Mid-Senior level
Posted April 4, 2026
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Responsibilities
Responsibilities
- In this role, you’ll apply published and internal methods for the integrative modeling of data from diverse genome-wide, often sequencing-based, assays for the purposes of therapeutic hypothesis generation and evaluation.
- Perform diverse modeling tasks, typically with sequencing data or data matrices with
- sequencing counts as input
- Support visualization of data from complex biological assays
- Have accountability for delivering objectives through effective collaboration within the
- Genomics and Integrative Biology team
- Communicate effectively within team, including progress, issues, timelines and impact Minimum Experience/Skills Required
- +4 years of experience in command-line environment and shell scripting
- +4 years of experience coding in Python
Not Met Priorities
What still needs stronger evidence
Requirements
- Genomics and Integrative Biology team
- Communicate effectively within team, including progress, issues, timelines and impact Minimum Experience/Skills Required
- +4 years of experience in command-line environment and shell scripting
- +4 years of experience coding in Python
- Coursework in parametric statistics
- computational experience
- Demonstrated experience in sequence biology and high-throughput sequencing data
- Track record working with scientific or complex structured data
- Experience with Jupyter notebooks or R markdown, Docker, and both Python and R
- Lab experience in or coursework in molecular or cellular biology or genetics
- Familiarity with bioinformatics workflows or laboratory data systems
Preferred Skills
- +4 years of experience in command-line environment and shell scripting
- +4 years of experience coding in Python
- Coursework in parametric statistics
- Demonstrated experience in sequence biology and high-throughput sequencing data
- Experience with git Preferred Experience/Skills
- Track record working with scientific or complex structured data
- Experience with Jupyter notebooks or R markdown, Docker, and both Python and R
- Lab experience in or coursework in molecular or cellular biology or genetics
- Familiarity with bioinformatics workflows or laboratory data systems
Education
- (Not required) – Coursework in parametric statistics
- (Not required) – M.S. degree in bioinformatics or other mathematical or scientific field with evidence of strong
**Contract position** Job summary The Genomics and Integrative Biology team consists of data scientists and biologists collaborating in the development and application of genomic technologies for early drug discovery. In this role, you’ll apply published and internal methods for the integrative modeling of data from diverse genome-wide, often sequencing-based, assays for the purposes of therapeutic hypothesis generation and evaluation. Major Accountabilities/Responsibilities
Perform diverse modeling tasks, typically with sequencing data or data matrices with
sequencing counts as input
Support visualization of data from complex biological assays
Have accountability for delivering objectives through effective collaboration within the
Genomics and Integrative Biology team
Communicate effectively within team, including progress, issues, timelines and impact Minimum Experience/Skills Required
+4 years of experience in command-line environment and shell scripting
+4 years of experience coding in Python
Coursework in parametric statistics
M.S. degree in bioinformatics or other mathematical or scientific field with evidence of strong
computational experience
Demonstrated experience in sequence biology and high-throughput sequencing data
Experience with git Preferred Experience/Skills
Track record working with scientific or complex structured data
Experience with Jupyter notebooks or R markdown, Docker, and both Python and R
Lab experience in or coursework in molecular or cellular biology or genetics
Familiarity with bioinformatics workflows or laboratory data systems
Perform diverse modeling tasks, typically with sequencing data or data matrices with
sequencing counts as input
Support visualization of data from complex biological assays
Have accountability for delivering objectives through effective collaboration within the
Genomics and Integrative Biology team
Communicate effectively within team, including progress, issues, timelines and impact Minimum Experience/Skills Required
+4 years of experience in command-line environment and shell scripting
+4 years of experience coding in Python
Coursework in parametric statistics
M.S. degree in bioinformatics or other mathematical or scientific field with evidence of strong
computational experience
Demonstrated experience in sequence biology and high-throughput sequencing data
Experience with git Preferred Experience/Skills
Track record working with scientific or complex structured data
Experience with Jupyter notebooks or R markdown, Docker, and both Python and R
Lab experience in or coursework in molecular or cellular biology or genetics
Familiarity with bioinformatics workflows or laboratory data systems