Thank you for your interest in the Englander Institute for Precision Medicine at Weill Cornell Medicine.  We are looking for skilled talent to join our team.  Please find descriptions of current opportunities below, and follow the application instructions. We look forward to speaking with you.

Research Technician I

Position Summary

Under supervision, assists scientists with laboratory and investigative procedures This role performs various assays, imaging experiments, and other technical duties to assist with the research activities of the laboratory and may be required to work with animal models and/or human subjects.

Job responsibilities:

  • Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting.
  • May be responsible for tissue & cell culture activities.
  • May be responsible for animal husbandry, genotyping, surgeries, post-operative care, behavioral testing, sectioning and histology.
  • May perform routine molecular biology laboratory procedures, such as PCR, protein and DNA electrophoresis, cloning and DNA preparation.
  • May run routine biochemistry assays including western blotting and RT-PCR.
  • May perform microscopic imaging analyses.
  • May be responsible for the receipt, storage, cataloguing and shipment of samples within and between institutions.
  • Ensures a clean working area and is responsible for washing and storing glassware.
  • Ensures the safe laboratory practices are followed, including the use and disposal of chemicals and hazardous materials.
  • Analyzes data using computer software and reports results to the principle investigator(s).
  • Provides technical support to faculty and staff including training of new employees, residents, postdoctoral associates, fellows and students.
  • Participates in planning and carrying out experiments. Assists in preparing research protocols.
  • Conducts library research and literature searches using various computer systems. Assists in editing scientific publications, abstracts and posters.
  • Maintains inventory of supplies, equipment and/or reagents. May order supplies/equipment/reagents as authorized or ensure that needs are escalated appropriately. Receives supply orders and confirms accuracy of delivery. May assist with cost control.
  • Ensures that facilities and equipment are in optimal and proper working condition. Coordinates preventative maintenance and repairs as needed. May perform minor repairs if qualified and as needed. May advise on upgrades for performance enhancements.

Education: Bachelor’s degree.

Experience: Some bench lab related experience. Minimum two-year commitment due to a substantial training effort associated with the position.

Knowledge, Skills and Abilities:

  • Demonstrated organizational skills and ability to pay close attention to detail. Ability to plan and prioritize work while responding flexibly to rapidly changing priorities.
  • Standard laboratory conditions.
  • Ability to work flexible hours.
  • This position may handle radioactive material and/or biologic materials from human subjects as required.
  • This position may require standing or sitting for long periods of time.
  • This role may require working within Biologic Safety Level 1, 2 and/or 3 facilities.

Excellent benefits package.

To apply: Send a cover letter & resume to Mr. Michael Sigouros, EIPM Lab Manager, via email: mis2092@med.cornell.edu; or through the WCM HR website: Research Tech EIPM #32722 and Research Tech EIPM #33282.

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Research Specialist–Epigenomics Core Facility

Position Summary

The Epigenomics Core Facility at Weill Cornell is an advanced genomics center that specializes in developing and providing cutting edge technologies for epigenetic and genetic profiling. Among the core expertise are methylation profiling, chromatin accessibility, single cell gene expression and extensive computational infrastructure for management, analysis and distribution of data. We are seeking a Research Specialist who will be interacting with the scientific community at Weill Cornell and advance their research projects.  The responsibilities of this position will include technical support for the existing core facility resources and services, assay development, and implementation of new techniques primarily based on high-throughput sequencing assays. The Research Specialist will work with the Core Director to review and troubleshoot procedures and to maintain complete documentation for assay development, sample and process tracking, quality assessment, data return and results reporting.

Job Responsibilities:

  • Perform experimental procedures as outlined in the core facility’s standard operating procedures.
  • Perform molecular biological techniques, PCR, DNA/RNA and single cells quality control, library preparation for high throughput sequencing.
  • Run automated and high throughput instrumentation.
  • Troubleshoot assays; detect and resolve technical problems with the instruments and with samples.
  • Under supervision, test and implement new protocols and optimize existing protocols.
  • Organize and summarize data for group presentations and for publication.

Experience:

  • Bachelor’s degree in the biological sciences, minimum 4 years relevant work experience.
  • Position requires flexibility and willingness to work irregular hours and some weekends.
  • Must enjoy collaborating with others, reliable, and a strong sense of responsibility.  Attention to detail and multitasking abilities are critical.

Knowledge, Skills and Abilities:

  • Successful candidates are expected to have strong critical thinking as well as problem solving skills, and should be motivated to develop their scientific skills.
  • Ability to work with a team in a high throughput production environment.
  • Motivated to learn and optimize techniques, detail-oriented, excellent communication and interpersonal skills.
  • Commitment of two years required.
  • Maintains accurate records of experimental procedures performed.
  • Maintains core facility environment in orderly, operable condition.
  • Operates core facility equipment.
  • Experienced with automated instrumentation.
  • Ability to express self concisely, accurately and effectively both verbally and in writing.
  • Knowledge of MS Word and Excel.

To apply:

  • A cover letter, contact information (including email address) for three references, and resume to epicorejobs@med.cornell.edu.
  • An application through Weill Cornell Medicine Career Opportunities portal

Req Number 33164 – Research Specialist, Genomics & Epigenomics

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Research Specialist: HTDS 

Position Summary

Supports the development, implementation and operation of a new High Throughput Drug Screening Facility (HTDS). Performs and helps develop specialized research protocols in collaboration with multiple WCM laboratories using the established HTDS. Performs high content imaging protocol design and analysis optimization, robotic operation and error troubleshooting, as well as processes and interprets large data sets. Please visit this article for more information about our HTDS.

Job Responsibilities:

  • Responsible for the operation of HTDS facility-related projects within Weill Cornell Medicine’s Englander Institute for Precision Medicine.
  • Performs and evaluates automated in vitro assays for high throughput identification of cancer therapies.
  • Performs instrument maintenance and troubleshooting as necessary.
  • Executes projects associated with efforts between the HTDS facility, the facility co-directors, collaborators and CORE customers to perform high throughput drug screening assays and analysis.
  • Develops SOP’s of all technical aspects of the Perkin Elmer Operetta platform.
  • Works with collaborators to create and optimize new imaging protocols and analysis sequences for each collaboration associated with the system.
  • Coordinates with manufacturer to troubleshoot problems.
  • Coordinates with manufacturer to troubleshoot problems.
  • Responsible for data analysis and presentation using Excel spreadsheets, GraphPad Prism, and related programs and statistical software such as R, Python.
  • Maintains experiment records, inventory and instruments. Orders supplies and maintains expense records.

Education: Bachelor’s Degree.

Experience:

  • Masters or Ph.D. degree with relevant experience preferred, (candidates with Bachelor’s degree and exceptional background and experience will be considered).
  • 2 years’ experience in high throughput automation, with programming experience.
  • Minimum 2 years of cell culture experience, 3D organoid cultures a plus.
  • Familiarity with in vitro drug testing, liquid handling automation and high content imaging.
  • Experience with programming (R, Python, or statistical software).

Knowledge, Skills and Abilities

  • Ability to work independently and follow through on work assignments.
  • Ability to work closely and coordinate with various large teams and stakeholders.
  • Strong organizational skills.
  • Strong analytical and technical problem-solving skills.
  • Appreciates and understands the connection between individual goals, departmental goals and the organizational mission.
  • Approaches the job knowing that there are internal and external customers whose expectations we strive to exceed.
  • Demonstrates integrity and ethics at all times.
  • Maintains a flexible and forward-thinking approach to the way work is done.
  • Maintains a team-oriented approach, and possesses the ability to cultivate positive and collegial workplace relationships.
  • Possesses excellent work-related skills and the ability to apply them, while continually seeking ways to improve.
  • Possesses the ability to facilitate the flow of information through effective written and oral communication.
  • Understands the need to be responsible for our own outcomes, and takes pride in delivering the best possible work product.

To apply: Please send a cover letter and resume to Danielle Bulaon dkb2003@med.cornell.edu

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Research Specialist–Part Time

Position Summary

Under guidance, oversees and coordinates the daily activities within the research laboratory. This role also assists scientists, both independently and collaboratively, with laboratory and investigative procedures and may be required to work with animal models and/or human subjects. Under direction of  Dr. Melissa Davis, Breast Surgery, in the Department of Surgery.

Job Responsibilities:
  • Evaluates, recommends, and develops new techniques to assist in overall laboratory efficiency.
  • Writes/amends laboratory operating protocols and implements new technology and protocols as needed.
  • Ensures laboratory quality assurance goals and standards are met. Evaluates results of quality control trends and implements corrective action when needed.
  • May independently or semi-independently, design and carry out experiments. Analyzes and interprets experimental results and provides input related to subsequent experimental designs.
  • Conducts library research and literature searches using various computer systems. Assists in editing scientific publications, abstracts and/or posters.
  • Audits and screen vendors/suppliers to evaluate the quality of products and equipment they supply. Corresponds with them for technical support pertaining to those products.
  • Responsible for tissue & cell culture activities.
  • Prepares and maintains detailed records, logs and summary reports of all procedures and results including graphs, scientific calculations, and statistical analysis charting.
  • Maintains inventory of supplies, equipment and/or reagents. May order supplies/equipment/reagents as authorized or ensure that needs are escalated appropriately. Receives supply orders and confirms accuracy of delivery. May assist with cost control.
  • Ensures a clean working area and is responsible for washing and storing glassware.
  • Ensures the safe laboratory practices are followed, including the use and disposal of chemicals and hazardous materials.
  • May need to assist in the orientation and training of new investigators, fellows, residents, and technical staff and/or provide working supervision to lower level laboratory staff.
  • May be responsible for animal husbandry, genotyping, surgeries, post-operative care, behavioral testing, sectioning and histology.
  • May perform routine molecular biology laboratory procedures, such as PCR, protein and DNA electrophoresis, cloning and DNA preparation.
  • May run routine biochemistry assays including western blotting and RT-PCR.
  • May perform microscopic imaging analyses.
  • May be responsible for the receipt, storage, cataloguing and shipment of samples within and between institutions.
Education: Bachelor’s Degree
Experience: Approximately 3-5 years of related work experience within a laboratory
Knowledge, Skills and Abilities: Demonstrated organizational skills and ability to pay close attention to detail. Ability to multi-task and handle multiple competing priorities

Click for more information and to apply.

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Postdoctoral Fellow

Position Summary

The Englander Institute for Precision Medicine (EIPM) at Weill Cornell Medicine is seeking a postdoctoral fellow with a background in immuno-oncology or a related field to join our team. We are seeking a dynamic individual with leadership qualities who will be responsible for designing and executing studies to create novel personalized tumor models with their own immune microenvironment, enabling the concept of a “clinical trial in a dish,” and helping develop next-generation immunotherapies.

A priority of the EIPM is to develop next generation cancer models that include components of the tumor microenvironment, such as immune cells. These models will allow the development of new immunotherapies, as well as the study of mechanisms of resistance to current ones, using flow cytometry, mass cytometry (Hyperion/Cytof) and Crispr screenings. Our goal is to translate these findings to the clinic.

The work will be performed under the supervision of Dr. Laura Martin, Director of Ex Vivo Models at the EIPM, as part of the organoid platform, and Dr. Olivier Elemento, Director of the EIPM. The candidate will collaborate with a multidisciplinary team composed of basic scientists, computational biologists, pathologists, immunologists, medical oncologists and industry, with significant resources for bioinformatics support and studies in human tissues.

The candidate is expected to perform experiments using tumor-infiltrating lymphocytes (TILs) that would be expanded from tumor specimens. Once expanded, TILs will be co-cultured with tumor-derived organoids from the same specimen to test new immunomodulatory therapies by flow cytometry, mass cytometry and high content imaging. A desire to develop and implement new methodologies is highly advantageous. There will be numerous opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding scientists and industry.

Applicants should have experience in a related field, together with a strong publication record, and previous research experience in immunology, immuno-oncology, and the tumor microenvironment. Experience with several of the following activities would be desirable: expansion of T cells, characterization of T cells by flow cytometry, and cell culture of primary samples. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.

Job Responsibilities:

  • Perform experiments using tumor-infiltrating lymphocytes (TILs) that will be expanded from tumor specimens. Once expanded, TILs will be co-cultured with tumor derived organoids from the same specimen to test new immunomodulatory therapies by flow cytometry, mass cytometry and high content imaging.

Education: M.D. and/or Ph.D. in biological sciences, biochemistry or related field

Experience: 

  • Minimum 2 years laboratory experience
  • Strong publication record
  • Driven and self-motivated, with a willingness to tackle and drive execution of challenging projects
  • Ability to learn and deliver work in fast-paced and diverse environment
  • Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
  • Preferred experience: flow cytometry, T cell biology and cell culture
  • Desirable experience: confocal microscopy, molecular biology (genome editing skills), 3D cell culture
  • Excellent organization and documentation skills

 Knowledge, Skills and Abilities:

  • Strong communication skills and an ability to interact well with others
  • Detail-oriented

 To Apply

Interested candidates should forward their CV/resumes, with cover letter, to Dr. M. Laura Martin (mlm4001@med.cornell.edu).

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Postdoctoral Fellow–Molecular Aging Initiative, with a background in Molecular Biology.

Position Summary

The Englander Institute for Precision Medicine (EIPM) at Weill Cornell Medicine is seeking a postdoctoral fellow with a background in molecular biology or a related field to join our team.  We are seeking a dynamic individual with leadership qualities who will be responsible for designing and executing studies focused on clonal hematopoiesis and model development – to reduce the risk of cancer and cardiovascular disease associated with aging.

A priority of the EIPM is to develop innovative new ways of predicting risk of future disease through (i) identification of somatic changes in the peripheral blood such as clonal hematopoiesis via cohort-based and population-based studies (ii) develop targeted clinical trials and pre-clinical models based on these somatic changes; and (iii) change the standard of care and reduce age-related adverse outcomes via drug development. Our research is focused on the utilization of patient samples to ascertain the functional impact of genetic and epigenetic alterations that occur during normal aging and that have known associations with cancer and cardiovascular disease.  Our goal is to translate these findings to the clinic.

The work will be performed under the supervision of Dr. Duane Hassane, Director of Leukemia Genomics, of the EIPM. The candidate will collaborate with a multidisciplinary team composed of basic scientists, computational biologists, pathologists, and medical oncologists, with significant resources for bioinformatics support and studies in human tissues.

The candidate is expected to perform experiments exploring next generation sequencing methods and implementation, clonal hematopoiesis model development, bone marrow microenvironment, bone marrow metabolism, and genetic and epigenetic alterations using a variety of systems including cell lines, co-culture systems, xenografts, and genetically engineered mouse models.  A desire to develop and implement new methodologies is highly advantageous.  There will be numerous opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding scientists.

Applicants should have experience in a related field, together with a strong publication record, and strong previous research experience in genomics, bioinformatics, or related fields. Experience with several of the following activities would be desirable: characterization of genetically engineered mouse models, work with patient-derived xenografts and culture of primary cells.  Initial salary is commensurate with experience. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.

Job Responsibilities:

  • Perform experiments using next generation sequencing, clonal hematopoiesis model development, bone marrow microenvironment, bone marrow metabolism, measurable residual disease post-therapy, and genetic and epigenetic alterations using a variety of systems including cell lines, co-culture systems, xenografts, and genetically engineered mouse models.  An interest in advancing methods.

Education: MD and/or PhD in biological sciences, biochemistry or related field

Experience: 

  • Minimum 2 years laboratory experience
  • Strong publication record
  • Driven and Self-motivated – Willingness to tackle and drive execution of challenging projects
  • Ability to learn and deliver work in fast-paced and diverse environment
  • Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
  • Preferred experience: next generation sequencing, genomics, molecular biology expertise
  • Desirable experience: characterization of genetically engineered mouse models, work with patient-derived xenografts and culture of primary cells
  • Excellent organization and documentation skills

Knowledge, Skills and Abilities:

  • Strong communication skills and an ability to interact well with others
  • Detail-oriented

To Apply:

Interested candidates should forward their CV/resumes, with cover letter, to Dr Duane Hassane (dhassane@med.cornell.edu)

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Senior Bioinformatics Analyst

Position Summary

Leads the development, testing and maintenance of analytical pipelines used to support genomic testing based on whole exome sequencing and other tests within the lab of world-renowned computational biologist Olivier Elemento, Ph.D., Director of the Englander Institute for Precision Medicine.

Job Responsibilities:

  • Responsible for biostatistical analysis and data interpretation for large data sets. Performs genomic analyses including mutation analyses, integrates datasets and generates figures summarizing results and key findings.
  • Implements pipelines for detecting and annotating mutations from single patient, whole-exome sequencing datasets.
  • Implements primary processing pipeline and quality control; runs pipeline(s) on all new samples.
  • Implements procedures for disaster recovery and resuming failed jobs.
  • Works closely with bioinformatics team(s) to define specifications for information systems, relational datasets, and sequencing analysis.
  • Develops novel algorithms and tools for high throughput data analysis.
  • Explores new computing platforms, performs benchmarking and implements data sharing.
  • Performs other related duties as assigned.

Education: Bachelor’s Degree in related field

Experience: 

  • B.S. in molecular biology, genetics, bioinformatics, biomedical engineering or computer science desired. MS or PhD in systems biology, bioinformatics or computer biology is highly desired.
  • Approximately 3 years of related experience.
  • Bioinformatics analysis expertise as demonstrated by multiple published papers.
  • Excellent programming expertise in at least one of the following languages: C, C++, Java or Python.
  • Experience in biology and/or cancer biology is preferred.
  • Experience working in an academic environment is highly desired.

Knowledge, Skills and Abilities:

  • Previous experience in designing and building bioinformatics workflows preferred.
  • Previous experience analyzing and summarizing genomic datasets preferred.
  • Excellent communication skills.
  • Excellent understanding of biology and biomedicine.
  • Ability to work with limited supervision.

To Apply: Follow this link to apply: https://career4.successfactors.com/career?company=C0000274692P&career_job_req_id=26581&career_ns=job_listing&navBarLevel=JOB_SEARCH

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Pathology Fellowship in Translational Research and Precision Medicine

Position Summary

The Englander Institute for Precision Medicine and the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine offers a one to two-year Research Fellowship in Translational Research and Precision Medicine.  With a major exposure to oncologic pathology and a comprehensive translational research component, this training program will focus on the clinical application of multiple platforms of next-generation sequencing for identifying and validating novel alterations in an array of tumor types.

The goal of this Pathology Research Fellowship program is to train a new generation of pathologists to gain expertise in the clinical application of state-of-the-art sequencing technologies, and to become leaders in the field of Precision Medicine.  The Pathology Fellow will act as a bridge between pathologists, oncologists, surgeons, computational biologists and basic scientists, in order to use next-generation sequencing of tumor genomes as a clinical tool for patient care. Successful applicants will work with WCM Faculty, including Juan Miguel Mosquera, MD, Olivier Elemento, PhD, Cora Sternberg, MD, Andrea Sboner, PhD.

One position is available to start immediately.

Job Responsibilities:

  • To familiarize with operation of next-generation sequencing platforms.
  • To learn about the data processing pipeline and bioinformatics aspects of next-generation sequencing.
  • To be involved in the development and validation of clinical tests.
  • To participate in pathology-related activities of next-generation biobanking including our pan-cancer Rapid Autopsy program.
  • To develop skills in sequencing data interpretation with computational scientists and bioinformaticians.
  • To present clinical, pathologic and sequencing data and its clinical implications at the multidisciplinary Precision Medicine tumor board.

Education: Candidates who have completed pathology residency and pathologists in training will be considered.

Experience: 

  • Prior experience in molecular biology/molecular pathology and/or prior fellowship training is encouraged.

Knowledge, Skills and Abilities:

Working Conditions/Physical Demands:

The Englander Institute for Precision Medicine at Weill Cornell Medicine is a translational research hub to promote molecular diagnostics and therapeutics.  Physician-scientists at the Institute plan to precisely identify the genetic influencers of a patient’s cancer, and use this genetic information to design a more effective course of treatment that targets those specific contributing factors. Patients with advanced or refractory cancer are referred to the Precision Medicine Clinic.  After informed consent through an IRB-approved protocol, tumor and germline sequencing is performed.  Through an integrative sequencing strategy, clinically relevant targets for treatment are identified and reviewed by a multi-institutional Precision Medicine Tumor Board, with experts from medical oncology, pathology, computational biology, genetics, and ethics. The Institute’s three main resources are next-generation genomics, pathology and biobanking, and computational biology, all of which facilitate the most efficient coupling of new, biologically targeted therapeutics to the right cancer patients.

The Institute is located in a beautiful residential neighborhood along the East River in Manhattan within walking distance of Central Park and the midtown entertainment and shopping areas. Attractions include major museums, concert halls, theaters, and an opera house all of which are in close proximity.

To Apply: Please send an email to Juan Miguel Mosquera, M.D., at jmm9018@med.cornell.edu, and include your Curriculum vitae, personal statement and two letters of recommendation.

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Bioinformatics Analyst (Genomics and Clinical data)

Position Summary

At the Englander Institute for Precision Medicine (EIPM), our mission is to use Next Generation Sequencing (NGS) data to give late-stage cancer patients therapeutic options to prolong and better their quality of life. In just four years we have built a CLIA-approved genomics test that has already been used on over 800 patients. As a Bioinformatics Analyst at IPM, you will be able to immediately impact and build data products aimed at expanding the scope of our genomics platform. You will get to create new ways of improving aspects of the genomics platform such as sample collection, sequencing, genomic data analysis, and reporting. You will also get to work with a diverse team of software engineers, bioinformaticians, researchers, and physicians, and create products that deepen our understanding of how cancers evolve and the best treatment options for them.

The Bioinformatics Analyst will perform statistical and integrative data analysis for genomics and clinical data for the Institute for Precision Medicine (EIPM). You will arm IPM with data and insights to help enhance the clinical sequencing portfolio. You’ll be focused on improving our Whole Genome analysis pipeline (SNVs, CNVs, Structural Variant calling) for our Whole Genome test. You should be passionate about finding inefficiencies in how we generate clinically actionable insights, and enjoy brainstorming and building workflow solutions.

Job Responsibilities: 

  • Conducting and maintaining systematic documentation of clinical-enterprise software pipelines for compliance using (git/svn/etc.)
  • Assisting in the development of new software tools and build pipelines for novel bioinformatics analyses
  • Assisting in development and maintenance of genomic and clinical databases
  • Creating web user interfaces for to explore large data stores, combining genomic and clinical data and statistical analyses to help other IPM team members understand insights form theses data stores
  • Performing statistical and integrative data analysis on genomics and clinical data

Experience: 

  • Demonstrated ability to run computationally intensive jobs on HPC and Cloud computing environments
  • Previous experience in designing and building bioinformatics workflows
  • Proficiency in programming in Java, C, C++
  • Experience in web user interface applications and database design
  • Knowledge of clinical IT systems (OMOP, HL7 messaging, etc.)

Knowledge, Skills and Abilities: 

  • Driven and Self-motivated. Willingness to tackle and drive execution of challenging projects
  • Ability to learn and deliver work in fast-paced and diverse environment
  • Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
  • BS in Bioinformatics, Biomedical Engineering, Computer Science or Related Field
  • Minimum 3 years experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)
  • Knowledge and proficiency of UNIX
  • Proficiency in at least one scripting language : (R, Ruby, Python, Perl)
  • Experience using Git/SVN

To Apply: Please send cover letter, CV and contact information for at least two referees to Kenneth Wha Eng  kwe2001@med.cornell.edu

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Bioinformatics Analyst–Drukier Institute for Children’s Health – Open Bioinformatics Positions

Position Summary

Currently seeking a Bioinformatics Analyst.

Education: BS in Bioinformatics, Biomedical Engineering, Computer Science or Related Field

Experience:

  • Minimum of 3 years’ experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)

Knowledge, Skills and Abilities:

  • Knowledge and proficiency of UNIX
  • Proficiency in at least one scripting language : (R, Ruby, Python, Perl); Experience using Git/SVN

 

Position Summary

Currently seeking a Bioinformatics Research Associate

Education: MS in Bioinformatics, Biomedical Engineering, Computer Science or Related Field. Alternatively we would accept applicants with a PhD in Bioinformatics, Biomedical Engineering, Computer Science or Related Field.

Experience:

Minimum of 3 years’ experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)

Knowledge, Skills and Abilities:

  • Knowledge and proficiency of UNIX
  • Proficiency in at least one scripting language : (R, Ruby, Python, Perl); Experience using Git/SVN
  • Experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)
  • Knowledge and proficiency of UNIX

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Bioinformatics Senior Research Associate

Position Summary

The Bioinformatics Analyst will perform statistical and integrative data analysis for genomics and clinical data for the Institute for Precision Medicine (EIPM). You will arm IPM with data and insights to help enhance the clinical sequencing portfolio. You’ll be focused on improving our Exome analysis pipeline (SNVs, CNVs, translocations, and viral detection) for our EXaCT-2 clinical test. You should be passionate about finding inefficiencies in how we generate clinically actionable insights and enjoy brainstorming and building workflow solutions.

At the Gale and Ira Drukier Institute for Children’s Health (DICH) our mission is to accelerate translational research in order to better understand diseases that start in childhood. An important goal of the Institute is to create an infrastructure that fosters the culture of pediatric cohort development towards the implementation of genomic, systems biology and personalized treatment approaches.  In a focused and collaborative environment, investigators work toward improving the understanding of, finding new treatments for, and ultimately preventing childhood diseases.

As a Bioinformatics Analyst at DICH, you will be able to immediately impact and build data products aimed at expanding the scope of our genomics platform. You will get to create new ways of improving aspects of the genomics platform such as sample collection, sequencing, genomic data analysis, and reporting. You will also get to work with a diverse team of researchers, physicians, software engineers, and bioinformaticians,  and create products that deepen our understanding of how childhood diseases evolve and the best treatment options for them.

Job Responsibilities:

  • Conducting and maintaining systematic documentation of clinical-enterprise software pipelines for compliance using (git/svn/etc.)
  • Assisting in the development of new software tools and build pipelines for novel bioinformatics analyses
  • Assisting in development and maintenance of genomic and clinical databases
  • Creating web user interfaces for to explore large data stores, combining genomic and clinical data and statistical analyses to help other IPM team members understand insights form theses data stores
  • Performing statistical and integrative data analysis on genomics and clinical data

Education: 

  • PhD in Bioinformatics, Biomedical Engineering, Computer Science or Related Field

Experience:

  • Minimum of 3 years’ experience working with next generation sequencing data and relevant tools (GATK, samtools, BWA, TopHat, STAR,etc.)
  • Knowledge and proficiency of UNIX
  • Proficiency in at least one scripting language : (R, Ruby, Python, Perl); Experience using Git/SVN

Knowledge, Skills and Abilities:

  • Conducting and maintaining systematic documentation of clinical-enterprise software pipelines for compliance using (git/svn/etc.)
  • Assisting in the development of new software tools and build pipelines for novel bioinformatics analyses
  • Assisting in development and maintenance of genomic and clinical databases
  • Creating web user interfaces for to explore large data stores, combining genomic and clinical data and statistical analyses to help other IPM team members understand insights form theses data stores
  • Performing statistical and integrative data analysis on genomics and clinical data
  • Driven and Self-motivated. Willingness to tackle and drive execution of challenging projects
  • Ability to learn and deliver work in fast-paced and diverse environment
  • Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
  • Demonstrated ability to run computationally intensive jobs on HPC and Cloud computing environments
  • Previous experience in designing and building bioinformatics workflows
  • Proficiency in programming in Java, C, C++
  • Experience in web user interface applications and database design
  • Knowledge of clinical IT systems (OMOP, HL7 messaging, etc.)

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Postdoctoral Fellow with a background in cancer biology or a related field

Position Summary

The Englander Institute for Precision Medicine at Weill Cornell Medicine is seeking a postdoctoral fellow with a background in cancer biology or a related field to join our team.  We are seeking a dynamic individual who will be responsible for designing and executing studies focused on circulating tumor cells and organoid development.

A priority of the Englander Institute for Precision Medicine is to optimize and implement new innovative cancer tests that can be utilized to (i) identify cancer biomarkers in the circulating tumor cells that tell oncologists if a patient’s cancer is progressing and which therapies will be most effective for that patient (ii) develop targeted clinical trials for patients with highly recurrent mutations; and (iii) enhance scientists understanding of the complex mechanisms of tumor cell mobility. Our research is focused on the utilization of patient derived models of cancer, the definition of distinct molecular classes of cancer using genomic data from human samples, studying the functional impact of novel genetic and epigenetic alterations in preclinical models, and investigating the potential to translate these findings to clinical relevance.

The work will be performed under the supervision of Dr. Olivier Elemento, Director of Englander Institute for Precision Medicine. The candidate will collaborate with a multidisciplinary team composed of basic scientists, computational biologists, pathologists, and medical oncologists, with significant resources for bioinformatics support and studies in human tissues.

The candidate is expected to perform experiments exploring high-throughput drug screening platforms, organoid model development, tumor microenvironment, tumor metabolism, and genetic and epigenetic alterations using a variety of preclinical model systems including cell lines, xenografts, and genetically engineered mouse models.  A desire to develop and implement new methodologies is highly advantageous.  There will be numerous opportunities for training to complement current skills, and we envision numerous collaborations with other outstanding scientists.

Applicants should have experience in a related field, together with a strong publication record, andstrong previous research experience in signal transduction, transcriptional control, genomics and bioinformatics, or related fields. Experience with several of the following activities would be desirable: characterization of genetically engineered mouse models, work with patient-derived xenografts and culture of primary cells.  Initial salary is commensurate with experience. Applying for independent funding is not required, but is strongly encouraged for the career development of the candidate.

Job Responsibilities:

  • Perform experiments exploring high-throughput drug screening platforms, organoid model development, tumor microenvironment, tumor metabolism, and genetic and epigenetic alterations using a variety of preclinical model systems including cell lines, xenografts, and genetically engineered mouse models

Education: PhD in biological sciences, biochemistry or related field.

Experience:

  • Minimum 2 years laboratory experience
  • Strong publication record
  • Driven and Self-motivated – Willingness to tackle and drive execution of challenging projects
  • Ability to learn and deliver work in fast-paced and diverse environment
  • Comfortable with communicating and working alongside a diverse team of scientists and medical professionals
  • Preferred experience: characterization of genetically engineered mouse models, work with patient-derived xenografts and culture of primary cells
  • Excellent organization and documentation skills

Knowledge, Skills and Abilities:

  • Strong communication skills and an ability to interact well with others
  • Detail-oriented

To Apply: Interested candidates should forward their CV/resumes, with cover letter, to Theresa MacDonald (thm2008@med.cornell.edu).

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Postdoctoral position in Computational host-mycobiota interactomics, The Iliev Lab

Position Summary

Postdoctoral position in Computational host-mycobiota interactomics is available at Weill Cornell Medicine, New York City. Dr. Iliyan D. Iliev is looking for a recent Ph.D graduate with a strong background and expertise in computational biology with focus on metagenomics, microbiome, transcriptomics, fungal or bacterial genome/ transcriptome analysis, and/or metadata integration and analysis.

Highly motivated individuals with interests in the field of computational biology with focus on host-microbiome interactions, immunology, fungal or bacterial microbiota are welcome to apply. The lab studies the interaction between commensal fungi and bacteria and how this interplay influence immune homeostasis, microbiota or diseases of inflammatory and neoplastic origin (Science 359 (6372): 232-6 (2018); Cell Host & Microbe 19(6):865–73; Science 336(6086):1314-7; Nat. Rev. Immunol. 14(6):405-16; Nature 491(7422):119-24)).

The successful candidate will benefit from excellent scientific and collaborative environment within the Weill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional campus, state of art research facilities, and expertise in disease modeling, pyrosequencing platforms, computational biology and access to rare gut mycobiota-centered datasets. The lab has close collaborations with other research programs in the institute investigating immunity and microbiota to translate research findings into mechanisms of human disease. The successful candidate will join a dynamic team of scientists and will have an opportunity to develop and contribute to basic science and translational research projects that are currently undergoing within the lab.

Education: Ph.D. in computational biology or related field

Experience:

  • Background in microbial ecology, cancer, IBD or biology.

Knowledge, Skills and Abilities:

  • Expertise in computational methods, tools and databases utilized in genomics / transcriptomics data analysis
  • Programming skills in R, Python, and C/C++ or equivalents and experience with high performance cluster computing queuing systems, and experience with data visualization using R and/or Python
  • Ability to analyze and interpret statistical data, and communicate results in a clear, concise manner
  • Expertise in computational methods, tools and databases utilized in genomics / transcriptomics data analysis
  • Programming skills in R, Python, and C/C++ or equivalents and experience with high performance cluster computing queuing systems, and experience with data visualization using R and/or Python
  • Ability to analyze and interpret statistical data, and communicate results in a clear, concise manner

To Apply: Please send a curriculum vitae, brief description of research accomplishments, list of publications (published and “in preparation”), and the names of three references into a single document to ili2001@med.cornell.edu, email subject title: Mycobiome fellow.

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Postdoctoral Associate in Computational Biology

Position Summary

The Elemento lab at the Englander Institute for Precision Medicine invites applications from highly motivated candidates for a postdoctoral position working on cutting-edge computational biology research.

We are looking for computational scientists to work on exciting research projects involving prostate cancer biology within the Prostate Cancer SPORE and in close collaboration with basic scientists and clinician scientists. The postdoctoral candidate is expected to exhibit resourcefulness and independence, developing new statistical models of high-dimensional data and implementing computational pipelines.

Education: Ph.D. level degree in the quantitative sciences

Knowledge, Skills and Abilities: 

  • Expertise in scientific programming, e.g. C, C++, Python, or R. Proficiency working in a Linux environment, with large data sets, computer clusters, and databases.
  • Research publications in computational biology, machine learning or physics. The ideal candidate will have experience dealing with next-gen DNA sequencing data and/or cancer biology.
  • Effective communication skills, both written and oral.

To Apply: Please send cover letter and CV to Theresa MacDonald, Email: thm2008@med.cornell.edu

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Postdoctoral Scientist to lead computational analysis of genomics, epigenomics, transcriptomics profiles focusing on hematological malignancies and patient-derived xenografts

Position Summary

We are looking for an ambitious, driven post-doctoral scientist to lead computational analysis of genomics, epigenomics, transcriptomics profiles focusing on hematological malignancies and patient-derived xenografts. The work will take place in the context of a close and productive collaboration between two laboratories at Weill Cornell Medicine and in the Meyer Cancer Center: Dr. Olivier Elemento, whose group focuses on cancer genomics, precision medicine and cancer systems biology, Dr. Giorgio Inghirami who uses patient-derived xenografts to study deregulated pathways and treatment for hematological malignancies. The group has collectively advanced the field and published hundreds of papers in the past few years in the area of genomics (Whole-exome sequencing), epigenomics (ATAC-seq and RRBS), transcriptomics (RNA-Seq) applied to problems of high biomedical relevance. The post-doctoral scientist will perform computational analyses to integrate and interpret large multi-omics genome-wide biological datasets including, generate testable hypotheses, build predictive models that will further drive experimental discovery. In addition, the candidate will develop software and methods to help characterize and share genomics, epigenomics, transcriptomic profiles of patient-derived xenografts and help characterize their sensitivity to therapeutic agents. We are looking for a highly interactive candidate, who will be integrated into the Institute of Computational Biomedicine (ICB). The ICB hosts 6 research groups and over 100 scientists, together with a petabyte scale high-performance computing infrastructure. The ICB also has a large group of talented and experienced computational biologists with a strong focus on cancer genomics on whom the post-doctoral scientist can rely on intellectual input, support, and extensive computational resources.

Applicants may want to explore the following relevant websites: Elemento Lab and Inghirami Lab.

Job Responsibilities:

  • Lead computational analysis of Whole-Exome Sequencing, RNA-Seq, ChIP-Seq, ATAC-Seq, RRBS and WGBS data generated in hematological malignancies (primary tumors, cell lines, patient-derived xenografts), generate hypotheses regarding deregulated mechanisms, potential therapeutic targets, biomarkers of drug response, design follow-up experiments
  • As needed develop novel methods and algorithms for normalization, analysis, and visualization of large multi-omics data
  • Correlate/Integrate multiple omics datasets
  • Collaborate closely with several other scientists in the PIs’ groups and elsewhere
  • Present results at joint group meetings and other outlets write manuscripts

Education: A Ph.D. in Biology, Bioinformatics or Computer Science

Experience:

  • Strong publication record with at least one strong first author paper
  • Strong background in bioinformatics with experience in analysis of next-generation sequencing data demonstrated by relevant publications.
  • An ability to program in at least one widely used language (Perl, Python, Java, C++, etc.), proficiency in statistical software packages such as R / Bioconductor, ability to create compelling graphics and use state-of-the-art data visualization methods e.g. RMarkdown, Shiny, ggplot2, D3.js

Knowledge, Skills and Abilities: 

  • Strong focus and interest on biomedically relevant problems
  • Track record of developing novel computational methodologies and publishing innovative software packages
  • Demonstrated ability to lead projects and work both independently and collaboratively
  • Excellent verbal and written communication skills demonstrated by a track record of publication, public speaking, and collaborative interactions.

To Apply: Please send cover letter, CV and contact information for at least two referees to Olivier Elemento, Ph.D. ole2001@med.cornell.edu and Giorgio Inghirami, M.D. ggi9001@med.cornell.edu

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Weill Cornell Medicine is a comprehensive academic medical center that’s committed to excellence in patient care, scientific discovery, and the education of future physicians in New York City and around the world. Our doctors and scientists-faculty from Weill Cornell Medical College, Weill Cornell Graduate School of Medical Sciences, and the Weill Cornell Physician Organization-are engaged in world-class clinical care and cutting-edge research that connect patients to the latest treatment innovations and prevention strategies.  Located in the heart of the Upper East Side’s scientific corridor, Weill Cornell Medicine’s powerful network of collaborators extends to its parent university Cornell University; to Qatar, where an international campus offers a U.S. medical degree; and to programs in Tanzania, Haiti, Brazil, Austria and Turkey. Our medical practices serve communities throughout New York City, and our faculty provide comprehensive care at NewYork-Presbyterian Hospital/Weill Cornell Medical Center, NewYork-Presbyterian/Lower Manhattan Hospital, and NewYork-Presbyterian/Queens. At Weill Cornell Medicine, we work together to treat each individual, not just their conditions or illnesses, as we strive to deliver the finest possible care for our patients – the center of everything we do. Weill Cornell Medicine is an Equal Employment Opportunity Employer. Weill Cornell Medicine provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.