14 days old

Research Assistant IV

Dartmouth College
Hanover, NH 03755
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  • Job Code
    107615147


Dartmouth College



Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity. In that spirit, we are particularly interested in receiving applications from a broad spectrum of people, including women, minorities, individuals with disabilities, veterans or any other legally protected group.

Position Information

Position Title
Research Assistant IV

Department
NCCC

Position Number
1010111

Advertisement Text

Research Assistant IV Position in Computational Oncology and Bioinformatics
We are searching for a highly motivated and experienced Research Assistant to work on Bioinformatics and Computational Oncology at the Norris Cotton Cancer Center in the Geisel School of Medicine of Dartmouth. The position involves developing computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA-seq data, to investigate the how immune environment shapes the evolution of cancer genomes.

Required Qualifications:

  • Bachelor's degree in Computational Biology or Bioinformatics, or a related field (e.g. statistics, computer science or quantitative biology)
  • Experience in Next-Generation Sequencing data analysis
  • Experience in the application and development of statistical methods or machine learning algorithms
  • Good computer programming skills in R/Matlab/Perl/Python/

Desirable Qualifications:

  • Master's Degree n Computational Biology or Bioinformatics, or a related field (e.g. statistics, computer science or quantitative biology)
  • Knowledge and experience in cancer biology, immunology and cancer genomics

To apply, please complete Dartmouth's online application at https://searchjobs.dartmouth.edu and
attach your cover letter, CV and three letters of recommendation.

Note that this position may be partially or wholly grant funded in future.



Position Purpose

To work on Bioinformatics and Computational Oncology at the Norris Cotton Cancer Center in the Geisel School of Medicine of Dartmouth. The position involves developing computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA-seq data, to investigate the how immune environment shapes the evolution of cancer genomes



SEIU Level
Not an SEIU Position

FLSA
Exempt

Employment Category
Regular Full Time w/end date

Department Contact for Cover Letter
Steven Leach, MD / Surajit Dhara, PhD

Special Instructions to Applicants

Monday-Friday
8 am - 5 pm (1 hour lunch) with flexibility in schedule to meet the demands of the laboratory and research in progress. Some weekends or nights may be required to meet deadlines.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

This position is a 24-month term position.



Key Accountabilities

Key Accountabilities

Computational Oncology/Bioinformatics Research/Experiments

  • Collaborates with the principal investigator in the definition of the research problem.
  • Independently designs/develops and implements new or modified computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA -seq data, to meet research requirements..
  • Ensures adherence to computational oncology/bioinformatics research requirements.
  • Identifies, troubleshoots, corrects or recommends solutions to computational oncology/bioinformatics problems associated with experimental design; methods, procedures or techniques.
  • Collects, analyzes, and interprets data resulting from experimentation to present findings with tentative conclusions to the principal investigator.
  • Prepares and makes oral presentations of research findings and their significance in various settings, such as departmental/laboratory staff meetings, conferences, and meetings of professional societies.
  • Prepares drafts of reports, summaries, and manuscripts to communicate results and implications of the research.
  • Recommends directions in which research should progress.

Laboratory/Shared Resource Service Management

  • Oversees the day-to-day management of the principal investigator's laboratory/service to ensure proper use, maintenance, and availability of equipment and supplies.
  • Instructs others in computational oncology/bioinformatics methods, procedures, and techniques and provides technical guidance and direction as required.
  • Advises on the need for and type of equipment/software/hardware or other research purchases; locates manufacturers and suppliers.
  • Communicates respectfully with a diverse community.

Staff Development

  • Hires, supervises, trains, and evaluates staff and student assistants to meet changing department needs.
-- Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. -- Performs other duties as assigned. <br/><br/><b>Dartmouth College</b><br/><br/><br/><br/>Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity. In that spirit, we are particularly interested in receiving applications from a broad spectrum of people, including women, minorities, individuals with disabilities, veterans or any other legally protected group.<br/><br/><b>Position Information</b><br/><br/><b>Position Title</b><br/>Research Assistant IV<br/><br/><b>Department</b><br/>NCCC<br/><br/><b>Position Number</b><br/>1010111<br/><br/><b>Advertisement Text</b><br/><p>Research Assistant IV Position in Computational Oncology and Bioinformatics <br> We are searching for a highly motivated and experienced Research Assistant to work on Bioinformatics and Computational Oncology at the Norris Cotton Cancer Center in the Geisel School of Medicine of Dartmouth. The position involves developing computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA-seq data, to investigate the how immune environment shapes the evolution of cancer genomes.</p> <p>Required Qualifications:</p> <ul> <li>Bachelor's degree in Computational Biology or Bioinformatics, or a related field (e.g. statistics, computer science or quantitative biology)</li> <li>Experience in Next-Generation Sequencing data analysis</li> <li>Experience in the application and development of statistical methods or machine learning algorithms</li> <li>Good computer programming skills in R/Matlab/Perl/Python/</li> </ul> <p>Desirable Qualifications:</p> <ul> <li>Master's Degree n Computational Biology or Bioinformatics, or a related field (e.g. statistics, computer science or quantitative biology)</li> <li>Knowledge and experience in cancer biology, immunology and cancer genomics</li> </ul> <p>To apply, please complete Dartmouth's online application at https://searchjobs.dartmouth.edu and <br> attach your cover letter, CV and three letters of recommendation.</p> <p>Note that this position may be partially or wholly grant funded in future.</p><br/><br/><b>Position Purpose</b><br/><p>To work on Bioinformatics and Computational Oncology at the Norris Cotton Cancer Center in the Geisel School of Medicine of Dartmouth. The position involves developing computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA-seq data, to investigate the how immune environment shapes the evolution of cancer genomes</p><br/><br/><b>SEIU Level</b><br/>Not an SEIU Position<br/><br/><b>FLSA</b><br/>Exempt<br/><br/><b>Employment Category</b><br/>Regular Full Time w/end date<br/><br/><b>Department Contact for Cover Letter</b><br/>Steven Leach, MD / Surajit Dhara, PhD<br/><br/><b>Special Instructions to Applicants</b><br/><p>Monday-Friday<br /> 8 am - 5 pm (1 hour lunch) with flexibility in schedule to meet the demands of the laboratory and research in progress. Some weekends or nights may be required to meet deadlines.</p> <p>Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.</p> <p>This position is a 24-month term position.</p><br/><br/><b>Key Accountabilities</b><br/><p></p> <tr> <th>Key Accountabilities</th> <td><p>Computational Oncology/Bioinformatics Research/Experiments</p> <ul> <li>Collaborates with the principal investigator in the definition of the research problem.</li> <li>Independently designs/develops and implements new or modified computational methods and pipelines to mine cancer genomics data, including whole-exome and RNA -seq data, to meet research requirements..</li> <li>Ensures adherence to computational oncology/bioinformatics research requirements.</li> <li>Identifies, troubleshoots, corrects or recommends solutions to computational oncology/bioinformatics problems associated with experimental design; methods, procedures or techniques.</li> <li>Collects, analyzes, and interprets data resulting from experimentation to present findings with tentative conclusions to the principal investigator.</li> <li>Prepares and makes oral presentations of research findings and their significance in various settings, such as departmental/laboratory staff meetings, conferences, and meetings of professional societies.</li> <li>Prepares drafts of reports, summaries, and manuscripts to communicate results and implications of the research.</li> <li>Recommends directions in which research should progress.</li> </ul> <p>Laboratory/Shared Resource Service Management</p> <ul> <li>Oversees the day-to-day management of the principal investigator's laboratory/service to ensure proper use, maintenance, and availability of equipment and supplies.</li> <li>Instructs others in computational oncology/bioinformatics methods, procedures, and techniques and provides technical guidance and direction as required.</li> <li>Advises on the need for and type of equipment/software/hardware or other research purchases; locates manufacturers and suppliers.</li> <li>Communicates respectfully with a diverse community.</li> </ul> <p>Staff Development</p> <ul> <li>Hires, supervises, trains, and evaluates staff and student assistants to meet changing department needs.</li> </ul></td> </tr> <tr> <th>--</th> <td>Demonstrates a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.</td> </tr> <tr> <th>--</th> <td>Performs other duties as assigned.</td> </tr> <img src="https://analytics.click2apply.net/v/PmwP8wcZoYYJSMNmTgrqd">
Posted: 2019-02-09 Expires: 2019-04-12

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Research Assistant IV

Dartmouth College
Hanover, NH 03755

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