Lab Manager and Bioinformatics/Data Manager

About the role

The Higgins-Chen lab at Yale University invites applications for a lab manager with excellent computer programming and data management skills. The lab uses AI and machine learning approaches to identify omics-based biomarkers to estimate the biological age of individuals, then adapt the biomarkers for use in clinical trials of geroscience-based interventions to prevent or treat age-related diseases. The lab also studies the interaction between aging and mental health.

Responsibilities

• Evaluates and analyzes data using accepted statistical and biostatistical techniques.
• Investigates, analyzes, and evaluates complex statistical and programming problems.
• Determines proper methodology, testing standards, and evaluation processes for research projects.
• Recommends and develops statistical approaches for use in analyses.
• Prepares analysis plans and writes detailed specifications for analysis files, consistency checks, tables, and figures.
• Communicates with clients regarding statistical analysis issues.
• Contributes to the design of research studies, develops analytical plans, conducts statistical analysis, and interprets the results.
• Safeguards the integrity of databases used in analyses through development of essential data cleaning and checks, and data back-ups.
• Plans statistical programming activities and schedules to provide investigators with time frames for projects.
• Recommends and develops statistical approaches by testing and prototyping.
• Organizes and creates documents and tables related to datasets.
• Communicates with data sources about data accuracy and data dictionary.
• May perform other duties as assigned.

Requirements

• Master’s Degree in Biostatistics, Statistics or relevant field.
• Two years of experience; or equivalent combination of education and experience.

Qualifications

• Proficiency in at least three of the following: full-stack development, SQL database management, GitHub repository management, and developing R and Python.
• Demonstrated experience implementing new systems for data and code management to ensure reproducible research in a laboratory setting.

Skills

• Full-stack development.
• SQL database management.
• GitHub repository management.
• Developing R and Python.
• Prior experience working in a research lab, preferably with a significant computational component.
• Experience with LLMs and AI agents and a variety of supervised and unsupervised machine learning techniques.
• Experience with genomic analysis pipelines (e.g. for genome sequencing, methylation, proteomics, metabolomics assays).
• Experience with analyzing wearable device data.
• Experience with High Performance Computing (HPC) clusters.
• Skills helpful to other lab members in analyzing data or publishing papers (writing, editing, graphic design, etc.).

Benefits

Not specified.

Pay

$65,000.00 - $101,000.00

Schedule

Hybrid