Data Scientist/Senior Data Scientist
Proteomics
Confirmed live in the last 24 hours
Calico Labs

201-500 employees

Researching and developing therapies for age-related diseases.
Company Overview
Calico Life Sciences, an Alphabet-incubated company, is a unique blend of biotechnology and academia, dedicated to understanding the biology of aging and developing interventions for age-related diseases. The company's culture fosters curiosity-driven discovery science, utilizing advanced technologies and computing capabilities, and is marked by a long-term perspective and relentless focus on quality research. With a vibrant drug-development pipeline and numerous collaborations, Calico is a leader in its field, offering an exciting environment for those passionate about medical breakthroughs and the science of aging.
Biotechnology

Company Stage

Seed

Total Funding

$2M

Founded

2013

Headquarters

South San Francisco, California

Growth & Insights
Headcount

6 month growth

3%

1 year growth

17%

2 year growth

42%
Locations
San Bruno, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Data Structures & Algorithms
Data Analysis
CategoriesNew
Data Science
Data Analysis
Data & Analytics
Requirements
  • Masters degree or Ph.D. in a quantitative discipline such as statistics, biostatistics, computer science, bioinformatics, or computational biology
  • Expertise in statistical data analysis
  • Experience working with proteomics data and proteomics software (e.g., Sequest, Byonic, PD, MaxQuant, PEAKS, etc.)
  • Fluent coding skills in one or more programming languages (preferably R and/or python). Basic familiarity with the R programming language is strongly preferred.
  • Outstanding communication and collaborative worth ethic
  • Intellectual curiosity, attention to detail, and good follow-through
  • Proactive approach to collaborations and a demonstrated ability to work in a team environment
  • Must be willing to work onsite currently at least three days a week
Responsibilities
  • Develop data analysis strategies, write algorithms, and help with the analysis of proteomics data, in particular data from large patient cohorts and non-standard proteome profiling experiments
  • Maintain and continue to develop in-house developed proteomics algorithms and software tools
  • Explore and deploy external algorithms, software, and tools as needed to complement in-house software
  • Work with software engineers, data scientists, the proteomics team, and scientists at Calico to develop novel platforms for extracting biological insight from experimental data at multiple spatial and temporal scales
  • Interact closely with scientists in the proteomics team, basic research, and in drug development to understand their data analysis needs and provide answers to technical questions through custom analyses, 1-on-1 communication, presentations, and written documents