Bioinformatician II - Allergy & Asthma Research - Genetics/Genomic Sciences
$65.89k - $100kMount Sinai Health System
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.
- 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.
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
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.
Compensation
The Mount Sinai Health System (MSHS) 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.
$65.89k - $100k
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