Associate Research Scientist | Immunology Paust Lab Farmington, CT Research in Dr. Paust's laboratory seeks to elucidate the molecular mechanisms underlying NK cell mediated adaptive immune responses in murine and human NK cells, and the development of novel anti-vial vaccines that target NK cell-mediated effector functions. Specifically, we seek to (i) understand NK cell responses and their contributions to host protection from acute and chronic viral infections, and in response to malignancy, (ii) develop and test novel vaccines and therapeutic approaches that elicit potent NK cell-mediated effector functions and immune memory, (iii) develop and evaluate NK cell-based immunotherapies to treat chronic viral infection or solid tumors, and (iv) to identify the molecular mechanism(s) of immunological memory in murine and human NK cells. To facilitate this research, the laboratory uses molecular and biochemical approaches to study NK cell biology in murine and humanized mouse models of disease, such as human immune system mice or patient derived xenograft tumor bearing mice, and in clinical samples. The successful candidate must be able to work independently, as well as in a team environment, pay close attention to detail and adhere to deadlines regularly. Excellent communication and interpersonal skills are essential. They will be detail-oriented, self-motivated, a fast learner, and possess excellent time management, organizational, written, and verbal communication skills. The ability to take direction and use independent judgment to meet experimental goals and deadlines is required. The successful candidate will be responsible for designing, undertaking, and analyzing information from controlled laboratory-based investigations. They must be able to independently develop experimental protocols and approaches to troubleshooting experimental protocols, and perform advanced planning of experiment setups, data collection, and results for analysis. Additionally, the successful candidate will oversee research activities in the Paust laboratory and assist with the mentoring of students, post-docs, and technicians. A strong commitment to experimental goals, career goals, and deadlines, and mentoring experience is required. Willingness to work into the evening and occasional weekend work is also required. A minimum of five years of post-doctoral experience, a strong publication record, scientific writing and mentoring experience is required for this position. Required Qualifications: <ul><li>PhD in immunology, cancer biology, molecular biology, genetics, or a related life science field, or a DVM or a related degree, plus 5+ years of postdoctoral experience</li><li>A strong post-doctoral publication record is required</li><li>Experience with mouse tumor models</li><li>Advanced experience with cell based in vitro and in vivo assays</li><li>Standard molecular biology, biochemistry, immunology, and cell biology techniques: Sterile tissue culture, CRISPR, lentiviral expression systems, cloning, protein expression, western blotting, PCR, qPCR, IHC, microscopy</li><li>Experience with multiparameter/digital flow cytometry, cell sorting, and flow cytometry data analysis</li><li>Experience with omics sample preparation (scRNAseq, scATACseq)</li><li>Computer skills (word, excel, power point)</li><li>English proficiency and experience with scientific writing (manuscripts, grants)</li><li>Mentoring experience strongly preferred</li><li>Successful grant writing experience strongly preferred</li></ul> Positions require successful completion of required training courses, i.e. animal use, BL-2 safety, and general lab and chemical safety training. Education Required: Doctorate Degree Education Preferred: Doctorate Degree Experience Required: 5 years Experience Preferred: 5 years Pay Range: $59,429 - $77,258 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.

The Carter Lab focuses on computational and big data approaches to understanding Alzheimer's disease. We are seeking a Data Scientist to join our team researching the genetics and genomics of dementias. We work with a range of biological models including cells, mice, and non-human primates, which creates a multi-species platform for translatable disease research. This work is funded through multiple federally funded consortia within the NIA's Alzheimer's Disease Translational Research Program, in which we lead computational efforts in the MODEL-AD, TREAT-AD, and MARMO-AD centers. Together, these form a collaborative network in which data can be analyzed, re-analyzed, and re-used to answer evolving questions regarding aging and Alzheimer's etiology. We strive to maximize the distribution of data, analyses, and resources in an open science ecosystem. This role is focused on the design, creation, and maintenance of interactive online resources to disseminate study data, analyses, and summary results. We aim to provide comprehensive analyses and results arising from multi-omic studies in digestible formats to complement traditional research publications. Examples of such resources include: <ul><li>https://storage.googleapis.com/bl6_2dg_rnaseq/index.html</li><li>https://youngpearselab.shinyapps.io/sorl1_namei_cells/</li></ul> We are dedicated to open science and establishing an inclusive culture to expand our vision of scientific progress. Data scientists with experience and enthusiasm to operate in the rapidly evolving open data ecosystem are especially encouraged to apply. Key Responsibilities: <ul><li>Designing and creating online data resources to disseminate bespoke research data, workflows, and results to the scientific community.</li><li>Working with research team members to implement and document novel analytical workflows.</li><li>Interfacing with academic and non-profit research partners for integrated and harmonized data sharing.</li><li>Liaising with experts in Information Technology to maintain cloud-based resources.</li><li>Interacting with users to optimize the understanding and uptake of research results.</li><li>Maintaining updated knowledge of technologies and practices that facilitate open data dissemination.</li></ul> Qualifications: <ul><li>B.S. in Computer Science or computational science-related field (i.e. bioinformatics, physics or mathematics). Works under close supervision.</li><li>Prior experience in data curation, data visualization, and R scripting.</li><li>Expertise in creating custom dashboards and notebooks using RStudio/Posit or similar tools is strongly preferred.</li><li>Experience in genetics, genomics, and/or Alzheimer's disease research is preferred but not required.</li></ul> The salary range is $63,744 - $106,723. Salary will be determined based on qualifications and experience. 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.

The Chesler lab is seeking a Data Scientist to develop algorithms and computational resources to analyze and interpret mouse genomic and phenotypic data. The Data Scientist will work with scientists to understand biomedical questions, develop algorithmic approaches to address them, implement those approaches with well-documented code, report and interpret results, and work with software engineers to harden pipelines into software products. The Data Scientist will deliver these reproducible analytical products, including visualizations, pipelines, and data resources that help researchers answer biomedical questions. They will also work cross-functionally and collaborate with a team of scientists, curators, bioinformaticians, data scientists, and software engineers to maintain and enhance knowledge extraction for cross-species analyses. This position is eligible for hybrid or remote work from our Bar Harbor or Portland, Maine campuses. Hybrid employees will work onsite at least 1 day per week. Key Responsibilities & Essential Functions <ul><li>Design, develop, implement, and test novel algorithms and software for genomic and cross-species analyses</li><li>Conduct robust statistical analysis of biomedical data and generation of visualizations, reports and summaries</li><li>Effectively communicate and collaborate in cross-functional teams that include members with diverse expertise e.g., biologist, neuroscientist, curator, software engineer</li><li>Work independently and efficiently to lead the development of analytical products and data resources</li><li>Lead internal and external presentations to both computational and non-computational scientists. Prepare codebase and write manuscripts for publication;</li><li>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</li><li>Participate in software tool maintenance, development and deployment.</li><li>Proactive identification of opportunities to improve practices, streamline analysis, and maximize data value.</li></ul> Qualifications <ul><li>B.S. in Computer Science, Bioinformatics, Statistics, Data Science or related field is required. MS/PhD is preferred</li><li>At least 2 years of relevant experience</li><li>Solid understanding of experimental design, core statistical methods, and machine learning tools</li><li>Experience with algorithm development in areas such as machine learning, genomics, and statistics. Experience hardening analytical products into software is a plus.</li><li>Prior experience analyzing mouse genomic and phenotypic data is essential. QTL analysis a plus</li><li>Proficient in R and/or Python</li><li>Experience in working with high-performance clusters and/or cloud computing environments. Experience creating Nextflow pipelines and singularity containers a plus</li><li>Experience in version control tools</li><li>Ability to interpret scientific literature and apply relevant concepts in fields related to current projects</li><li>Ability to lead projects/tasks, self-manage timelines, and work independently with limited supervision is essential</li><li>Demonstrated ability to effectively communicate with non-computational stakeholders is essential</li></ul> The salary range is $73,305 - $122,730. Salary will be determined based on qualifications and experience. #LI-MJ1 #LI-Hybrid #CA-MJ4 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.

Associate Research Scientist - RNA Biology , Aging & CancerDr. Olga Anczukw, PhD, Associate Professor and Cancer Center Research Program Co-LeaderThe Jackson Laboratory for Genomic Medicine, CTWe are looking for talented Associate Research Scientist to investigate how misregulation of alternative RNA splicing contributes to human disease, with a specific focus on cancer . The position is fully funded through two NIH grants, and awaiting the proper, enthusiastic applicant.Our research goals are to: i) define the molecular pathways that regulate splicing factors in normal and cancer cells, as well as during cell differentiation; ii) uncover causal splicing alterations in breast tumors; and iii) identify splicing factors and spliced isoforms which could be used as biomarkers to predict disease progression or drug-response, or as targets for RNA-based therapeutics. Our research uses 3D cell culture models, mouse models including patient-derived xenograft, as well as large clinical datasets, and leverages cutting-edge approaches such as RNA-targeting CRISPR, short- and long-read RNA-sequencing, and single-cell approaches, to decipher the role of spliced isoforms and their regulators.Our research group, consisting of two postdoctoral associates, two graduate students, and two research associates, is diverse and collaborative. We seek to produce top notch science and foster the development of outstanding, independent scientists through nurturing mentorship and interdisciplinary, collaborative efforts. We have close collaboration with members of the JAX NCI-designated Cancer Center and the Nathan Shock Excellence of Research on Aging Center.For more, visit the Anczukw Lab online.Qualifications:PhD degree and 3-5 years of postdoctoral experience.Track record of productivity.Experience in RNA biology, aging and cancer research.Outstanding writing and communication skills, with an ability to work both independently and within collaborative teams productively.Experience with cellular and molecular biology techniques (including molecular cloning, RNA extraction, PCR, qPCR, western blotting, and microscopy).Experience with computational analysis and data interpretation, including splicing analysis using short- and long-read RNA-sequencing data.Pay Range: $55429 - $92802About 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.#J-18808-Ljbffrby Jobble

The Jackson Laboratory Jobs

Associate Research Scientist Paust Lab Immunology
May 10, 2024

Data Scientist Carter Lab
May 2, 2024

Data Scientist Chesler Lab
April 23, 2024

Associate Research Scientist Anczukow Lab
April 21, 2024

Data Scientist Chesler Lab
April 21, 2024

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The Jackson Laboratory Jobs

Associate Research Scientist Paust Lab ImmunologyMay 10, 2024

Data Scientist Carter LabMay 2, 2024

Data Scientist Chesler LabApril 23, 2024

Associate Research Scientist Anczukow LabApril 21, 2024

Data Scientist Chesler LabApril 21, 2024