Bioinformatics Jobs

Job ID: 1090129_RR00056583 NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is... committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary The Naik lab (www.naiklab.com) at the NYU School of Medicine are seeking a highly motivated, enthusiastic individual to become part of a team of scientists investigating mechanisms of inflammatory diseases and cancers. The successful candidate will have the opportunity to interface with a wet-bench scientists and lead analyses on large datasets generated from state-of-the art next-generation sequencing technologies including single-cell approaches. The successful candidate will also interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at the NYU Langone Medical Center. This is a great opportunity to quickly acquire high-in-demand bioinformatics skills, develop and publish new analysis tools/pipelines, analyze challenging datasets, and be a co-author on multiple high-impact manuscripts. Job Responsibilities • Work closely with bench scientists to understand, analyze and help interpret their genomic data • Perform robust data quality control and validation • Manage data sets on genome browsers • Adapt genomic data analysis pipelines in a rapidly evolving research environment • Develop novel methods for multi-omics data analysis and integration • Mine databases for hypothesis generation or validating information • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) Minimum Qualifications • To qualify you must have a - M.Sc. in Bioinformatics, Systems Biology, Computer Science or related field • Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer/immunity and/or stem cells) • Ability to work independently while collaborating and assisting the team in its common research goals • Attention to detail and ability to work on multiple projects is necessary • Experience in Unix/Linux systems including HPC environments • Scripting languages: Python (preferred) or Perl • Statistical packages: R (preferred) or Matlab. • 1+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq) • 1+ years of experience creating customized sequencing analysis pipelines • Excellent communication skills with proficiency in written and oral English Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here

POSTDOCTORAL RESEARCHER IN BIOINFORMATICS POSITION SUMMARY The Furman Lab and the Buck AI Platform at the Buck Institute for Research on Aging seek an independent Postdoctoral Researcher interested in joining a highly diverse group of scientists focused on tackling aging. Proposed work will support research programs in inflammation mediated brain aging and cognitive impairment, ovarian decline... and infertility, immune dysregulation, exceptional longevity, space health, and cardiovascular aging. The goal of the Buck AI Platform is to catalyze data-enabled science and advance current knowledge on interventions and therapeutics to extend healthspan and lifespan. KEY RESPONSIBILITIES Process, integrate and analyze in-house and public domain data from various independent platforms (proteomics, genomics, phenomics, metabolomics, transcriptomics, microbiome, wearables/behavioromics). Develop statistical methods for data integration of multiscale biological data. Participate in writing research grants. Contribute to developing new models, techniques and methods applicable in the use of public sets of biological data and potentially health records as well. QUALIFICATIONS Education and Experience Deep interest for the science of aging and its connections with the immune system with particular focus on identifying interventions and therapeutics to extend human healthspan PhD in Bioinformatics, Physics, Engineering, Mathematics, Statistics, Genetics, Computer Sciences, Computational Biology or similar Significant experience with data science; specifically integration of multi-omics data Proven experience with application of machine learning and advanced statistical methods to biological datasets Proficient in SQL databases (e.g. MySQL) Competency in python and R; database development, maintaining & sharing code repositories (github, Jupyter, etc.) Research experience demonstrated through publications Specialized Skills Talent for technology, translational medicine and knowledge transfer Ability to work in a heterogeneous environment of Biologists, Bioinformaticians, Computer Scientists, Molecular Biologists Effective interpersonal and communicational skills Ability to work and think independently Effective organizational skills and ability to prioritize work to meet deadlines Aptitude for international collaborations ABOUT US Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, nonprofit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply. ADDITIONAL INFORMATION Posting will remain open until position is filled. This full time appointment is funded for 4 years with possible renewal based on availability of funds and operational needs. Competitive salary starting at $78,000/year. Benefits include health/dental/vision insurance, 401(k) with 5% match and profit sharing after one year. Collaborative work environment. Generous PTO. Work will be performed on a hybrid fashion remotely and at Buck Institute for Research on Aging in Novato, CA TO APPLY Click APPLY to submit your CV. Additionally, please send two reference letters to Mary Redwine (mredwine@buckinstitute.org