Data Scientist - Corradin Lab (Relocation Assistance Available)

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

Job summary

Whitehead Institute in Cambridge, MA, is seeking a Data Scientist in the Corradin Lab to investigate human genetic and epigenetic variation linked to neurological disease. The role targets candidates with strong interests in data science, computational biology, machine learning, and functional genomics.

Responsibilities include designing computational tools for single-cell RNA-seq, multiomics, and CRISPR perturbation experiments; analyzing data and solving data integration challenges; and

Qualifications

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

Responsibilities

• Develop computational tools for analysis of large-scale biological data.
• Analyze data and address methodological challenges of data integration.
• Prioritize workflow and optimize methodologies and results.
• Develop and apply algorithms for large-scale data analysis.
• Collaborate with internal and external colleagues.
• Leverage ML and LLMs for genomics.

Skills

Python

Unix/Linux

R

Data visualization

ML concepts

Education

PhD in biology or data science

Job description

Classification:

Exempt

Job Family:

Technicians

Reports to:

Member

Job Description Summary:

The Data Scientist in the Corradin Lab at Whitehead Institute will investigate human genetic and epigenetic variation linked to neurological disease. We are recruiting candidates with a strong interest in data science/computational biology, machine learning and functional genomics.

OVERALL RESPONSIBILITIES
Utilize programming skills to design and develop computational tools for biological data analyses, including single cell RNA-seq, multiomics and CRISPR perturbation experiments. Analyze experimental data and address methodological challenges of data integration. 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 internal and external collaborators
• Leverage LLMs and machine learning for genomics
• Other duties, as assigned.

QUALIFICATIONS

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

Whitehead provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience and education/training, and internal peer equity. This pay range represents base pay only and does not include any other benefits or compensation.

• Pay Range Minimum: 85,000
• Pay Range Maximum: 100,000

Whitehead Institute is an E-Verify employer

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