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    Opportunity: Computational Biologist @ Medical Science & Computing -- Bethesda, MD (US)
    Submitted by Elisa Johnston; posted on Wednesday, August 17, 2016

    BACKGROUND

    Medical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.

    MSC is currently searching for a Computational Biologist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on site in Bethesda, MD.

    RESPONSIBILITIES

    The Computational Biologist will provide assistance to one or more senior investigators by analyzing genomic – transcriptomic data and by performing laboratory experiments in support of biomedical research programs and projects.

    Duties and Responsibilities:
    • Responsible for all phases of ongoing genomic – transcriptomic research projects including, but not limited to: discussions with senior investigators as to the concepts, methodologies, and overall goals, conducts searches to locate the most relevant literature pertinent to the project to identify the most applicable methods. Keeps abreast of pertinent literature, extracts relevant details, and incorporates appropriate concepts and techniques into research activities and experiments. Maintains state-of-the-art knowledge of the research throughout the life of the project, reviewing available literature on new methods and techniques for potential application within the laboratory.
    • Assumes responsibility for the planning, development, implementation, and management of research project. Makes decisions as to the time and resources required to perform experiments and establishes plans and schedules and periodically evaluates progress of experiments to ensure that they are proceeding as planned.
    • Critically analyzes results of experiments to determine whether data generated is accurate and valid. Compares results with those obtained from previous related studies to verify the validity of data. Identifies unusual or unexpected results and their probable causes and recommends re-running experiments or modifying them as necessary.
    • Maintains complete, detailed and clear records of all experiments performed. Records each experiment describing methods and procedures used and including summaries of data obtained and descriptions of any problems or unusual situations encountered in carrying out the experiment.
    • Carries out a variety of sophisticated methods for analyses of genomic – transcriptomic data, including, but not limited to: genomic, exomic and transcriptomic analyses; microarray expression; candidate gene analysis. Interprets findings and summarizes conclusions. Assists the investigator in interpretation of data and in the preparation of data in final form for publication in scientific journals.
    • Serves as a key member of the research team and ultimately as author on manuscripts reporting the results of these projects. May also present results of work at national and international conferences and meetings. Attends conferences, meetings, and lectures on subjects relevant to the research program.
    • Coordinates the training of new members of the research team when appropriate in the execution of genetic research studies. Oversees the work of students or other less experienced research team members, providing training and guidance in a range of analytical methods.
    • Maintains an up-to-date knowledge of current research and new methodological developments in the broadly defined area of research. Reviews scientific journals, abstracts, and industry reports relating to the field. Reviews available literature on new methods and techniques for potential application in the section, incorporating appropriate concepts and techniques into the research program.

    REQUIREMENTS

    • Master's degree in Bioinformatics – Computational Biologist or other related scientific discipline
    • Minimum of two (2) years of experience in the generation and analysis of genomic and transcriptomic data
    • Exemplary technical and analytical skills and foundation of biological concepts, theories, principles and practices
    • Advanced computer knowledge and experience
    • Ability to maintain accurate records of experimental results and write preliminary drafts of reports

    HOW TO APPLY

    Please send cover letter and resume to elisa[at]mscweb.com

    POLICY

    Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.

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