Scientist/Senior Scientist Computational Biology

Job Description:
We are seeking a talented and motivated computational biologist/bioinformatician with expertise in biomarker discovery to join our research team. The successful candidate will contribute to discovering and validating biomarkers that predict responsiveness to therapeutics. Demonstrated expertise in modern data analysis techniques applied to “omics” technologies is a critical component of the successful applicant. Other aspects of the role include technology innovation and implementation of analytical methodologies for the characterization of discovery-stage therapeutic candidates.

Education:

MS or PhD in Bioinformatics, Computational Biology, Computer Science, or Systems Biology with 3 - 5 years of relevant experience in an academic or industry setting (new PhD grads are encouraged to apply)

Qualifications:

• Background in developing and implementing pipelines for analyzing high-throughput “omics” datasets (such as genomics, transcriptomics or proteomics)
• Pre-clinical and/or clinical therapeutic development experience or know-how is desirable
• Track record in oncology biomarker discovery highly desirable
• Demonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large genomic datasets that contain clinical outcome data
• Previous analysis experience with short read NGS data, variant detection methods, variant annotation and QC metrics.
• Proficiency with a high-level scripting language (e.g. Python, R, Perl) required
• Experience working in linux and cloud environments (AWS preferred)
• Strong background in implementing statistical learning methods (e.g. regularized regression, PCA, logistic regression, classification techniques, clustering, etc.)
• Strong background in standard inferential statistics, including, robust techniques and survival modeling
• Prior experience working with large-scale genetics and genomics datasets (Big Data)
• Familiarity and experience with NCBI, RefSeq, Ensembl, TCGA, Cosmic, UCSC, ClinVar, DECIPHER, ENCODE, 1000 Genomes

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Requeriments :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in computational biology
• M.Sc. or higher Degree in Computer Science

Skills :

• Biomarker Discovery
• Data Mining
• Genetics
• genomic
• Lunix/Unix
• Next Generation Sequencing
• Programing in Python
• Programming in PERL
• Programming in R
• Statistics

Areas :

• Bioinformatics
• Computational Biology

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Additional Info:
Location: San Diego

Type: Permanent

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