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    Opportunity: Post-Doctoral Bioinformatics, Department of Pathology (#00101267) @ University of North Dakota School of Medicine and Health Sciences -- Grand Forks, ND (US)
    Submitted by Sandeep; posted on Friday, February 21, 2020

    BACKGROUND

    A postdoctoral fellow position is currently available in the Singhal lab at School of Medicine and Health Sciences (SMHS), Department of Pathology, University of North Dakota (UND). Dr. Singhal's lab is integrating data from multi-omics platforms and formerly disparate sources into a unified network view of human health using statistical and machine learning approach to reveal precise, personalized insights. His areas of expertise include data mining, statistical modeling, and artificial intelligence with strong background in personalize medicine and cancer genomics. For more information about his research, please see his publications link:https://scholar.google.com/citations?user=NY5nrrYAAAAJ&hl=en.

    JOB SUMMARY & RESPONSIBILITIES

    • Manage ongoing research requiring multi-omics data analysis in the Department of Pathology at the University of North Dakota School of Medicine and Health Sciences.
    • Provide comprehensive research activities such as the design and implementation of computational methods with advanced artificial inelegance and statistical analysis approach.
    • Direct computational analysis and development of algorithms to support research and development projects with collaborate investigators and others to bring issues to appropriate resolution
    • Setup infrastructure, develop pipelines and deploy tools for bioinformatics analysis
    • Prepare and present data and results
    • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator
    • Develops new ideas, tools and algorithms that promote current research

    REQUIREMENTS

    Minimum Requirements:
    • PhD in genetics, Computational Biology/Bioinformatics, computer science or related field
    • Extensive experience in conducting human genetics research and analyzing large genetic datasets, next generation sequencing
    • Demonstrated desire to apply for external fellowship funding
    • 2 years of experience in analyzing all kind of next-generation sequencing pipeline development
    • Experience in the application of machine learning to biological data
    Preferred Requirements:
    • Expert with Perl, Python/R/Bash scripting (Java/C++ plus)
    • Experience with SQL, NoSQL, Linux and AWS tools
    • Demonstrated proficiency in database management
    • Proficiency in statistical methods and analysis
    • Documented skills in genome informatics, such as sequence processing, de novo and reference guided assembly, read mapping, gene annotation and discovery, and/or processing multi-omics datasets
    • Extensive research experience/productivity with a solid publication record
    • Excellent interpersonal, writing and problem-solving skills
    • Demonstrated ability to successfully communicate scientific information

    LOCALE

    Too find out why living and working in Greater Grand Forks is way cooler, check out www.GrandForksisCooler.com.

    COMPENSATION

    Remuneration/Salary: $45,000+

    Benefits: Includes single or family health care coverage (premiums paid for by the university), basic life insurance, EAP, retirement plan, and tuition waiver. Optional benefits available: supplemental life, dental, vision, flexible spending account, supplemental retirement plans.

    HOW TO APPLY

    For more information or to apply visit: campus.und.edu/huma[...]ow%3A

    Review of applications will begin on February 6, 2020. Position is open until filled. Applicants MUST submit a cover letter, current curriculum vitae and three references on-line.

    POLICY

    All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

    Confidentiality of Application Materials:
    Note: Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three finalists who will be invited to campus.

    EEO Statement:
    UND is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Women, minorities, veterans and individuals with disabilities are encouraged to apply. Applicants will be invited to provide information regarding their gender, race and/or ethnicity, veteran's status and disability status during the application process. This information will remain confidential and separate from your application.

    ND Veteran's Preference:
    North Dakota Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a DD-214 and if claiming disabled status, a current letter of disability from the VA dated within the last 12 months.

    Clery Statement:
    In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university's policies, procedures, and programs concerning safety and security, as well as three years' of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at und.edu/disc[...]t.pdf. You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND 58202.

    This position is subject to a criminal history record check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.

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