Base: $61,800.00 - $115,100.00; bonus/equity: not ...
Hybrid
R and python statistical modeling proficiency
Genomic and multi-omics data analysis experience
Generalized linear models and mixed-effects models
The position supports multidisciplinary scientific teams by designing rigorous statistical approaches for integrating complex molecular and cellular biology data
Job Summary
The position supports multidisciplinary scientific teams by designing rigorous statistical approaches for integrating complex molecular and cellular biology data.
Candidates must demonstrate strong proficiency in R or Python to develop and validate statistical models for diverse data modalities including genomic and transcriptomic datasets.
The role offers a competitive benefits package including comprehensive medical coverage, robust retirement plans, and a generous 75% tuition discount for employees and eligible family members.
Matching Summary
The position supports multidisciplinary scientific teams by designing rigorous statistical approaches for integrating complex molecular and cellular biology data.
Salary
Base: $61,800.00 - $115,100.00; Bonus/Equity: Not specified; Benefits: Comprehensive medical, dental, vision, retirement, paid time off, 75% tuition discount
Skills & Requirements
Must-have
R and Python statistical modeling proficiency
Genomic and multi-omics data analysis experience
Generalized linear models and mixed-effects models
Reproducible statistical workflows and version control
Hypothesis testing and uncertainty quantification
Nice-to-have
Experience with single-cell and proteomic datasets
Strong interpersonal and written communication skills
Commitment to ethical conduct and research integrity
Contributions to multi-PI collaborative projects
Publication record in peer-reviewed journals
Key Requirements
M.S. or PhD in Statistics, Biostatistics, Data Science, Computational Biology, Bioinformatics, or related field
3+ years of relevant experience for Advanced Professional level
Must be authorized to work in the U.S.
Successful completion of background checks as per University policies