The Englander Institute for Precision Medicine at Weill Cornell Medicine is a translational research hub to promote molecular diagnostics and therapeutics.  Physician-scientists utilize the most advanced genomic sequencing technologies and novel computational algorithms to identify the genetic alterations that give rise to and drive each patient’s illness.   

The Englander Institute for Precision Medicine in New York City is an outstanding place to begin or grow your career. The Institute is located on the Upper East Side of Manhattan, along the East River.  We offer a highly competitive compensation package including excellent benefits.  Be sure to check out our featured spotlights here for employee profiles!

Academic

The EIPM is seeking highly motivated postdoctoral candidates with strong expertise to lead challenging and innovative research.

Research Pathology Fellowship in Precision Medicine

Position Summary:

The Englander Institute for Precision Medicine and the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine offer a two-year Research Pathology Fellowship in Precision Medicine. With a major exposure to a comprehensive translational research component, this program will focus on the application of next-generation sequencing platforms to identify and validate novel alterations in an array of tumor types.

 

The goal of this Research Pathology Fellowship program is to gain expertise in the application of state-of-the-art sequencing technologies, familiarize with novel tools to analyze next-generation sequencing data, and to become leaders in the field of Precision Medicine. The Research 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 and pre-clinical models in high impact research studies.

 

Responsibilities:

  • To review histopathology of research projects.
  • 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 research assays.
  • To participate in research 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.
  • Salaries are commensurate with the level of training.

 

Qualifications:

Pathologists and pathology trainees will be considered. Prior experience in molecular biology/molecular pathology is encouraged.

 

Applications:

Applications: Please send Curriculum vitae, personal statement and two letters of recommendation to EIPMadmin@med.cornell.edu

Postdoctoral Fellow, Cancer Biology

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, and strong 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.

 

 

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

 

Qualifications:

  • PhD in biological sciences, biochemistry or related field
  • 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
  • Strong communication skills and an ability to interact well with others
  • Detail-oriented

 

Applications:

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

Postdoctoral Fellow, Computational Biology

Position Summary:

The Englander Institute for Precision Medicine at Weill Cornell Medicine is seeking a highly motivated Postdoctoral fellow or Associate Research Scientist with strong expertise in bioinformatics to lead genetic analysis in human disease studies. The candidate will apply state-of-the-art computational methods to analyze large-scale sequencing data, including whole genome sequencing, interpret genetic variants, and identify novel human disease genes. The candidate will lead one or two of the major human genetics projects in the lab, focused on the following disease areas: cardiovascular, metabolic disease, neurodegenerative disorders, or cancer.

 

Responsibilities:

  • Lead bioinformatics projects to translate NGS data, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to novel discoveries on a path to clinical utility.
  • Publish and present novel findings in academic journals and conferences.
  • D. with a background in cancer biology, bioinformatics or computational biology, or related fields.
  • For bioinformatics postdoctoral and research analyst positions, experience in statistical and programming languages (e.g., R, Python, Perl), experience in computational biology applications (e.g. bwa, samtools, GATK, etc.), and next-generation sequencing are required. The position offers opportunities for close collaboration with the world-class bioinformatics team at the Englander Institute for Precision Medicine.
  • High proficiency of Unix/Linux systems and code versioning tools.
  • Experience with code development, optimization, automation, and testing, using common version control solutions e.g. git.
  • Basic knowledge of molecular biology and genomics.
  • Knowledge of containerization platforms (e.g. Docker, Singularity).
  • Evidence of productivity from publications originating from Ph.D. or postdoctoral work.
  • The position requires the ability to work with a heterogenous group of basic scientists, molecular biologists, physician scientists, computational biologist, data scientists, lab technicians, medical and graduate students. Hence, it requires excellent verbal and written communication skills.
  • Excellent organizational skills, self-motivation, and creativity.

 

Qualifications:

  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Extensive knowledge of using high-performance computing clusters, including common scheduling systems (e.g. OGE, slurm, etc.)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS
  • Knowledge of workflow languages, e.g. CWL, Nextflow or equivalent is a plus.
  • Knowledge of agile software development preferred.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.

 

Applications:

Motivated to pursue postdoctoral training required for a future independent academic career. Candidates who meet the above criteria are encouraged to apply. Please email CV, statement of research interests, copies of previous publications, and the names and contact information for three references to Ryan Smith at rcs4001@med.cornell.edu.

 

Postdoctoral Fellow, Computational Biology, Elemento and Inghirami Labs

Position Summary:

This position will lead computational analysis of genomics, epigenomics, transcriptomics profiles focusing on hematological malignancies and patient-derived xenografts. 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.

 

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

 

Qualifications:

  • PhD in Biology, Bioinformatics or Computer Science
  • 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
  • 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.

 

Applications:

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

Postdoctoral Fellow, Computational Biology, Iliev Lab

Position Summary:

Computational postdoctoral and research assistant positions in host-mycobiota interactions in diseases with intestinal component is available at Weill Cornell Medicine, NYC https://ilievlab.weill.cornell.edu/ .The laboratory of Dr. Iliyan D. Iliev is looking for a recent Ph.D.  graduate with a strong background and expertise in computational biology and broad interests in one of the following fields:  immunology, cancer, microbiome, fungal genetics, inflammatory bowel disease, respiratory diseases, early life immune & microbiota development. The lab studies the interaction between commensal fungi and host immunity and how this interplay influences immune homeostasis, microbiota or human diseases with intestinal component (Cell, in press; Cell Host Microbe. 2020 doi: 10.1016/j.chom.2020.12.00; Cell Host & Microbe 27(5):823-829 (2020); Cell 183(2):411-428 (2020); Science 359 (6372): 232(2018); Science 365(6452): eaaw4361(2019), Cell Host & Microbe 24(6) 847-56 (2018); Nature 491(7422):119-24; Science 336(6086):1314-7; Cell Host & Microbe 19(6):865–73; Nat. Rev. Immunol. 14(6):405-16).

 

Responsibilities:

Specific projects will be discussed with potential applicants depending on their interests and specific expertise. Projects are centered around several main themes (not in specific order) with focus on fungal microbiota, immunity and human disease:  computational mycobiome-centered tools development; mycobiome- centered human disease datasets integration and analysis ( several diseases with proven or suspected fungal component) ; innate and antibody-mediated immunity; early life immune development and disease predisposition; fungal genetics; diseases of inflammatory origin: IBD and allergic airway disease; gut-mediated systemic immunity with focus on gut-lung & gut-brain axis.

 

We provide excellent scientific and collaborative environment within our interdisciplinary laboratory https://ilievlab.weill.cornell.edu/, the Jill Roberts Institute for research in IBD and Weill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional campus, state of art research facilities, extensive disease cohorts, expertise in disease modeling, computational biology and access to rare gut mycobiota-centered human datasets. The lab has close collaborations with other research programs nationally and internationally, investigating immunity and microbiota to translate research findings into mechanisms of human disease.

 

Qualifications:

Ph.D. in a field related to computational biology or a related field. Experience with high performance cluster computing systems, handling large datasets, quantitative background or expertise in tool development is a plus but not required. R and/or Python, some level of programming skills C/C++ , Python or equivalent is a plus. Some experimental background and understanding of current sequencing platforms or some level of assay development understanding is a plus.

 

Applications:

Applicants are encouraged to submit 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 iri9005@med.cornell.edu

 

Postdoctoral Fellow, Molecular Aging Initiative

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.

 

Responsibilities:

The work will be performed under the supervision of Dr. Pinkal Desai. 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.

 

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.

 

Qualifications:

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.

  • MD and/or PhD in biological sciences, biochemistry or related field is required.
  • Minimum 2 years laboratory experience
  • Knowledge, Skills and Abilities:
  • Strong communication skills and an ability to interact well with others
  • Detail-oriented

 

Applications:

Please send Curriculum vitae, personal statement and two letters of recommendation to EIPMadmin@med.cornell.edu

Bioinformatics

Our faculty and staff are distinguished scientists who specialize in designing computational methods for extracting insights from next-generation sequencing data.

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.

 

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.

 

Qualifications:

  • Bachelor’s Degree in related field
  • 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.
  • 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.

 

Applications:

Applications: Please send Curriculum vitae, personal statement and two letters of recommendation to EIPMadmin@med.cornell.edu

Bioinformatics Analyst

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.

 

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

 

Qualifications:

  • 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.)
  • 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

 

Applications:

Applications: Please send Curriculum vitae, personal statement and two letters of recommendation to EIPMadmin@med.cornell.edu

Sequencing and Technology Innovation

As pioneers in the field of precision medicine, the EIPM is continuously working to accelerate discoveries and drive innovation.

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.

 

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.

 

Qualifications:

  • 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.
  • 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.

 

Applications:

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

Research Specialist, High Throughput Drug Screening (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.

 

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.

 

Qualifications:

  • Education: Bachelor’s Degree.
  • 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).
  • 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.

 

Applications:

Please send a cover letter and resume to Dr. Laura Martin: mlm4001@med.cornell.edu

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.

 

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.

 

Qualifications:

  • 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

 

Applications: Click to apply.