Open Positions

Index of positions

Position #1568: Reserach Technologist; OGI Core Lab
Position #1560: Postdoctoral Fellow in Single Cell Genomics and Human Genetics of Complex Eye Diseases
Position #1559: Biostatistician / Computational Biologist in Statistical Genetics of Complex Eye Diseases
Position #1557: Post Doctoral Research Fellow; Liu lab
Position #1555: Bioinformatics Team Leader
Position #1554: Post-Doctoral Fellow – Genetics of and Genetic Therapies for Inherited Retinal Degenerations
Position #1430: Research Technologist; Comander Lab





Position #1568: Reserach Technologist; OGI Core Lab


Description:

POSITION SUMMARY:

Under general supervision of the laboratory manager, the research technologist performs diagnostic genetic testing, equipment maintenance, solution and reagent preparation, monitors inventory in addition to other tasks in a highly complex clinical diagnostic laboratory. The technologist performs a wide range of diagnostic lab procedures in a timely manner with high degree of accuracy and precision and with an understanding of theory behind tests and procedures.

ESSENTIAL FUNCTIONS:

  1. Following laboratory SOPs and with close attention to detail, carry out a wide range of moderate to complex genomics techniques, including DNA/RNA extraction, next-generation sequencing (NGS) library preparation/target enrichment, microarrays, and Sanger sequencing for diagnostic-based genetic analyses.
  2. Operate and maintain lab equipment such as sequencers, thermal cyclers, ultra-centrifuges and other scientific equipment related to diagnostic testing.
  3. Accessioning of patient samples into clinical laboratory databases.
  4. Collect, analyze and interpret results. Record quality control metrics.
  5. Perform key experiments to develop and validate new methods and protocols to add to diagnostics testing menu.
  6. Review and write reports, protocols and SOPs.
  7. Meticulous record keeping and to be able to follow CLIA/CLIA-like standard.
  8. Carry out troubleshooting experiments as needed.
  9. Take routine laboratory responsibilities and comply with lab quality control policies and procedures. Pro-actively determine appropriate corrective action and follow up.
  10. Provide functional guidance and immediate supervision to lower level technical personnel.
  11. May teach moderately difficult to complex lab techniques to students and fellows.

EDUCATION AND EXPERIENCE:

BS/MS degree in life science with 2+ years of relevant molecular biology lab experience including NGS.

Experience with DNA extraction, Sanger sequencing and/or NGS (Illumina platform) highly desired.

Expertise in use and programming of automation is a plus.

Organized, methodical, and attention to detail required.

Please indicate whether you are authorized to work for any company in the United States, whether you have a work permit and if you do have a work permit, what type it is.

Please use the link below to apply

:https://partners.taleo.net/careersection/mee/jobdetail.ftl?job=3170322&tz=GMT-04%3A00&tzname=America%2FNew_York

To Apply:

POSITION SUMMARY: Under general supervision of the laboratory manager, the research technologist performs diagnostic genetic testing, equipment maintenance, solution and reagent preparation, monitors inventory in addition to other tasks in a highly complex clinical diagnostic laboratory. The technologist performs a wide range of diagnostic lab procedures in a timely manner with high degree of accuracy and precision and with an understanding of theory behind tests and procedures. ESSENTIAL FUNCTIONS: 1. Following laboratory SOPs and with close attention to detail, carry out a wide range of moderate to complex genomics techniques, including DNA/RNA extraction, next-generation sequencing (NGS) library preparation/target enrichment, microarrays, and Sanger sequencing for diagnostic-based genetic analyses. 2. Operate and maintain lab equipment such as sequencers, thermal cyclers, ultra-centrifuges and other scientific equipment related to diagnostic testing. 3. Accessioning of patient samples into clinical laboratory databases. 4. Collect, analyze and interpret results. Record quality control metrics. 5. Perform key experiments to develop and validate new methods and protocols to add to diagnostics testing menu. 6. Review and write reports, protocols and SOPs. 7. Meticulous record keeping and to be able to follow CLIA/CLIA-like standard. 8. Carry out troubleshooting experiments as needed. 9. Take routine laboratory responsibilities and comply with lab quality control policies and procedures. Pro-actively determine appropriate corrective action and follow up. 10. Provide functional guidance and immediate supervision to lower level technical personnel. 11. May teach moderately difficult to complex lab techniques to students and fellows. EDUCATION AND EXPERIENCE: BS/MS degree in life science with 2+ years of relevant molecular biology lab experience including NGS. Experience with DNA extraction, Sanger sequencing and/or NGS (Illumina platform) highly desired. Expertise in use and programming of automation is a plus. Organized, methodical, and attention to detail required. Please indicate whether you are authorized to work for any company in the United States, whether you have a work permit and if you do have a work permit, what type it is. https://partners.taleo.net/careersection/mee/jobdetail.ftl?job=3170322&tz=GMT-04%3A00&tzname=America%2FNew_York

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Position #1560: Postdoctoral Fellow in Single Cell Genomics and Human Genetics of Complex Eye Diseases


Description:

The Segrè laboratory in the Department of Ophthalmology and Ocular Genomics Institute at
Massachusetts Eye and Ear (MEE), Harvard Medical School, is seeking a highly qualified and motivated
Postdoctoral Fellow to work on innovative projects that combine single cell genomics, human genetics,
functional genomics and systems biology approaches to uncover novel causal mechanisms and pathogenic
cell types for complex eye diseases, including glaucoma and age-related macular degeneration, with the
ultimate goal of identifying new preventative and therapeutic targets for eye disease.


The successful candidate should have a PhD in computational biology or genomics, biostatistics,
computer science, or a related quantitative field, and will be interested in developing and applying novel
computational and statistical methods for analyzing single cell RNA-seq and whole genome sequencing
data from eye tissues in combination with genome-wide association study data to gain biological insights
into cell type-specific processes and regulatory mechanisms that lead to complex eye diseases. The
postdoctoral fellow will have access to data from a collaborative Human Cell Atlas effort aimed at
characterizing the cell types and cell type-specific gene expression and genetic regulation for a range of disease-relevant eye tissues:

http://: https://chanzuckerberg.com/science/programs-resources/single-cell- biology/seednetworks/cell-atlas-of-the-human-eye-from-birth-to-old-age/

The ideal candidate will have strong programming skills, a solid background in statistics, and experience with large-scale data analysis,and will be excited to contribute to advancing the science and medicine of eye disease. The postdoctoral fellow will have the opportunity to develop his or her own research projects and interests within this research area, and to present one’s work at local, national, and international meetings.
The Segrè lab is part of a vibrant research community of computational biologists, experiment biologists
and clinician scientists in the Ocular Genomics Institute at MEE, which is an international leader for
treatment and research in Ophthalmology and Otolaryngology, and is affiliated with the Medical and
Population Genetics community at the Broad Institute of Harvard and MIT. Being a member of our group
will provide the opportunity to contribute to large collaborative efforts in the field of genomics and human
disease. To learn more about the lab research directions please visit: http://www.asegrelab.org/

CHARACTERISTIC DUTIES:
• Develop new statistical and computational methods that integrate single cell RNA-sequencing and
whole genome sequencing (WGS) data to detect cell type-specific allele specific expression and
genetic regulation of gene expression in various healthy eye tissues.


• Develop and apply computational methods that integrate single cell gene expression and
regulation data and other functional genomics data (e.g., expression quantitative trait loci (eQTLs),• epigenetics) with genome-wide association studies (GWAS) to identify key regulatory mechanisms, genes, and pathways that affect complex eye disease risk, and to propose pathogenic cell types.


• Employ machine learning approaches to identify cell type specific pathways or functional modules
that contribute to common eye diseases.


• Organize all scripts in a publicly available repository (e.g., github) with clear documentation.


• Critically review, analyze, and communicate results to our team and collaborators, and summarize
work for first author publications.


• Candidate will work both on independent and collaborative projects and will have the opportunity
to present one’s work at national and international conferences.


EDUCATION AND EXPERIENCE:

•    Ph.D. in computational biology, computer science, (bio)statistics, statistical genetics, mathematics, or a related quantitative discipline required.

•    Strong programming skills and in-depth experience with several programming languages required, e.g. Python, R, C++; experience with Cloud Computing a plus.

•    Experience with Unix/Linux environments, including shell scripting, required.

•    Strong background in statistics, computational genomics, and/or machine learning desired.

•    Research experience with large-scale data analysis, in particular -omics data such as next- generation sequencing, and algorithm development highly desirable.

•    Motivation to contribute to genomic research of eye disease is essential.

•    Demonstrates critical thinking, rigorous work, and ability to meet deadlines.

•    Expected to be quick learner of new analytical approaches and capable of developing new computational methods for solving complex problems.

•    Excellent publication record in peer-reviewed journals.

•    Strong personal skills, and excellent organization and verbal and written communication skills.

•    Ability to work effectively both independently and collaboratively in a fast-paced, academic environment and evolving field.

If interested, please send your CV, a cover letter describing your previous research experience and future
research interests, and contact information for 3 references, to Dr. Ayellet Segrè: ayellet_segre [at]
meei.harvard.edu.

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Position #1559: Biostatistician / Computational Biologist in Statistical Genetics of Complex Eye Diseases


Description:

We are seeking a highly qualified and motivated Biostatistician with a strong background in statistics and
computational biology to study the genetic and biological causes of complex eye diseases, including
glaucoma, age-related macular degeneration, and diabetic retinopathy, and differential drug response. The
candidate will work under the supervision of Dr. Ayellet Segrè and Dr. Janey Wiggs in the Ocular
Genomic Institute and Department of Ophthalmology at Massachusetts Eye and Ear (MEE). MEE is a
teaching hospital of Harvard Medical School and is an international leader for treatment and research in
both Ophthalmology and Otolaryngology. Dr. Wiggs, a glaucoma specialist at MEE, studies the genetic
basis of common and rare forms of glaucoma, and leads the largest genome-wide association study
(GWAS) meta-analyses for primary open angle glaucoma, with national and international collaborators.
Dr. Segrè develops and applies new statistical and computational methods that integrate functional
genomics (e.g., eQTLs, single cell RNA-seq data) data with large-scale human association and
sequencing studies to identify causal regulatory mechanisms, genes and pathways that lead to common
eye diseases, with the ultimate goal of proposing new preventative and therapeutic targets for eye disease.
To learn more about the Segrè lab please visit: https://www.asegrelab.org.


The successful candidate will have a strong background in statistics, statistical genetics, computational
genomics, bioinformatics, or a related quantitative field, and strong programming skills, and should be
excited to contribute to advancing the science and medicine of eye disease. Research experience with
large-scale genomic data desired. Research projects will involve statistical analyses of GWAS, whole
genome and whole exome sequencing data, and large-scale genotype and phenotype data from the UK
Biobank, and integration with functional genomic data, to identify novel genetic risk factors and
biological processes associated with complex eye diseases.


CHARACTERISTIC DUTIES:
• Apply and develop pipelines for preprocessing, quality control, imputation, and phasing of
genotype data (array, whole exome, and whole genome-sequencing), using available and custombuilt tools.


• Pharmacogenetic study of differential response to diabetic retinopathy treatments.


• Perform genetic association analyses at the variant, regulatory element, gene, and gene set levels
in large cohorts (e.g., UK Biobank) to identify common and rare variants, genes, and pathways
associated with glaucoma and other common eye diseases. Build polygenic risk scores.


• Develop and apply new statistical and computational methods that integrate functional genomic
and single cell transcriptomic data with genome-wide association and sequencing studies to gain
biological insights into the causal mechanisms of eye disease.


• Organize all scripts in a publicly available repository (e.g., github) with clear documentation.
• Critically review, analyze, and communicate results to our team and collaborators.


• Work on both collaborative and independent projects and write up work for publications.


REQUIRED EDUCATION AND EXPERIENCE:
• M.Sc. or Ph.D. in statistical genetics, (bio)statistics, computational genomics, bioinformatics,
mathematics, computer science, or a related quantitative discipline required. If MSc level, several
years of experience preferred


• Strong programming skills and in-depth experience with several programming languages required,
e.g., Python, R, Matlab, C++.


• Experience with Unix/Linux environments required, including shell scripting.


• Research experience with statistical analyses of large-scale data required; experience in the field
of genomics and bioinformatics desired.


• Demonstrate critical thinking, rigorous work, and ability to meet deadlines.


• Strong personal skills, and excellent organization and verbal and written communication skills.


• Ability to work effectively both independently and collaboratively in a fast-paced, academic
environment and evolving field.


DESIRED EXPERIENCE AND SKILLS:
• Research experience in statistical genetics, genomics, or next-generation sequencing desired.


• Background in regression models, machine learning, statistical genetics, or computational
genomics a plus.


• A strong motivation to contribute to the development of statistical methods for genomic research
of eye diseases.


WORKING ENVIRONMENT:

The Segrè and Wiggs labs are located in the main hospital building of Mass Eye and Ear (MEE), 243
Charles Street, in standard research and office work spaces of the Ocular Genomics Institute at MEE. The
candidate will work amongst a team of other computational biologists, data scientists, and students in the
Ocular Genomics Institute, and will be part of a larger multidisciplinary research environment, which
includes geneticists, clinical scientists, and experimental biologists. The candidate will have the
opportunity to interact and collaborate with the Medical and Population Genetics community at the Broad
Institute of Harvard and MIT, with whom our labs are affiliated.

If interested, please send your CV, a cover letter describing your previous research experience and future
research interests, and contact information for 3 references to Dr. Ayellet Segrè: ayellet_segre [at] meei
[dot] harvard [dot] edu.

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Position #1557: Post Doctoral Research Fellow; Liu lab


Description:

Research Fellow- Qin Liu Lab

We are seeking a talented and motivated postdoctoral fellow to join our team in the Ocular Genomics Institute at Massachusetts Eye and Ear and Harvard Medical School to investigate the application of AAV-mediated gene therapy and CRISPR/Cas9 genome editing technology for the treatment of human genetic diseases in the eye. 

The eye has been at the forefront of translational gene therapy due to the anatomic accessibility and well-studied immunologic privilege. The first FDA-approved gene therapy for inherited disease is for one form of an inherited retinal degenerative diseases (IRDs).

The postdoc will conduct cutting-edge research to develop therapeutic genome editing approaches for the treatment of several forms of IRDs. The projects are conducted in collaboration with the world’s leading experts in CRISPR field in Harvard Medical School and the Broad Institute. This position is available immediately.

 Qualified candidates must have a PhD degree in Biology, Genetics, or Biomedical Sciences and have strong molecular/cellular biologic skills.  A strong publication record is preferred.

Work experience with genetically modified animal models, CRISPR technology, iPS cells or retinal research is preferred but not absolutely required. 

We expect you to be flexible, open to new ideas, ambitious, an out-of-the-box thinker, and result oriented.

Attitude is as important as aptitude. Applicants must be proficient in both written and spoken English. 

Applicants must have excellent communication and collaboration skills, and be able to work independently as well as in a group environment.

Interested candidates are asked to clearly indicate, in a one to two page cover letter, their lab expertise, especially in genetic and genomics, genome engineering, iPSC or gene therapy, and how you have used your skills and knowledge to shape your science. Candidates should also include a three-four sentence of description on how you would propose to apply CRISPR/Cas9 technology for monogenic inherited diseases. 

 Please send your CV, cover letter, and contact information for 3 references to:

Dr. Qin Liu, MD, PhD

qin_liu@meei.harvard.edu

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Position #1555: Bioinformatics Team Leader


Description:

A talented bioinformaticist and team leader is sought to join the Massachusetts Eye and Ear Bioinformatics Center (MBC) of the Ocular Genomics Institute (OGI) at Mass Eye and Ear (MEE) and Harvard Medical School.  The mission of the OGI is to improve our understanding of the genetic causes of inherited eye diseases, and develop genetically informed therapies to prevent vision loss from these disorders.  MEE is a teaching hospital of Harvard Medical School, and is an international leader for treatment and research in both Ophthalmology and Otolaryngology. The MBC conducts genetic and genomic research while also providing bioinformatics expertise to other clinical and research programs at MEE. The Center is seeking a highly motivated and experienced bioinformaticist to help with addressing the associated computing and analysis needs.  The bioinformatics team leader will apply bioinformatics principles and methods to assist scientists in analyzing, filtering, and processing next-generation sequencing (NGS), genotyping array, and other omics data.  This is a multifaceted position with responsibilities in software development and support, database development and administration, genomic research, and team management.  The team leader will serve as the liaison between the OGI faculty and the bioinformatics programmers in the MBC, providing computational support, assisting in prioritization of work, and serving to facilitate completion of projects in a timely manner. The ideal candidate should have strong computational and programming skills and experience with large-scale data analysis, such as NGS, and be excited to contribute to advancing the science and medicine of eye disease.

Specific responsibilities:

  • Lead the team of bioinformaticists in the MEEI Bioinformatics Center.  This includes helping establish work priorities and delegating projects to other team members.
  • Development and maintenance of bioinformatics pipelines, including those on the OGI High Performance Compute cluster and cloud-based systems such as Terra.
  • Develop custom bioinformatic tools to analyze data from genomics experiments, and perform bioinformatics analyses.
  • Design and facilitate the maintenance of databases used to process and analyze genomic and RNA-seq data.
  • Oversee the OGI cluster management in collaboration with the Mass General Brigham data center team.  Install, maintain and update required bioinformatic software and databases.
  • Work closely with other computational and experimental scientists to design experiments
  • Help maintain collaborations with other research groups, such as the Data Science Platform at the Broad Institute.
  • Provide IT-related and bioinformatic help, training and advice to lab researchers as needed.

Minimum Education and Experience:

  • Master’s or PhD Degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative discipline, and 3+ years of related work experience required.
  • Strong programming skills and in-depth experience with several programming languages, such as Python, R, Perl, or C++.
  • Experience with Unix/Linux environments, including shell scripting and High Performance Computing (HPC) cluster usage.
  • Experience in applying rigorous statistical methods to large-scale biological data, such as next-generation sequencing data.
  • Demonstrate critical thinking, rigorous work, and ability to meet deadlines.
  • Strong personal skills, and excellent organization and verbal and written communication skills.

Desired Experience:

  • Background in computational genomics, statistical genetics, or machine learning.
  • Analyses involving large, publicly-available genomic datasets (e.g. GTEx, gnomAD).
  • Experience using cloud-based computing resources.
  • Experience with Linux server administration.
  • Experience with SQL and NoSQL Databases and web programming/HTML

Work Environment:

The lab is located in the main hospital building of Mass Eye and Ear at 243 Charles Street, in a standard research and office work space that is part of MEE’s Ocular Genomics Institute. The bioinformaticist will work amongst other computational biologists and computer scientists in the Bioinformatics Center of the OGI, and will be part of a larger multidisciplinary research cummunity, which includes geneticists, clinical scientists, and experimental biologists.

Interested candidates should send their CV, a cover letter, and contact information for 3 references to:

Dr. Eric A Pierce and Dr. Ayellet Segre

Ocular Genomics Institute

Mass Eye and Ear

243 Charles St

Boston, MA  02114

Eric_Pierce@meei.harvard.edu

Ayellet_Segre@meei.harvard.edu

To Apply:

Interested candidates should send their CV, a cover letter, and contact information for 3 references to: Dr. Eric A Pierce and Dr. Ayellet Segre Ocular Genomics Institute Mass Eye and Ear 243 Charles St Boston, MA 02114 Eric_Pierce@meei.harvard.edu Ayellet_Segre@meei.harvard.edu

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Position #1554: Post-Doctoral Fellow – Genetics of and Genetic Therapies for Inherited Retinal Degenerations


Description:

We are seeking a talented postdoctoral fellow to join our team to study the genetic causality of and gene therapies for inherited retinal degenerations (IRDs).  IRDs are important causes of vision loss that affect people of all ages.  These disorders cause vision loss via dysfunction and death of the photoreceptor and retinal pigment epithelial cells of the retina.  Over 270 IRD disease genes have been identified to date, but the genetic cause of disease remains elusive for 1/3rd of affected patients.  Genetic therapies show great promise for reducing or preventing vision loss from IRDs and clinical trials are in progress for multiple genetic forms of IRD.  We are looking for a postdoc to join our NIH-funded project to improve our understanding of the genetic causes of IRDs, study disease mechanisms, and test genetic therapies for specific forms of IRD. 

Qualified candidates should have strong molecular and cellular biologic skills, and be able to work independently as well as in a group environment.  This position offers an excellent opportunity to learn and apply skills in genetics, molecular biology, gene therapies, and evaluation of animal and cell-based models of disease.  Experience in one or more of these areas is preferred. 

To Apply:

Interested candidates should send their CV, a cover letter, and contact information for 3 references to: Dr. Eric A Pierce Ocular Genomics Institute Mass Eye and Ear 243 Charles St Boston, MA 02114 eric_pierce@meei.harvard.edu

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Position #1430: Research Technologist; Comander Lab


Description:

POSITION SUMMARY:

Executes & designs experiments for translational research to study genetics and gene therapies for inherited retinal degenerations. Applicant would join a growing team of investigators in an expanding, exciting field of science.

ESSENTIAL FUNCTIONS:

1. Conduct broad range of experiments involving advanced technology; participate in the design of experimental protocols to achieve the scientific objectives of the research projects, which directly benefit the care of patients.

2. Carry out complex laboratory techniques and procedures, some of which include: cell culture, transfection, viral transduction, immunofluorescence, RNA/DNA isolation, RT-PCR, qPCR, DNA sequencing, plasmid design and construction, microscopy, flow cytometry. Access to the latest technology provided.

3. Preferable: Perform minor procedures on small animals (e.g. injections). Training available.

4. Maintain careful paperwork and attention to detail.

5. Performs other general lab duties as assigned.

6. Potential to advance to Senior Research Technologist (or as preparation for graduate studies)

EDUCATION AND EXPERIENCE:

Bachelor’s or master’s degree required in biological or physical sciences plus two or more years related experience, with an academic knowledge of basic biology plus the ability to translate, adapt and apply this knowledge. Applicant can perform intermediate and advanced level research in a health science discipline.  Sufficient independent lab experience is required so that experiments can be performed independently, with troubleshooting as needed. In general, we interpret this to be consistent with two or more years of full-time lab experience (outside of undergraduate training).

WORKING CONDITIONS:

Academic research/lab setting.  Exposure to lab equipment and other research items/specimens.

PHYSICAL REQUIREMENTS:

Lifting and carrying lab/research items/objects and specimens where required. Dexterity to perform minor procedures on small animals is preferred.

To Apply:

Send resume and 3 letters of reference to Jason_Comander@meei.harvard.edu

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