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Computational Biologist / Associate Computational Biologist in San Francisco, CA at APEX Systems

Date Posted: 1/11/2019

Job Snapshot

Job Description

Job #:  928593

Our client is a new startup in the therapeutics area and they are making waves. They are a highly innovative company seeking highly innovative candidates. 

Our client is looking for a computational biologist to use patient gene expression data to identify gene targets and small molecules that therapeutically reverse neurodegenerative diseases. You will take ownership of running our gene expression pipeline, including curation, analysis, interpretation, and communication of results. You will develop cutting-edge methods and pipelines that will serve as the foundation of our revolutionary drug development model.

Responsibilities:

    • You will play a central role in our novel drug screen studies as you analyze RNA-seq data from human cells and rodents treated with experimental drugs. 
    • Learning opportunities are abundant: You’ll tackle problems using a wide range of data, including transcriptomics, human genetics, epigenomics, and pharmacology.
    • Collaboration is key: You’ll work with our diverse team of software engineers, data scientists, and bioinformaticians to improve the accuracy, automation, and usability of our computational platform. You will create pipelines and spearhead our entire transcriptomics pipeline.
    • We value good communication: You will play a meaningful part in authoring pre-clinical study reports and public manuscripts.
    • You want to work at a fast-paced start-up environment.
    • Your skills can make a real impact on patients’ lives.


Requirements:

    • MS with 2+ years industry experience: or a PhD in computational biology, computer science, mathematics, statistics, or related field.
    • Demonstrated experience with analysis of gene expression data, including RNA-seq.
    • Systems biology expertise, a general knowledge of cell and molecular biology, and an understanding of the process of RNA sequencing.
    • Demonstrated fluency with both Python and R, including having written your own code for RNA-seq analysis.
    • Experience with data analysis and software engineering in Linux/Unix/OSX in a cloud-based environment (such as AWS).
    • Familiarity with team-based software engineering tools, including code repositories such as Github.
    • Excellent team communication skills and ability to collaborate across our organization.

Please send resumes to khurlbut@apexlifesciences.com

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EEO Employer

Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178