Computational Lead Scientist – Translational Immunogenomics Lab

Job Description:
We are seeking a highly motivated and enthusiastic computational scientist to join the Translational Immunogenomics Lab (TIGL) and lead a team of bioinformatics analysts working on immune-related projects in cancer. The primary focus of the team is the analysis of data from high-throughput biological profiling technologies including DNA and RNA sequencing, both bulk and single-cell, and mass spectrometry.

Examples of projects include:

• Creation and maintenance of computational pipelines using publicly available and locally developed tools for analysis of patient data from immunotherapeutic trials.
• Computational and statistical analysis of cancer genome and transcriptome sequencing results.
• Prediction of neoantigens from genomic mutation data.
• Combined analysis of data from repositories such as the The Cancer Genome Atlas project (TCGA) and Gene Expression Omnibus (GEO) with data generated in-house for generation of novel biological insights.
• Creation of pipelines for interpreting data from single-cell RNA-Seq experiments.
• Packaging of tools for sharing with collaborators and the scientific community.
• The candidate is expected to work with experimental scientists to develop the overall scientific strategy for TIGL, including novel approaches.

Qualifications

Education and Experience:

• Ph.D. in bioinformatics, computational biology, computer science, mathematics, physics, or related discipline (or equivalent research/industrial experience) with 5+ years post-degree experience.

• Ability to lead and manage a project team to accomplish a complex set of goals.
• Ability to apply statistical and machine learning techniques to solve “big data” problems.
• Experience developing algorithms and proficiency in coding (C/C++, Perl, Python, JAVA, Scala, or equivalent).
• Significant experience in data analysis languages/environments (R, MATLAB, or equivalent).
• Ability to synthesize information from other disciplines to achieve broad-based goals.
• Familiarity with best developmental practices for delivering working, tested software from a team of computational scientists.
• Must have excellent communication skills (written and verbal) and be able to work with a wide variety of faculty and staff in a highly collaborative and intellectually challenging environment.

Requeriments :

• Doctorate Degree

Skills :

• DNA sequencing
• Machine Learning
• Programing in C
• Programing in C++
• Programing in Python
• Programming in Java
• Programming in Matlab
• Programming in PERL
• Programming in R
• RNA-seq
• Statistics

Areas :

• Bioinformatics

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