Further managing of our HTML reports will be done on Amazon cloud. * Provide training to TCC investigators and trainees. Qualifications * M.S. in Bioinformatics, Biomedical Informatics, Computational ...
Further managing of our HTML reports will be done on Amazon cloud. * Provide training to TCC investigators and trainees. Qualifications * M.S. in Bioinformatics, Biomedical Informatics, Computational ...
Further managing of our HTML reports will be done on Amazon cloud. * Provide training to TCC investigators and trainees. Qualifications * M.S. in Bioinformatics, Biomedical Informatics, Computational ...
Further managing of our HTML reports will be done on Amazon cloud. * Provide training to TCC investigators and trainees. Qualifications * M.S. in Bioinformatics, Biomedical Informatics, Computational ...
Software Development Engineer II (ADBL178)
Newark, NJ · On-site
$158K - $213K/yr
Apply online: www.amazon.jobs - search by job code: ADBL178. #0000 BASIC QUALIFICATIONS Requires a Bachelor's degree in Computer Science, Engineering, Mathematics, Biotechnology, Bioinformatics, or a ...
Software Development Engineer II (ADBL178)
Newark, NJ · On-site
$158K - $213K/yr
Apply online: www.amazon.jobs - search by job code: ADBL178. #0000 BASIC QUALIFICATIONS Requires a Bachelor's degree in Computer Science, Engineering, Mathematics, Biotechnology, Bioinformatics, or a ...
Software Development Engineer II (ADBL178)
Newark, NJ · On-site
$158 - $214/hr
... Bioinformatics, or a related field, plus two (2) years of experience as a Software Development ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
Software Development Engineer II (ADBL178)
Newark, NJ · On-site
$158 - $214/hr
... Bioinformatics, or a related field, plus two (2) years of experience as a Software Development ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...
D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or Master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or Master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or Master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
D. or Master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...
Amazon Bioinformatics information
See New York salary details
$73.5K is the 25th percentile. Wages below this are outliers.
$65.1K - $74K
27% of jobs
$74K - $83K
15% of jobs
$83K - $91.9K
6% of jobs
The median wage is $93.2K / yr.
$91.9K - $100.9K
15% of jobs
$100.9K - $109.9K
9% of jobs
$109.9K - $118.8K
2% of jobs
$125.5K is the 75th percentile. Wages above this are outliers.
$118.8K - $127.8K
2% of jobs
$127.8K - $136.7K
2% of jobs
$136.7K - $145.7K
10% of jobs
$145.7K - $154.6K
11% of jobs
$154.6K - $163.6K
2% of jobs
$65.1K
$103.4K
$163.6K
How much do amazon bioinformatics jobs pay per year?
What is an Amazon bioinformatics?
An Amazon Bioinformatics job involves applying computational and statistical techniques to analyze biological data, often in support of Amazon's healthcare, life sciences, or agritech initiatives. Professionals in this role work with large datasets, develop algorithms, and use machine learning to derive insights from genomic, proteomic, or other biological information. They collaborate with scientists, engineers, and product teams to develop innovative solutions for personalized medicine, drug discovery, or agricultural optimization.
What does an Amazon bioinformatics do?
Bioinformatics professionals at Amazon may work on projects ranging from designing and optimizing genomic data pipelines to analyzing large-scale biological datasets that support various company initiatives, such as supply chain improvements or healthcare applications. Daily tasks often include collaborating with data engineers and scientists, writing code to automate data processing, interpreting results, and presenting findings to stakeholders. There is a strong focus on teamwork, as you’ll frequently interact across departments to translate scientific insights into actionable business solutions. As part of a dynamic and tech-driven environment, you’ll also have opportunities to continuously learn new technologies and methodologies, which can lead to exciting career advancement possibilities.
What are the key skills and qualifications needed for an Amazon bioinformatics?
To thrive in an Amazon Bioinformatics role, you typically need a strong background in molecular biology, computational biology, and data analysis, often supported by a graduate degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics software tools, and knowledge of cloud computing platforms like AWS are common requirements. Exceptional problem-solving abilities, effective communication, and the capacity to work collaboratively in diverse, cross-functional teams set top candidates apart. These skills and qualities are essential to efficiently analyze large-scale biological data, drive innovation, and support data-driven decisions in a fast-paced tech-enabled environment.
What jobs can I get with Amazon Bioinformatics?
What are popular job titles related to Amazon Bioinformatics jobs in New York?
For Amazon Bioinformatics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Amazon Bioinformatics jobs in New York look for?
The top searched job categories for Amazon Bioinformatics jobs in New York are:

Full-time
Re-posted 27 days ago
Mount Sinai rating
7.7
Based on 296 frontline employees who took The Breakroom Quiz
159th of 893 rated healthcare providers
Job description
We are seeking an experienced bioinformatician for the Tisch Cancer Center Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead transcriptomics and epigenetics data analysis projects in Cancer biology.
The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service.
More specifically, we are working on multiple projects together with PIs in the Tisch Cancer Center and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of RAS mutations in the development of Leukemia utilizing single cell RNA- and ATAC-seq; understand the role of histone variants in cancer development utilizing enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are utilizing bulk and single cell, and spatial transcriptomics to understand breast cancer metastasis to bone. Finally, we are utilizing FIBER-seq (third generation PacBio long read sequencing), to better understand how chromatin remodelers shape the chromatin landscape.
We are seeking a highly motivated senior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects and a team of bioinformaticians is a must. We feel that BiNGS presents a unique opportunity for senior bioinformaticians who seek to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently; their ability to lead a small team of junior of bioinformaticians, and their involvement in reducing racial bias in science through mentorship of URM in Science.
Responsibilities
- Execute computational analysis for bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome.
- Developing, tracking and reporting of ongoing projects including presentation of analysis progress in internal meetings and communications with PI to present results, interpret data and come up with new hypotheses.
- Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. For example, correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on.
- Provide analyses and visualization for presentations and publications.
- Participate in the implementation of new software tools (e.g., MOFA and SNF) to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements based on relevant questions, identify available tools, implement and test.
- Manage data and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. The candidate will execute all data analysis on HPC using bash and manage the storage and archiving of all NGS datasets on the MSSM HPC. Further managing of our HTML reports will be done on Amazon cloud.
- Provide training to TCC investigators and trainees.
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 MatLab, R statistical package, BioConductor, Perl and C++.
Preferred Skills
- MSc or PhD in bioinformatics, computer Sciences or related fields.
- Proven experience in analyzing bulk RNA- and ATAC-seq, scRNA-seq, scATAC-seq, and scMultiome.
- Proven experience with Python, R and Linux. Additional experience with standard genomics tools for high-throughput sequencing data analysis (e.g.
- Bowtie2, Cellranger, Samtools, STAR, MACS2, Seurat, Signac, Cicero, Chromvar, Scenicplus and the UCSC genome browser).
- Experience with markup languages such as HTML is preferred.
- Proven ability to work on the AWS cloud.
- Experience in bash HPC cluster environment with a parallel file system.
- Proven ability to research, analyze, recommend, communicate, and implement solutions.
- Good understanding of chromatin biology, and NGS technologies.
- Must be able to work as an individual while part of a small team.
About Us
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.
What Mount Sinai employees say
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About Mount Sinai
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Industry
Hospitality services and health care and social assistance
Company size
10,000+ Employees
Headquarters location
New York, NY, US