PRINCIPAL COMPUTATIONAL RESEARCHER

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Department of Cell and Tissue Genomics (CTG) is seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data. The candidate will closely collaborate with members of the department to extract biological insights from diverse high dimensional data sets, leveraging existing computational workflows and developing novel ones. The successful candidate will work in a highly collaborative team with colleagues in the bioinformatics and AI & Machine Learning departments and across the therapeutic areas.

Responsibilities

• Managing, curating, pre-processing, and performing quality control of next-generation sequencing data, involving novel and state-of-the-art acquisition technologies such as spatial transcriptomics and high-content perturbation screens
• Using applied statistics and machine learning to investigate data and extract insights
• Presenting analyses to cross-functional project teams

QUALIFICATIONS

• PhD in computational biology, bioinformatics, computer science, statistics, or a related field. Postdoctoral training is a plus.
• Strong publication record of biological discovery and/or methods development.
• Experience working with single-cell genomics data
• Excellent communication and presentation skills.
• Fluent in R and/or Python. Demonstrated experience using packages relevant for statistical analysis of single-cell data such as Seurat or Scanpy. Knowledge of machine learning frameworks such as PyTorch is a plus.
• Comfortable with modern Linux and HPC environments, tools for data analysis, visualization, statistics, and version control tools such as Git.
• Able to work successfully in cross-functional teams to collaboratively solve complex problems.
• Passionate about applying your analytical skills to understand health and disease.