Research Associate Position
Job Code: MB-MMB-006
​
We are seeking a full-time Research Associate to join a highly collaborative team using the latest molecular biology, protein biochemistry, and -omics analysis techniques to develop microbiome-based therapies. In addition, there will be opportunities to assist in the execution of pre-clinical studies to evaluate treatment efficacy. The ideal candidate is obsessed with the question of how to best design and execute experiments to identify treatment-improving therapies. This is a unique opportunity to work at a nimble, forward-thinking microbiome start-up and help build the foundation for microbiome as therapeutics.
​
Job responsibilities:
-
Plan and execute experiments to assess product efficacy
-
Use established techniques to conduct cellular and molecular assays on animal tissues
-
Document work in notebooks and technical reports
-
Prepare presentations for internal meetings
-
Prepare reagents and assist in day-to-day laboratory functioning
​
Candidate Must:
-
Possess excellent oral and written communication skills
-
Contribute effectively to a cross-functional role and serve as a subject-matter expert
-
Demonstrate ability to work independently and as part of a team consisting of a diverse group of science professionals
-
Work well within a fast-paced, dynamic, and team-oriented start-up environment
-
Possess excellent organizational, interpersonal, and problem-solving skills
-
Demonstrated skills in laboratory techniques
-
Knowledge of safe laboratory practices, including the proper procedures in handling chemicals and samples
​
Qualifications:
-
BS or MS in Molecular Biology, Microbiology, or Cell Biology required
-
Ideally 2+ years of hands-on experience
-
Strong background in biology and modern molecular techniques
-
Skilled in in-vitro assays involving cell culture systems, cytokine profiling, Western Blot, and microscopy
-
Additional experience with molecular biology techniques such as DNA/RNA isolation, qPCR, PCR, and mammalian cell transfection/transduction is strongly preferred
​