Who we are:

Calico is a research and development company whose mission is to harness advanced technologies to increase our understanding of the biology that controls lifespan, and to devise interventions that enable people to lead longer and healthier lives. Executing on this mission will require an unprecedented level of interdisciplinary effort and a long-term focus for which funding is already in place.

Position Description

As a Data Wrangler, you will work closely with Calico scientists, external collaborators, and contract research organizations to help store and provide access to biological data. You must be able to learn and work independently, yet collaborate well with coworkers and share their passion to advance Calico’s quest to understanding aging and age-related disease.

Responsibilities

• Work with scientists to identify optimal ways to prepare, annotate, model and navigate their datasets
• Work with the software and information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets
• Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards
• Assist labs in data and metadata submission
• Track the flow of data within ETL (extract, transform, load) and analysis pipelines, ensuring successful processing and data validity

Minimum Qualifications

• Advanced knowledge of biology (a MSc or PhD degree in life sciences or computational biology and/or experience working in a laboratory environment) is required
• 3+ years experience wrangling (organizing, cleaning and efficiently manipulating) scientific datasets
• Detail-oriented with strong organizational and analytical skills
• Ability to work with scientists to elucidate data organization requirements and translate them into written requirements and specifications
• Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community
• Proficient programming skills in a scripting language
• Fluency with Unix tools for data manipulation and relational databases
• Advanced knowledge of bioinformatics, genomics, and proteomics methods, data structures, and data formats
• Familiarity with controlled vocabularies and ontologies
• Experience with data quality assessment