• Design, develop, implement, and test novel algorithms and software for genomic and cross-species analyses
• Conduct robust statistical analysis of biomedical data and generation of visualizations, reports and summaries
• Effectively communicate and collaborate in cross-functional teams that include members with diverse expertise e.g., biologist, neuroscientist, curator, software engineer
• Work independently and efficiently to lead the development of analytical products and data resources
• Lead internal and external presentations to both computational and non-computational scientists. Prepare codebase and write manuscripts for publication;
• Quality control of both low- and high-dimensional datasets, design and implement quality control and quality assurance procedures to confirm the accuracy, fidelity and completeness; troubleshoot data exports and data uploads; track data exports and follow through; implement bulk data corrections
• Participate in software tool maintenance, development and deployment.
• Proactive identification of opportunities to improve practices, streamline analysis, and maximize data value.

• B.S. in Computer Science, Bioinformatics, Statistics, Data Science or related fieldis required. MS/PhD is preferred
• At least 2 years of relevant experience
• Solid understanding of experimental design, core statistical methods, and machine learning tools
• Experience with algorithm development in areas such as machine learning, genomics, and statistics. Experience hardening analytical products into software is a plus.
• Prior experience analyzing mouse genomic and phenotypic data is essential. QTL analysis a plus
• Proficient in R and/or Python
• Experience in working with high-performance clusters and/or cloud computing environments. Experience creating Nextflow pipelines and singularity containers a plus
• Experience in version control tools
• Ability to interpret scientific literature and apply relevant concepts in fields related to current projects
• Ability to lead projects/tasks, self-manage timelines, and work independently with limited supervision is essential
• Demonstrated ability to effectively communicate with non-computational stakeholders is essential

The salary range is $73,305 - $122,730. Salary will be determined based on qualifications and experience.

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About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.