Data Scientist - Corradin Lab
Whitehead Institute
About the role
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
https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf
https://www.e-verify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf
Responsibilities
- Develop and apply algorithms to analyze large-scale biological data.
- Analyze experimental data and address data integration challenges.
- Apply statistical testing, classification, regression, and clustering to research questions.
- Optimize next-generation sequencing data analysis.
- Collaborate with internal and external researchers.
- Use machine learning and large language models for genomics.
Qualifications
- PhD in biology or a data science-related field.
- At least 2 years of computer programming experience.
- Proficiency in Python, Unix/Linux, and/or R.
- Knowledge of statistical tests and machine learning algorithms.
- Experience processing NGS data preferred.
- Experience with data visualization in Python or R.
Benefits
- Relocation assistance available.
Skills mentioned
About Whitehead Institute
Whitehead Institute for Biomedical Research is a leading, nonprofit research and educational institution that has defined the cutting edge of biomedical science, creating a legacy of research excellence and academic eminence since 1982. Wholly independent in its governance, finances and research programs, Whitehead shares a teaching affiliation with Massachusetts Institute of Technology, offering the intellectual, collegial and scientific benefits of a leading research university. Whitehead provides scientists with the resources and freedom to follow their scientific instincts, form novel collaborations and conduct high-risk research. While probing basic biological processes, 14 faculty Members and 6 Fellows develop innovative technologies and lay the foundation for projects that improve human health. They run pioneering programs in cancer research, immunology, developmental biology, stem cell research, regenerative medicine, genetics and genomics—programs with a record of success.