Research Data Analyst I | Howell Lab

The Howell Lab is seeking a Research Data Analyst to join our research in the genetics and genomics of neurodegenerative diseases including Alzheimer's disease and glaucoma. This position will be part of our ongoing studies which seek to leverage complex multi-omics experiments to probe drivers of neurodegeneration and identify potential treatments.

This position will include curating current and historic datasets for data storage and sharing. Further, this position will analyze a wide variety of datasets (e.g., single cell RNA-seq/proteomics, spatial transcriptomics, and imaging data) for current and new projects. These analyses encompass a range of computational approaches including big data analysis through dimensional reduction and inference of disease relevance by comparison to matched human data. This position will network with members of the Computational Sciences and IT departments to disseminate data, analyses, and assist with visualization to facilitate broader community access. We are dedicated to open science and establishing an inclusive culture to expand our vision of scientific progress and encourage data usage.

What You'll Contribute

• Collating and annotating diverse datasets - both historic and newly generated
• Mining genome-scale data and interpreting results.
• Performing statistical analysis, algorithm implementation, data visualization, and bioinformatics programming; packaging and interpreting results.
• Developing pipelines for data analysis of new data types.
• Coordinating data analysis across multiple projects.
• Mentoring junior-level colleagues.
• Assisting in research planning.
• Assisting in data dissemination.
• Contributing to publications and presenting at seminars and conferences.

What You're Good At

• Master's in the Computational or Biological Sciences. Incumbents who have not achieved a Master's degree may compensate for lack of a degree with a Bachelor's degree and at least 1-2 years of professional bioinformatics work experience.
• Experience with R is required, other languages such as Python are recommended
• Experience with algorithm development in areas such as machine learning, genomics, statistics
• Experience with genomic data is strongly recommended
• Knowledge of genetics, neuroscience, and neurodegeneration are desired but not required
• Ability to read scientific literature in fields related to current projects.
• Ability to contribute to scientific presentations and manuscripts.
• Ability to work in a team science environment involving researchers across multiple organizations.
• Ability to lead projects/processes, working independently with limited supervision

The salary range is $60,618.00 - $87,896.00. Salary will be determined based on qualifications and relevant experience.

#CA-MJ4

#LI-MJ1

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 visitwww.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.