Job Description

Postdoctoral position collaborating with Corradin Lab at MIT and Biogen to investigate genetic risk loci linked with multiple sclerosis. We are recruiting candidates with a strong interest in data science/computational biology and functional genomics. Options for a pure computational postdoc, or hybrid computational and experimental role are available.

 

Overall responsibility

Utilize programming skills to design and develop computational tools for biological data analyses, including single cell RNA-seq and CRISPR perturbation experiments. Analyze experimental data and address methodological problems in results. Use discretion in prioritizing and organizing workflow and in optimizing methodologies and results.

 

Characteristic duties

• Develop and apply algorithms for analysis of large-scale biological data related to various projects

• Hypothesis testing using statistical concepts

• Utilize algorithms such as classification, regression and clustering to answer diverse research questions

• Optimize efficiency of NGS data analysis

• Work closely with both academic and industry collaborators

• Participate in design and execution of in vitro experiments

 

Requirements

• Doctoral degree in biology or data science related field

• Must have 2+ years of experience in computer programming.

• Proficiency in Python, Unix/Linux OS and/or R

• Experience in processing NGS data (preferred)

• Experience in cell culture (preferred)

• Knowledge of statistical tests and machine learning algorithms

• Data visualization in Python or R

• Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.

• Ability to work with team members in a diverse collaborative setting.