Bioinformatician II - Allergy & Asthma Research - Genetics/Genomic Sciences

Description The Bunyavanich Lab is seeking talented individuals who can fulfill the responsibilities and requirements below to apply for a bioinformatician position in our NIH-funded lab at the Icahn School of Medicine at Mount Sinai, New York, NY. The successful applicant will be part of an interdisciplinary team that applies multi-omics and systems biology to interpret multi-scale data generated from subjects with asthma and allergic diseases. Our researchers receive generous packages, including robust salaries and a wealth of opportunities to participate in academic activities on campus and more broadly at regional, national, and international meetings. We are located in the heart of Manhattan, and Mount Sinai is one of the oldest and largest teaching hospitals in the US. The Bioinformatician II partners with researchers/biologists from the Mount Sinai Department of Genetics and Genomic Sciences on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. S/he leads a variety of projects and gains exposure to many productive areas of research, and develops/supports multiple research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies. Responsibilities Analyze high-throughput sequence data. Develop and implement methods to analyze these data. Maintain large datasets linked to clinical data. Communicate progress with PI regularly and contribute to the success of the research team. Develop and maintain productive collaborations within Mount Sinai and with outside researchers in academia and industry. Publish and present novel research findings in academic journals and conferences. Some supervision of trainees and technical staff may also be required. Qualifications M.S. in Bioinformatics, Biomedical Informatics, Computational Biology, or Genomics. Alternately, M.S. in a discipline requiring strong computational and analytical skills supplemented with some biology exposure. Ph.D in a related field preferred. Those with a Bachelors degree and additional post-graduate experience are considered. 2+ years post-graduate experience in a research environment, including the manipulation of large biological datasets. Advanced knowledge of genetics and/or statistical analysis software and online resources. Experience in programming environments such as R, Python and Unix Shell Scripting. Preferred Ph.D. in bioinformatics, computer science, computational biology, genomics or a related field. Excellent track record of analyzing sequence data. Experience with clinical cohorts and microbiome analysis a plus. Demonstrated knowledge of statistics and statistical genetics. Familiarity with genomic data tools, repositories, and databases. Strong attention to detail and solid analytical skills. Ability to work hard and independently while contributing to the team effort and adhering to deadlines. Excellent oral and written communication skills with track record of productive collaborations. Demonstrated ability to work concurrently on several projects, and good understanding of analytic complexities to do independent research as well as assist other researchers. Compensation The Mount Sinai Health System provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65885 - $100000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. #J-18808-Ljbffr