Bioinformatics Scientist/Computational Biologist/Data Analyst

Job Description:
The ideal candidate should be experienced in the latest machine learning techniques for the development of novel models for drug target discovery from next generation sequencing (NGS) data. The candidate should enjoy operating in an exceptionally dynamic and cooperative environment and will communicate results to and coordinate efforts with a larger cross-disciplinary team of immunologists, biologists, engineers and bioinformaticians.

Responsibilities:

Working in bioinformatics group and collaborating with biologists with a primary focus on machine learning and cloud computing:

• The candidate is responsible for the development of automated cloud-based NGS pipelines as well as machine-learning models for the analysis of large patient datasets from both internal and public datasets, such as TCGA, GTEx and IEDB.
• She/he will be performing NGS data analysis for variant/neoantigen identification/prioritization and TCR sequence analysis.

• The ideal candidate will hold a Master's Degree or PhD in Bioinformatics, Computer Science, Statistics, Genomic Sciences, Molecular Biology, Genetics, or a related field with 2+ years of hand-on experience in machine learning, and/or bioinformatics software development and research.
• The candidate should have experience in NGS data analysis, including algorithm development.
• The candidate should be experienced in developing deep-learning models using public DL frameworks, such as TensorFlow, Keras, Theano, Caffe, Neon, or pyTorch.
• Strong background of Linux system software development and programming proficiency in R, Python, Perl and/or Java.

Preferred Qualifications:

An incumbent with experience in the following areas is a plus:

• Developing pipeline with GATK best practice;
• Feature selection and machine learning with proteomics data and sequence characteristics;
• Knowledge of key biological processes, and cancer biology is preferred.

Requeriments :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in Computer Science
• M.Sc. or higher Degree in Statistics
• Master’s Degree in Genetics

Skills :

• Bioinformatics
• Biology
• Cancer biology
• Lunix/Unix
• Machine Learning
• Next Generation Sequencing
• Programing in Python
• Programing Skills
• Programming in Java
• Programming in PERL
• Programming in R
• Software Design

Areas :

• Bioinformatics
• Computational Biology

[Click Here to Access the Original Job Post]