Autonomous Research Process Scientist/Engineer

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.

Why Retro:

• • 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

Ideal qualifications:

• • 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