Postdoctoral Fellow-MSH-30001-324

Mount Sinai Health System; New York (NY); On-site; USD 72,000 - 80,000; Full time

Job summary

Join a prestigious health system in a postdoctoral fellow role focusing on genetic epidemiology and data analysis. You will work jointly with researchers to apply advanced methods to large datasets, ensuring high-quality research output. Candidates must have a PhD and excellent programming skills, particularly in R and Python.

Qualifications

• PhD in bioinformatics, computer science, or a related field is required.
• Outstanding programming skills in R, Python, and Unix shell scripting are a must.
• Demonstrated knowledge of statistics and ability to manage multiple projects concurrently.

Responsibilities

• Analyze high-throughput sequence data and maintain large datasets.
• Communicate progress with PI and contribute to the research team.
• Develop collaborations and publish findings in academic journals.

Skills

Programming skills in R

Python

Unix shell scripting

Statistics

Statistical genetics

Analytical skills

Education

PhD in bioinformatics or related field

MD (if applicable)

Job description

Join to apply for the Postdoctoral Fellow-MSH-30001-324 role at Mount Sinai Health System

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Join to apply for the Postdoctoral Fellow-MSH-30001-324 role at Mount Sinai Health System

• 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.
  
  

Description

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.
  
  

Responsibilities

Requirements:

• PhD in bioinformatics, computer science, computational biology, genomics, or a related field.
• Outstanding programming skills in R, Python, and Unix shell scripting.
• 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.
  
  

Qualifications

PhD or MD

Employer Description

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 $72500 - $80000 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research

• Industries

  Hospitals and Health Care

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