Retro develops therapies for diseases driven by the biology of aging.
We work on (1) partial reprogramming, (2) blood factors, and (3) autophagy to rejuvenate and restore function to cells, tissues, and organisms.
We are looking for a Process Scientist/Engineer generalist to build our Autonomous Research team.
As a founding member of the Autonomous Research team, you will wear many hats and be challenged with new problems necessitating original thought. You will be joining as part of the early team of a rapidly evolving startup that has a long-term vision and financial stability. Candidates can look forward to helping set up and scale a focused research program in collaboration with a world-class team of scientists and engineers with diverse technical backgrounds.
Retro generates single-cell -omics & functional readouts within a matter of hours, not weeks. You will be responsible for generating biological information and transforming it into actionable insights using closed-loop robotic systems. Ideal candidates are comfortable across an entire biotechnical stack: single cell -omics, immunology, human iPS cells, and building custom hardware/software solutions.
Our team embraces technical challenges head-on with the belief that our deep understanding of the task at hand and use of state-of-the-art tools allows us to fundamentally advance our field in ways not immediately apparent.
10x faster iteration loops than big pharma & academic labs
Vertical integration of anything important
You will work with everyone across the company
A lot will change during this early stage, providing opportunity for significant impact -- It is not for the faint of heart.
Your primary responsibilities:
Design and implement from scratch complex, automated experiments with scientific rationale and methods
Design reprogramming time courses to analyze molecular patterns using sc-RNA, CITE, and ATAC-seq
Work alongside engineers to develop automation for large-scale, parallelized reprogramming of human immune cells
Develop high-throughput interfaces between biological and digital domains in direct collaboration with computational biology team
Achieve wetlab buy-in on ambitious projects in automated biological research
Evaluate new technologies, practices, and tools that increase scientific capacity and efficiency
Demonstrated ability to work and think independently
Advanced Python programming skills, experience with Python testing and packaging infrastructure
Experience working with single-cell RNA sequencing data or other forms of bioinformatics experience, going from raw reads to actionable data
Experience establishing and maintaining aseptic practices for molecular and cell process development
You may be a good match for this role if you are:
A Hacker: you build quickly, information finds its ways to you.
Enthusiastic about rapidly and creatively experimenting, learning, and improving
Excellent at explaining technical concepts clearly and have an open communication style
Deeply care about aging and extending healthy human lifespan