Scientist – Bioinformatics and Integrative Omics

Los Alamos
Posted 4 months ago

Location: Los Alamos, NM

Compensation: Commensurate with experience including bonus/incentives and benefits

About this opportunity: 

Pebble Labs is a cutting-edge biotechnology company dedicated to using science to improve human conditions, by developing novel strategies to address real life problems in a sustainable and environmentally conscious manner. We are rapidly growing and are looking for enthusiastic and driven contributors to join a multicultural and diverse scientific team.

In this role you will have the opportunity to join an early stage, highly funded biotechnology research company. You’ll join a fast paced multidisciplinary team doing bioinformatics and omics work both in the laboratory and computationally. This position will be hired at the Associate Research Scientist or Research Scientist level depending on experience.

Pebble Labs is located in the scientific hub of Los Alamos, New Mexico and draws upon the synergy of one of the top laboratories in the United States. Neighboring Santa Fé and Taos communities with its diverse cultural, artistic and music scene, together with outdoors activities including skiing, hiking and fishing in the Sangre de Cristo and Jemez ranges, offers a unique living and family friendly environment.

Learn more about Pebble Labs at

What is required in this role: 


  • Ph.D. in Biology and/or Computer Science related field
  • Strong foundational knowledge and experience in Biology including systems and methods in genomic DNA, RNA, and protein
  • Expertise in computational omics including but not limited to data mining, sequence processing and analysis, pipeline development, R, scripting (e.g. python, bash, perl), and other software in the field while working with data from DNA, RNA, and protein simultaneously and integratively
    • Expertise in statistics and modeling including but not limited to Bayesian statistics, linear and non-linear modeling, network analysis, machine learning, and algorithm development
  • Demonstrable proficiency in bench/field work and techniques
  • Preferred experience in hands on sequencing, metagenomics, programming, and HPC applications


Ideal Qualifications:

  • Experience with multiple systems including eukaryotic, bacterial, and archaeal genomics as well as isolates, symbioses, communities, and populations are highly desired
  • Communication Impactstrong written and verbal communication skills with project teams
  • Collaborationteam player who can work in a high activity, fast-paced environment
  • Problem Solvingability to utilize the scientific method for critical thinking
  • Quality and Proceduresresponsible for understanding experimental procedures performed to assure the accuracy and quality of results
  • Self-Starter – Can work independently and able to collaborate with scientists to make appropriate and timely decisions to meet deadlines on experiments and projects




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