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Bioinformatics Scientist

Epic Sciences

Bioinformatics Scientist

San Diego, CA
Full Time
Paid
  • Responsibilities

    Job Description

    We are seeking a talented bioinformatics team member. The candidate must possess deep expertise in computational biology relevant to translational R&D and have extensive knowledge in cancer biology. The candidate will interface with scientific leaders and work collaboratively with marketing, bench scientists, genomics, clinical operations, and engineers to develop better cancer diagnostic tests for monitoring and stratifying treatment options.

    ELEMENTS:

    EDUCATION/EXPERIENCE: the position generally requires a Ph.D. in a quantitative discipline with >4 years of experience in a diagnostic environment, with strong knowledge in cancer biology. Experience in scientific writing and working with immunoassays and molecular diagnostics is strongly preferred. Experience in spearheading an operational program from research to a commercial result is strongly preferred.

    COMMUNICATION SKILL: Exceptional presentation skills, the ability to draft scientific documents suitable for publication, the ability to work effectively with both internal and external audiences to analyze, interpret, and summarize data both orally and in writing. May act as a spokesperson for Epic at external conferences.

    INTERPERSONAL SKILL: Works effectively both as an individual and part of a team; can manage relationships with external customers effectively. The ability to interface effectively with scientific leaders.

    JUDGMENT: Provides strategic insight re: problem solving by offering novel approaches and incorporating new technologies, ability to design and lead (research, analyze data, interpret results, and provide summaries of same) projects and carry them to completion against a timeline.

    EXECUTION: Highly efficient at time management and prioritization; able to help the group establish timelines to accomplish complex tasks; ability to troubleshoot problems and generate effective solutions, ability to lead a team and provide feedback as appropriate; will be a member of cross functional teams and provide counsel and guidance re: possible strategic decisions

    ESSENTIAL FUNCTIONS:

    • Develop algorithms for analysis of vast amount of studies across various data types and platforms for translational research and clinical applications.
    • Apply best practice computational methods to analyze large-scale biological data (eg. NGS data), such as gene expression, copy-number, mutation, methylation, etc. in a fast-paced translational research and product development environment.
    • Design and develop Bioinformatic pipelines to analyze single cell and cell-free genomic data, address novel analytical challenges and to automate established analysis so that studies can be analyzed in a robust manner
    • In conjunction with the hiring manager, help Guide biomarker discovery research projects to generate data that justify and/or inform the collection and analysis of clinical specimens
    • Develop and assist in documentation of novel IP related to biomarker discoveries

    ADDITIONAL DUTIES:

    May perform additional duties as assigned or directed by management from time to time.

    WORK ENVIRONMENT:

    The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    • General office environment. Daily exposure to PCs and networks.
    • The noise level in the work environment is usually moderate.

    DISCLAIMER: The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

    Epic Sciences is an Equal Opportunity Employer and committed to the principle of diversity

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  • Industry
    Biotechnology