative action EEO employer. We are an equal opportunity employer and all qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.
STgenetics® is not currently accepting unsolicited resumes from search firms. Regardless of past practice, all resumes submitted by search firms to any employee at STgenetics® via email, the Internet or directly to hiring managers at STgenetics® in any form without a valid written agreement in place for that specific position will be deemed the sole property of STgenetics®. As a result, no fee will be paid in the event the candidate is hired by STgenetics®.
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STgenetics® is the worldwide leader in Sexed Semen and Embryo production. ST is well known around the globe as one of the top sources for assistance in locating and exporting quality semen, embryos, and livestock from the United States. ST through the experience of its staff specializes in helping find quality livestock, semen, and embryos for placement domestically and internationally.
RESPONSIBILITIES / DUTIES
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.
EDUCATION / QUALIFICATIONS
Ph.D. in Genetics, Genomics, Bioinformatics, or a related field.
Demonstrated expertise in association analyses, fine‑typing, 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, GCTA, GATK, freebayes) and familiarity with standard data formats (e.g., FASTQ, BAM, VCF).
Proven experience in identifying causal variants. A demonstrated track record of at least one discovery is highly desirable.
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).
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.
Affirmative Action and Equal Opportunity Statement STgenetics® is an affirmative action EEO employer. We are an equal opportunity employer and all qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.
STgenetics® is not currently accepting unsolicited resumes from search firms. Regardless of past practice, all resumes submitted by search firms to any employee at STgenetics® via email, the Internet or directly to hiring managers at STgenetics® in any form without a valid written agreement in place for that specific position will be deemed the sole property of STgenetics®. As a result, no fee will be paid in the event the candidate is hired by STgenetics®.
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