Bioinformatician II- Genetics

Key Skills

Bioinformatics, Data science techniques, Effective communication skills, Large data sets, Planning and organization, Python Programming, R Programming, Shell Scripting language, Unix Operating system, US Healthcare Recruitment

Job Description

The Bunyavanich Lab (http://bunyavanich.org) welcomes talented, self-motivated individuals who can fulfill the responsibilities and requirements below to apply for a bioinformatician position in our lab at the Icahn School of Medicine at Mount Sinai, New York, NY. The successful applicant will be part of an interdisciplinary team led by Dr. Supinda Bunyavanich that applies data science, computational analysis, and bioinformatics 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 here at the Institute for Data Science and Genomic Technology and more broadly at regional and national workshops and conferences. We are located in the heart of Manhattan, and Mount Sinai is one of the oldest and largest teaching hospitals in the US.

Responsibilities

• Analyze next generation sequencing data, including whole genome, RNA-Seq, metagenome, epigenome, and metabolome data. 
• Develop and implement algorithms, statistical methods and software to analyze next generation sequencing data for disease risks, disease mechanisms, and biomarkers. Projects will include network construction and mining.
•  Integrate and translate multi-omic and clinical data into novel diagnostics, therapeutics and disease mechanisms
• Maintain complex next generation sequence and array datasets linked to clinical data. 
• Communicate research progress with PI on a regular basis 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

• Graduate degree in bioinformatics, computational biology, computer science, data science, or related field
• Outstanding programming skills in R, Python, and strong knowledge of Unix shell scripting.
• Excellent track record of analyzing next generation sequencing data required. Experience with transcriptome and microbiome analysis and clinical research a plus.
• Demonstrated knowledge of statistics, statistical genetics, bioinformatics concepts, methods and tools. 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 collaborative work.
• Demonstrated ability to work concurrently on several projects, and good understanding of research and analytic complexities to do independent research as well as assist other researchers.

Interested and qualified candidates may inquire about positions by submitting a CV and detailed letter of interest to Professor Supinda Bunyavanich (Supinda.Bunyavanich@mssm.edu).

Employer Description

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care.

Explore more about this opportunity and how you can help us write a new chapter in our history!