Laboratory Corporation of America Computational Biologist / Bioinformatics Data Scientist - Sequenom in San Diego, California

Sequenom, a wholly-owned subsidiary of Laboratory Corporation of America Holdings (LabCorp), is a CAP accredited and CLIA-certified molecular diagnostics laboratory, dedicated to the development and commercialization of laboratory-developed tests (LDTs) for prenatal conditions, cancer, and other diseases. At Sequenom, we foster innovation in molecular diagnostics, and we have a guiding vision in enabling healthier lives through the development of our products and services. Join the Bioinformatics team and take part in expanding the extremities of clinical diagnostics!

The Bioinformatics Data Scientist positon requires combining an understanding of biological sciences with computational techniques in statistics and mathematics to contribute to solving unmet critical diagnostic needs. Nimble analytic skills, independent motivation, excellent communication, and a team-oriented focus are critical to thrive in this dynamic environment. We are seeking a creative and collaborative computational Biologist to evaluate, develop, and apply statistical inference and machine learning algorithms to promote cancer diagnosis from a blood draw. Expertise in machine learning algorithms and data mining is a must. The ideal candidate must also have previous experience working in an industry setting.

Responsibilities:

  • Perform machine learning, and statistical analysis methods, such as classification, time-series analysis, statistical inference, and validation methods

  • Apply best practice statistical/computational methods to analyze large-scale biological data, such as gene expression, copy-number, mutation, next-generation sequencing.

  • Develop algorithms for analysis of studies across various next generation sequencing data types and platforms for clinical applications

Requirements

Required Qualifications:

  • PhD in Bioinformatics, Computational biology, applied Computer Science, Mathematics or Statistics required

  • Minimum 2+ years of relevant experience in an industry setting required

  • Expertise in data mining, information retrieval and machine learning algorithms required

  • Experience with Next Generation Sequencing (NGS) and analysis tools required

  • Excellent understanding of computer science fundamentals and algorithms

  • Comfortable working with command line tools in a Linux shell environment and LSF

  • Expertise in R, Perl or Python

  • Ability to breakdown and clearly define problems

  • Must be a detail-oriented self-starter who can organize workloads

Shift

1

Schedule

1st Shift-Monday-Friday

As an EOE/AA employer, the organization will not discriminate in its employment practices due to an applicant's race, color, religion, sex, national origin, sexual orientation, gender identity, disability or veteran status.