Albert Einstein College of Medicine
Bioinformatics Analyst
Albert Einstein College of Medicine - New York, New York, us, 10261
Work at Albert Einstein College of Medicine
Overview
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Overview
Join to apply for the
Bioinformatics Analyst
role at
Albert Einstein College of Medicine Join to apply for the
Bioinformatics Analyst
role at
Albert Einstein College of Medicine Get AI-powered advice on this job and more exclusive features. We are seeking a highly motivated
Bioinformatics Analyst
to join the research group of
Dr. Robert Burk
at Albert Einstein College of Medicine. This role is critical to supporting our ongoing
molecular epidemiology and microbiome research , with a strong emphasis on
human papillomavirus (HPV)-related neoplasia
and
the human microbiome (gut, oral, and cervicovaginal).
The successful candidate will contribute to projects that have been
published in high-impact journals such as
Nature Communications
and
CELL .
The ideal candidate will have
a strong background in bioinformatics, epidemiology, computational biology, or a related discipline
and possess
demonstrated experience processing next-generation sequencing (NGS) data . This position provides an opportunity to work at the intersection of
genomics, microbiome research, and epidemiology , with direct implications for cancer prevention and infectious disease research.
Key Responsibilities:
NGS Data Analysis: Process and analyze high-throughput sequencing data (e.g., amplicon sequencing, bisulfite sequencing, metagenomics, viral integration) and develop bioinformatics pipelines. Epidemiological Data Integration: Apply bioinformatics methodologies to study host-pathogen interactions, microbial communities, and genomic variations in large-scale epidemiological cohorts. Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiome-related investigations. Data Management & Security: Organize, manage, and curate sequencing datasets, ensuring compliance with clinical data protection and security best practices. Computational & Statistical Analysis: Utilize R, Python, or other computational tools to perform statistical analyses, epidemiological modeling, and data visualization. Cross-Disciplinary Collaboration: Work closely with molecular biologists, epidemiologists, and computational scientists to integrate findings into broader translational research efforts. Reporting & Presentation: Present findings in lab meetings, scientific conferences, and high-impact publications. Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects.
Qualifications
Education: Bachelor’s degree required; Master’s or Ph.D. in bioinformatics, computational biology, epidemiology, or related fields preferred. Technical Skills: Proficiency in R, Python, or similar languages for data analysis. Experience with NGS data processing, microbiome bioinformatics (16S, ITS1, shotgun metagenomics), and HPV genomics. Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus. Problem-Solving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problem-solving in bioinformatics and epidemiology. Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings.
Why Join Us?
Work on cutting-edge molecular epidemiology and microbiome research with direct public health impact. Collaborate with leading experts in bioinformatics, genomics, and epidemiology. Be part of projects published in top-tier journals such as Nature Communications and CELL. Career development opportunities, including conference participation, grant writing experience, and authorship on high-impact publications.
If you are a
bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research , we encourage you to apply!
Minimum Salary Range
USD $58,500.00/Yr.
Maximum Salary Range
USD $65,000.00/Yr. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
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Bioinformatics Analyst
role at
Albert Einstein College of Medicine Join to apply for the
Bioinformatics Analyst
role at
Albert Einstein College of Medicine Get AI-powered advice on this job and more exclusive features. We are seeking a highly motivated
Bioinformatics Analyst
to join the research group of
Dr. Robert Burk
at Albert Einstein College of Medicine. This role is critical to supporting our ongoing
molecular epidemiology and microbiome research , with a strong emphasis on
human papillomavirus (HPV)-related neoplasia
and
the human microbiome (gut, oral, and cervicovaginal).
The successful candidate will contribute to projects that have been
published in high-impact journals such as
Nature Communications
and
CELL .
The ideal candidate will have
a strong background in bioinformatics, epidemiology, computational biology, or a related discipline
and possess
demonstrated experience processing next-generation sequencing (NGS) data . This position provides an opportunity to work at the intersection of
genomics, microbiome research, and epidemiology , with direct implications for cancer prevention and infectious disease research.
Key Responsibilities:
NGS Data Analysis: Process and analyze high-throughput sequencing data (e.g., amplicon sequencing, bisulfite sequencing, metagenomics, viral integration) and develop bioinformatics pipelines. Epidemiological Data Integration: Apply bioinformatics methodologies to study host-pathogen interactions, microbial communities, and genomic variations in large-scale epidemiological cohorts. Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiome-related investigations. Data Management & Security: Organize, manage, and curate sequencing datasets, ensuring compliance with clinical data protection and security best practices. Computational & Statistical Analysis: Utilize R, Python, or other computational tools to perform statistical analyses, epidemiological modeling, and data visualization. Cross-Disciplinary Collaboration: Work closely with molecular biologists, epidemiologists, and computational scientists to integrate findings into broader translational research efforts. Reporting & Presentation: Present findings in lab meetings, scientific conferences, and high-impact publications. Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects.
Qualifications
Education: Bachelor’s degree required; Master’s or Ph.D. in bioinformatics, computational biology, epidemiology, or related fields preferred. Technical Skills: Proficiency in R, Python, or similar languages for data analysis. Experience with NGS data processing, microbiome bioinformatics (16S, ITS1, shotgun metagenomics), and HPV genomics. Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus. Problem-Solving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problem-solving in bioinformatics and epidemiology. Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings.
Why Join Us?
Work on cutting-edge molecular epidemiology and microbiome research with direct public health impact. Collaborate with leading experts in bioinformatics, genomics, and epidemiology. Be part of projects published in top-tier journals such as Nature Communications and CELL. Career development opportunities, including conference participation, grant writing experience, and authorship on high-impact publications.
If you are a
bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research , we encourage you to apply!
Minimum Salary Range
USD $58,500.00/Yr.
Maximum Salary Range
USD $65,000.00/Yr. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Research, Analyst, and Information Technology Industries Higher Education Referrals increase your chances of interviewing at Albert Einstein College of Medicine by 2x Get notified about new Bioinformatics Analyst jobs in
Bronx, NY . Bioinformatician I-Psychiatry Dr. Akbarian
New York, NY $65,000.00-$87,610.00 2 days ago Bioinformatician I-Psychiatry Dr. Akbarian
New York, NY $65,000.00-$87,610.00 2 days ago Bioinformatics Scientist, Bureau of the Public Health Laboratory
New York, NY $65,885.00-$100,000.00 6 days ago New York, NY $65,000.00-$87,610.00 1 month ago Bioinformatician II-Psychiatry Dr. Akbarian
New York, NY $65,885.00-$100,000.00 2 days ago Bioinformatician I-Psychiatry Dr. Akbarian
New York, NY $65,000.00-$87,610.00 2 days ago Computational Biologist, Single Cell Genomics, Satija Lab
Bioinformatician II - Hematology & Medical Oncology
New York, NY $65,885.00-$100,000.00 4 weeks ago Bioinformatician II-Psychiatry Dr. Akbarian
New York, NY $65,885.00-$100,000.00 2 days ago Senior Computational Biologist, External Collaborations
New York, NY $145,000.00-$175,000.00 6 months ago Senior Computational Biologist, Single Cell Genomics, Satija Lab
New York, NY $100,000.00-$120,000.00 5 months ago New York, NY $120,000.00-$130,000.00 1 week ago New York, NY $90,000.00-$150,000.00 1 month ago New York, NY $60,000.00-$67,599.91 2 weeks ago New York, NY $65,885.00-$100,000.00 6 days ago New York, NY $150,000.00-$165,000.00 3 weeks ago New York, NY $65,000.00-$87,610.00 2 weeks ago Englewood, NJ $155,000.00-$230,000.00 1 week ago New York, NY $65,885.00-$100,000.00 6 days ago Computational Biologist - Human Genomics
Leonia, NJ $15,000.00-$225,000.00 5 days ago Bioinformatician II - Hematology & Medical Oncology
Leonia, NJ $10,000.00-$230,000.00 5 days ago Bioinformatician II - Hematology & Medical Oncology
New York, NY $65,885.00-$100,000.00 2 weeks ago Machine Learning Scientist, Bioinformatics
Bioinformatics Analyst * Must have experience with WGS - whole genome sequencing analysis *
New York, NY $67,771.14-$71,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr