[NEU MS in Bioinformatics]
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    About Dana-Farber:
    Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

    We are looking for an experienced and versatile Software Engineer to work within the new cBio Center at Dana-Farber Cancer Institute in the area of biological data and information tools applied to basic biological research, cancer genomics and potential clinical translation.


    The Work:
    Design and develop analysis systems, data visualization and web services in support of basic and translational research projects. You will design, develop and deploy new and existing systems; work closely with researchers to obtain user requirements; propose software architecture, algorithms and project plans; and perform in-depth evaluation of data and information to solve complex problems. Stay updated on new software technologies and apply them to real life biological and clinical problems. You will engage in document planning, design, and issue resolution and plan project requirements.


    Desired Skills:
    • Strong interest in contributing to biological research with clinical applications
    • Bachelor's degree or higher in computer science or related field
    • Substantial experience in software development
    • Prior involvement or interest in bioinformatics or cancer genomics domain a plus.
    • Experience in frontend web development and at least one modern Javascript library / framework, e.g., Angular, JQuery, or D3
    • Experience in backend development, e.g., Python, Java, Spring, SQL, NoSQL
    • Interest in interaction design, e.g., material design, visualization of Big data
    • Cloud computing experience, e.g., AWS, Google Compute
    • Experience in modern software development technologies, including distributed versioning systems, continuous integration, and Agile programming practices
    • Ability to handle a variety of tasks, effectively solve problems with numerous and complex variables, and be able to shift priorities flexibly
    • Ability and desire to work collaboratively in a creative team
    • Excellent verbal and written communication skills


    Job Family: IT/Health IT/Informatics
    Full/Part Time: Full-Time
    Regular/Temporary: Regular
    Schedule: Standard Hours, Monday-Friday
    FLSA Status: Exempt


    Boston, MA, USA
    Center for Life Sciences


    Please apply directly online at[...].aspx. Click Search Job Openings and use the Job ID number to quickly locate the appropriate job listing. Once you have located the desired job, click on the checkbox in the 'Select' column, and then click the 'Apply Now' button, located at the bottom of the screen.

    DFCI Employees please apply directly through PeopleSoft Self Service. Sign on to PeopleSoft and navigate to Main Menu > DFCI Careers.

    Apply Here:

    Job ID: 28290
    Date Posted: 05/26/2016


    Equal Employment Opportunity:
    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.


    Computercraft seeks a highly motivated individual who will use his or her expertise in clinical genetics to process submissions and curate data in NCBI's ClinVar database. ClinVar is a public archive of variants and interpretations of their clinical significance:

    This is an exciting opportunity to improve resources and contribute to datasharing efforts in the medical genetics community. The successful candidate will work on-site at the National Institutes of Health, National Center for Biotechnology Information (NCBI) in Bethesda, Maryland.


    • Evaluate and process submissions to ClinVar which include data describing variants, diseases/phenotypes, interpretations, and evidence
    • Communicate with submitters to ensure accurate representation of the data
    • Collaborate with development staff
    • Educate users by contributing to public documentation and responding to user inquiries
    • Review variant and disease/phenotype data


    • Ph.D. in genetics or M.S. in genetic counseling with ABGC certification
    • 2+ years of experience with human variant interpretation in a clinical setting, either performing interpretation in a clinical testing laboratory or delivering interpretation results to patients
    • Strong logic, problem-solving, and organizational skills
    • Excellent verbal and written communication skills
    • Excellent general computers skills, including familiarity with spreadsheets
    • Ability to work both independently and as part of a team
    • Ability to adhere to established procedures
    • A detail-oriented perspective
    • A strong desire to support public scientific databases such as ClinVar


    To apply for this position or learn about other Computercraft job opportunities, please visit the Careers section of our website:

    June 20-24, 2016
    Madras Veterinary College, Chennai-600 007[...]m.pdf (PDF)

    This program is designed to gain a better understanding of NGS data analysis and its applications in drug discovery and personalized medicine.

    For more details, please contact:
    Professor and Head & Project Coordinator
    Bioinformatics Centre & ARIS Cell
    Madras Veterinary College
    Chennai-600 007
    Tamil Nadu, india,
    email.: pksamy2000[at] hodbitmvc[at]
    Ph.: 91-044-25360106 / 9444233349


    November 22-25, 2016
    iad Pc-Pool, Rosa-Luxemburg-Straße 23, Leipzig, Germany[...].html

    The purpose of this workshop is to get a deeper understanding of the use of bisulfite-treated DNA in order to analyze the epigenetic layer of DNA methylation. Advantages and disadvantages of the so-called 'bisulfite sequencing' and its implications on data analyses will be covered. The participants will be trained to understand bisulfite-treated NGS data, to detect potential problems/errors and finally to implement their own pipelines. After this course they will be able to analyze DNA methylation and create ready-to-publish graphics.

    By the end of this workshop the participants will:
    • Be familiar with the sequencing method of Illumina
    • Understand how bisulfite sequencing works
    • Be aware of the mapping problem of bisulfite-treated data
    • Understand how bisulfite-treated reads are mapped to a reference genome
    • Be familiar with common data formats and standards
    • Know relevant tools for data processing
    • Automate tasks with shell scripting to create reusable data pipelines
    • Perform basic analyses (call methylated regions, perform basic downstream analyses)
    • Plot and visualize results (ready-to-publish)
    • Be able to reuse all analyses


    • Biologists or data analysts with no or little experience in analyzing bisulfite sequencing data


    • Basic understanding of molecular biology (DNA, RNA, gene expression, PCR, ...)
    • The data analysis will partly take place on the linux command line.


    Opening Date of Registration: February 1, 2016
    Closing Date of Registration: November 1, 2016
    Workshop: November 22-25, 2016 (8 am - 5 pm)

    July 7-8, 2016
    University of District of Columbia CC, Washington, DC, USA
    CEU's approved by University of District of Columbia CC, DC


    • Biomedical researchers are now facing the onslaught of BigData.
    • NoSQL technologies are the industry standard for handling BigData.
    • Of all the NoSQL technologies, Graph based technologies are best suited to handle complex biomedical data.


    This course aims to provide hands-on training to the researchers in using graph based (NoSQL) tools and methods for storing, analyzing and visualizing biomedical BigData.


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