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BACKGROUND

Serimmune, an early-stage start-up backed by Illumina Ventures and Merck is applying a unique immune repertoire characterization platform to map human immunity. We are seeking a Bioinformatics Data Scientist, versed in the application of machine learning and data mining approaches to large datasets in the life sciences. This individual will play a leading role in the company's efforts to apply machine learning, data mining, and high performance computing to reveal unique insights from the company's proprietary database of thousands of immune profiles. This individual will have the opportunity to work on projects that make a meaningful impact on human health, including the identification of biomarkers of disease (cancer, autoimmunity, infection), prediction of response to therapy, and characterization of human immunity.

RESPONSIBILITIES

Tasks and Responsibilities:

Analyze assay data to develop robust methods for quality control and data analysis.
Design and apply computational methods, software, and statistics to analyze and mine data to generate actionable insights.
Develop and code algorithms and applications to interrogate large peptide sequence datasets.
Design schema for large sequence repositories and work closely with scientists to design experiments and computational/data mining methods.
Interpret and communicate insights and findings to research and development colleagues and strategic partners.

REQUIREMENTS

Minimum Qualifications (Must have):

Ph.D. or M.S. degree in Computer Science, Bioinformatics, computational biology, molecular biology, genomics or related scientific field (or equivalent experience and depth)
Minimum 1 year post-graduate or industry experience in technology / life science environments
Experience with next-generation sequencing (NGS), proteomic, genomic, or transcriptomic data analysis
Solid knowledge of languages such as Python, Java, and/or C++, and high programming proficiency in a Unix/Linux environment
Experience applying statistical approaches to analyze NGS / proteome / genome data interpretation
Ability to understand subtleties of different analytical methods and impacts on data generation and interpretation
Knowledge of external sequence databases and resources
Excellent oral and written communication skills

PREFERENCES

Preferred Qualifications:

Experience in the development of clinical (LDT/IVD) assays
Experience with high performance computing and cloud computing
Experience with structure-based computational tools and methods

WORKING CONDITIONS

Office environment (Santa Barbara, CA or bay area)
Prolonged periods of sitting, standing
Must be able to lift and transport at least 25 pounds
Ability to travel

HOW TO APPLY

Please apply by emailing your CV and cover letter to cherise[at]serimmune.com.

POLICY

Serimmune, Inc. is an equal opportunity employer

DISCLAIMER: The information on this description has been designed to indicate the general nature and level of work. It is not designed to be interpreted as a comprehensive inventory of all duties and responsibilities of an employee to this job.

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