Research Data Scientist

About the Role

Key Responsibilities

• Develop and implement statistical models and data workflows for analysis of transcriptomic, metabolomic, and epigenetic data across three longitudinal timepoints.
• Conduct data integration and harmonization across multi-omic platforms, ensuring alignment with study protocols and cohort structures.
• Perform quality control and preprocessing of raw omics datasets, including normalization, batch correction, and outlier detection, generating usable datasets for future analyses.
• Generate publication-ready data visualizations and summary outputs for internal reporting, scientific publications, and grant progress updates.
• Contribute to manuscripts and conference abstracts by preparing methods and results sections in collaboration with the study team.
• Support onboarding and training of student researchers in computational methods and data management procedures.
• Document analytical pipelines and code to ensure reproducibility and adherence to open science best practices.

Requirements

• Proficiency in statistical analysis and modeling, including longitudinal data analysis and mixed-effects models.
• Experience with multi-omic data analysis, including transcriptomic, metabolomic, and epigenetic datasets.
• Skill in data preprocessing, including normalization, batch correction, and outlier detection.
• Experience with data integration and harmonization across platforms and timepoints.
• Proficiency in programming languages commonly used in data science, such as R or Python.
• Ability to create publication-ready visualizations and summary outputs for diverse audiences.
• Experience contributing to scientific manuscripts and conference presentations, especially methods and results sections.
• Knowledge of reproducible research practices, including workflow documentation and version control (e.g., Git).
• Familiarity with research design and methodology, particularly in child development, maltreatment, or early life adversity.
• Strong problem-solving skills and ability to work independently within established research goals.
• Effective written and verbal communication skills for technical and collaborative work.
• Ability to train and support junior team members, including onboarding and mentoring student researchers.
• Experience working in interdisciplinary research teams.

Nice to Have

• 1+ years of post-baccalaureate experience in statistical programming, bioinformatics, or data science, preferably in a research or academic setting.
• Demonstrated experience working with high-dimensional biological data such as transcriptomics, metabolomics, or epigenetics.
• Familiarity with longitudinal data analysis and reproducible research practices.
• Experience working with data related to child development, child maltreatment, or early life adversity.

Qualifications

• Bachelor's Degree
• 1+ years of relevant experience or an equivalent combination of education and experience
• No required certifications

Benefits & Perks

• Salary range of $61,800.00 - $89,600.00.
• Comprehensive medical, dental, and vision coverage.
• Robust retirement plans.
• Substantial paid time off including holidays, vacation, and sick leave.
• 75% tuition discount for employees and eligible spouses and children.