Research Data Analyst Ii | Agoro Lab

The Jackson Laboratory (JAX) is seeking a Research Data Analyst II to join the Agoro Lab. The role requires a highly motivated, innovative, driven, and independent individual who will perform analysis of complex systems data including genomics, transcriptomics, proteomics, and other modalities of data. The qualified candidate will plan, execute, visualize, report, and interpret analytic results, and work with the PI to understand biological mechanisms that are associated with aging, anemia, and chronic kidney disease. The Research Data Analyst may also develop algorithmic approaches to address them and implement them in scripts or programs in close collaboration with the principal investigator.
The analyst will have the flexibility to work a hybrid remote schedule under the direct supervision of the principal investigator who will determine assignments, prioritize projects, assess progress, and provide mentorship and expert guidance. The position requires someone who can independently plan and execute work, is self-motivated and organized, and knows when to seek guidance from other bioinformatician experts at JAX.
In addition to working in coordination with Computational Scientists at JAX, the successful candidate will attend the JAX Bioinformatics Training Program at least once per year. The program aims to build data science talent at JAX by providing training in scientific computing, data analysis, and building instructional capacity with expert instructors.
Responsibilities:

• Work with limited supervision for tasks performed
• Process, visualize, and analyze complex systems biology and genetics data
• Implement analytical pipelines and summarize results
• Performs statistical analysis, creates visualizations, and interprets analytical results
• Assist in writing manuscripts and reports and present at scientific conferences

Qualifications:

• MS or PhD degree in the computational or biological sciences. Incumbents who have not achieved a Ph.D. may compensate with a Master's degree and at least five years of professional work experience in bioinformatics.
• Experience in analyzing RNAseq and single-cell RNAseq datasets is required
• Prior experience in data science research is a plus.
• Exceptional computer skills, and ability to develop technical documents, databases and presentations
• Ability to interact with all individuals in a productive, professional and positive manner to enhance the outcome of the goals of the research program
• Demonstrated success in conducting multiple, concurrent assignments or a multi-faceted project
• Demonstrated team player with a professional, positive attitude and willingness to be flexible
• Demonstrated skill in effective and professional oral and written communication
• Ability to set priorities, balance different projects and meet deadlines
• Ability to work on-site or in a hybrid fashion

The budgeted salary range for this role is $63,744 - $100,000. 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 and China. 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 www.jax.org.
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.