Data Scientist - Corradin Lab (Relocation Assistance Available)

WIBR Whitehead Institute for Biomedical Research; United States; On-site; USD 85,000 - 100,000; Full time

Job summary

Whitehead Institute's Corradin Lab is seeking a Data Scientist to investigate human genetic and epigenetic variation linked to neurological disease. The role focuses on data science, computational biology, machine learning and functional genomics to drive impactful research.

Responsibilities include designing computational tools for analyses like single-cell RNA-seq and CRISPR perturbations, while collaborating with internal and external partners to advance projects across large-scale genomic

Qualifications

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

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.

Skills

Data science

Machine learning

Statistics

Data visualization

Education

PhD in biology

Tools

Python

R

Unix/Linux

NGS data processing

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

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