Nosis Bio is an AI biotech on a mission to end chronic disease. Recent breakthroughs in programmable RNA therapeutics such as siRNAs and ASOs have opened the door to more effective treatments of many diseases, but delivering these therapies to tissues other than the liver has remained an elusive “holy grail” challenge. Nosis has solved this problem via physics-aware deep learning that includes novel neural net architectures, diffusion-based generative algorithms for molecular designs, and high-throughput biochemical assays for confirmatory real-world testing. Together with a best-in-class team of biologists and chemists, we have proven our medicines can be delivered anywhere in the body and can halt, and even revert, the progression of disease. We are deploying this highly differentiated technology across our multiple partnerships with the largest pharma companies in the world, and we have a pipeline of drugs showing best-in-class results against multiple terrible diseases.

We are looking for a world-class computational biologist to join us on the mission to make these computationally designed therapeutics the standard-of-care for all chronic diseases.

Solving a problem as crucial and difficult as drug delivery involves understanding complex biological systems as a whole using multiple different types of data. Whether it be quantifying how the expression patterns of certain genes shift in specific patient populations or building data pipelines that ingest results from our many assays into our machine learning training datasets - understanding and incorporating data in many forms is mission critical to the success of Nosis. We are looking for a mission-aligned computational biologist who is eager to apply their skills and knowledge to improve and build upon this technology, with the end goal of designing medicines that will increase the quality and quantity of patients’ lives.

At Nosis, we embrace big challenges with enthusiasm and a first principles mindset. If that sounds like you, then we should talk!

• Building novel data analytics pipelines to process single-cell RNAseq data produced by Nosis in vivo assays.
• Analyzing transcriptomic and proteomic data from patient populations to inform the drug design process.
• Working with and presenting to our multiple pharma partners as part of our drug design collaborations.
• Helping design novel in vivo assays to produce larger and more accurate datasets.
• Working in collaboration with the machine learning scientists, engineers, chemists, and biologists at Nosis to build safer and more effective therapies for patients.

• PhD in computational biology, bioinformatics, genomics, or equivalent field.
• 2+ years of experience in industry (startup experience highly preferred).
• Deep expertise in transcriptomics and proteomics analysis, including bulk and single-cell data.
• First-principles understanding of the underlying statistical methods used in modern bioinformatics workflows.
• Proven ability to apply data analytical techniques to biological data and extract insights that inform drug design processes.
• Proficient programmer, with fluency in Python and R and relevant libraries therein.
• Comfortable processing, cleaning, wrangling, and storing large bioinformatics datasets.
• Excellent communication and presentation skills.
• Comfortable working in highly collaborative environments.
• Excellent creative problem solving skills.
  

Our benefits include excellent medical and dental coverage, a generous compensation package, unlimited vacation policy, and the option to work remotely.

Nosis was founded by a team of Stanford-trained ML scientists, molecular biologists, and chemists, all devoted to building a mission-driven company focused on creating better outcomes for patients. We are a well funded, venture-backed startup.