at The Jackson Laboratory in Bar Harbor, Maine, United States
Full and partial remote work options are available with hiring manager approval. Periodic travel to Bar Harbor expected in the future.
The at Jackson Laboratory (JAX) is seeking a computational biologist who is active at the intersection of single-cell biology and machine learning to join our group. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and deep learning approaches to analyze single-cell sequencing and spatial expression data generated at JAX's Single-Cell Biology Laboratory (SCBL), including single-cell RNA-seq (scRNA-seq), single-nucleus ATAC-seq (snATAC-seq), and multiomic single-nucleus RNA-/ATAC-seq data. The primary responsibilities of the Computational Scientist include deriving biological insight from single-cell sequencing data across neurodegenerative dementias and developing novel methods for computational analysis of emerging technologies, such as multiomic sequencing and spatial transcriptomics.
The Computational Scientist will stay current in the latest single-cell sequencing analysis methods and their biological application by attending and presenting at conferences. They will expand their professional network through collaborations with our external investigators and consortia (AMP-AD and Resilience-AD). Finally, they will have significant growth opportunities to develop novel and evaluate existing methods in the rapidly evolving field of single-cell and multiomic sequencing and to deploy them in advancing biological discoveries.
A Successful Computational Scientist will have:
Experience analyzing scRNA-seq and/or snATAC-seq data (e.g., using Seurat or Scanpy), including integrating datasets and data modalities.
Expertise applying and developing statistical and machine learning approaches to address questions in biology, such as: regression, Bayesian modeling, random forests, ensemble methods, clustering, survival analysis, and dimensionality reduction.
Analyze scRNA-seq, snATAC-seq, multi-omic RNA-/ATAC-seq, and/or spatial transcriptomics data from quality control through generation of results under minimal supervision.
Develop and publish manuscripts related to using multi-scale data for predicting disease and biological phenotypes from single-cell sequencing data, making them accessible to the community as well-documented packages/libraries shared in online repositories (e.g., AD-Knowledge Portal).
Attend and present at scientific meetings to maintain and advance technological and scientific expertise.
Provide leading contributions to internal and external grant applications.
Participate in departmental and project activities, participate in conducting courses and workshops at JAX, help lab members, present results to JAX community, and at conferences and workshops.
PhD in Computational Biology, Bioinformatics, Computer Science, Biostatistics, Physics, or relevant area (assistant and associate).
Assistant Level: 0-2 years of experience excluding time spent to obtain PhD
Associate Level: 2-4 years of experience excluding time spent to obtain PhD
Excellent verbal and written communication skills.
Demonstrated ability to develop and execute a scientific narrative, as indicated by lead author, peer-reviewed publications in impactful journals.
Proficiency in Python and/or R in a Linux environment.
Strong initiative, and motivation to learn new technologies and biological domains.
An ability to explore and research new challenges creatively and with limited supervision.
The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, 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.
JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients' lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 "Best Places to Work in Academia" in the United States in a poll conducted by The Scientist magazine!
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color,... For full info follow application link.
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