Scientific Consultant: Bioinformatics & Data Pipelines

The Pennsylvania State University; Ferguson Township (PA); On-site; USD 2,755,000 - 4,133,000; Part time

Job summary

The Pennsylvania State University is seeking a Scientific Consultant to provide on-demand scientific expertise for NCEMS projects. The role involves developing computational methods, data wrangling, and maintaining open science pipelines to support emergent property analyses in molecular and cellular systems.

Ideal candidates are current Penn State graduate students with strong background in computational biology or bioinformatics and a keen attention to detail, able to rapidly learn new tools

Qualifications

• Proficiency in computational and data science methods relevant to NCEMS Working Group research.
• Current Penn State graduate student with demonstrated expertise in computational biology, bioinformatics, or a related data-intensive discipline.
• Strong attention to detail and ability to rapidly learn new software tools and databases.

Responsibilities

• Develop computational methods for integrating, analyzing, and visualizing molecular and cellular biology data.
• Wrangle, harmonize, and standardize biological datasets.
• Implement quality control and quality assurance protocols for data accuracy and reproducibility.
• Provide guidance on bioinformatics tools and pipelines.
• Support publication of intermediate data products, code, and documentation.
• Develop and maintain analysis pipelines compliant with NCEMS Open Science standards.

Skills

Computational biology

Bioinformatics

Data science

Databases

Programming (Python)

Programming (R)

Data visualization

Education

Graduate student at Penn State

Tools

Python

R

SQL

Matplotlib/ggplot

Job description

The Pennsylvania State University is seeking a Scientific Consultant to provide on-demand scientific expertise for NCEMS projects. The role involves developing computational methods, data wrangling, and maintaining open science pipelines to support emergent property analyses in molecular and cellular systems.

Ideal candidates are current Penn State graduate students with strong background in computational biology or bioinformatics and a keen attention to detail, able to rapidly learn new tools