Data Scientist

Whitehead Institute; Cambridge (MA); On-site; USD 85,000 - 100,000; Full time

Job summary

Join the Corradin Lab at Whitehead Institute in Cambridge, MA (onsite) as a Data Scientist focused on applying machine learning and computational biology to human genetic and epigenetic variation related to neurological disease.

You will design computational tools for single cell RNA-seq, multiomics, and CRISPR perturbation data, analyze complex datasets, and translate functional genomics experiments into actionable insights. This role emphasizes collaboration and cutting-edge genomics workflows.

Qualifications

• PhD in biology or data science
• 2+ years in computer programming
• Proficiency in Python, Unix/Linux OS, and/or R
• Experience processing NGS data (preferred)
• Knowledge of statistical tests and ML algorithms
• Data visualization in Python or R

Responsibilities

• Design and build computational approaches for biological data analysis (single cell RNA-seq, multiomics, CRISPR perturbation)
• Analyze experimental data and address methodological challenges including data integration
• Prioritize and organize workflow while optimizing methodologies and results
• Develop and apply algorithms for large-scale data across projects
• Perform hypothesis testing using statistical concepts
• Apply ML methods to support diverse research questions
• Collaborate with internal and external collaborators
• Leverage LLMs and ML for genomics
• Support additional duties as assigned

Skills

Python

Unix/Linux

R

ML

Data Viz

NGS data

scRNA-seq

Multiomics

CRISPR perturbation

Education

PhD in biology or data science

Job description

Join the Corradin Lab at Whitehead Institute in Cambridge, MA (onsite), where data science supports investigations into human genetic and epigenetic variation tied to neurological disease. In this role, you will apply machine learning and computational biology to develop tools and analyze complex biological datasets, helping translate functional genomics experiments into actionable insights.

What you'll do

The Data Scientist will design and build computational approaches for biological data analysis, with a focus on experiments such as single cell RNA-seq, multiomics, and CRISPR perturbation.

• Use programming skills to create computational tools for biological data analyses, including single cell RNA-seq, multiomics, and CRISPR perturbation experiments
• Analyze experimental data and address methodological challenges, including data integration
• Prioritize and organize workflow with discretion while optimizing methodologies and results
• Develop and apply algorithms for analysis of large-scale biological data across multiple projects
• Perform hypothesis testing using statistical concepts
• Apply machine learning methods such as classification, regression, and clustering to support diverse research questions
• Optimize efficiency for NGS data analysis
• Collaborate closely with internal and external collaborators
• Leverage LLMs and machine learning for genomics
• Support additional duties, as assigned

What you bring

• PhD degree in biology or a data science-related field
• 2+ years of experience in computer programming
• Proficiency in Python, Unix/Linux OS, and/or R
• Experience processing NGS data (preferred)
• Knowledge of statistical tests and machine learning algorithms
• Data visualization experience in Python or R

Tools and focus areas

You will work with Python, Unix/Linux OS, R, and genomics workflows including single cell RNA-seq, multiomics, CRISPR perturbation experiments, and NGS data analysis, with added opportunities to apply LLMs and machine learning for genomics.

Compensation

USD 85,000 to 100,000 per year.