Albert Einstein College of Medicine
POSITION RESPONSIBILITIES
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 lang
uages
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. #J-18808-Ljbffr
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 lang
uages
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. #J-18808-Ljbffr