Company Description
PolyCypher Health is a pioneering healthtech and biotech startup focused on decoding complex diseases through the integration of polygenic scoring and health data. The company aims to build precise individualized risk profiles and identify novel genetic drivers of diseases that significantly impact human health. Situated at the intersection of AI, biology, and medicine, PolyCypher is developing an advanced, data-driven technology platform to enhance disease prevention, optimize healthcare, and accelerate the discovery of new therapies. Join us in our mission to revolutionize precision medicine and improve global health outcomes.
**Full Job Description
Research Scientist / Bioinformatics Innovator (Part-Time)**
PolyCypher Health is looking for a postdoc, staff scientist, or student (Bachelor’s, Master’s, or PhD at any stage, given research proficiency) in biostatistics, statistics, computational biology, genomics, applied math, or computer science to help us build the next generation of disease prediction technology. Our mission is to predict diseases before they occur, combining genomics, EHR data, and cutting-edge AI method development.
This is a part-time, flexible contributor role focused on scientific methods, polygenic risk scoring, and model validation. You will also work directly with PolyCypher’s CTO and COO/Lead AI Scientist, influencing core scientific and technical decision-making.
We do not expect candidates to have all skills listed: if you have some of them and a strong desire to learn, you should apply.
Mission + Impact:
PolyCypher Health is building models that can meaningfully extend healthy human lifespan. We combine polygenic risk scores, clinical data, and modern computational approaches to identify disease risks before symptoms appear. Our work aims to become part of preventative medicine, expand access to personalized health insights, and improve clinical decision-making across diverse populations.
Your work here will directly advance:
Early disease prediction through rigorous PRS and model development
Equitable precision medicine, with models validated across ancestries and biobanks
Open-source scientific tools that elevate the entire field
Clinical and research pipelines used by partners and collaborators
You will help shape foundational technology that influences healthcare, longevity, and personalized prevention at scale.
Core Responsibilities:
Develop and validate polygenic risk score (PRS) methods.
Test, benchmark, and refine statistical and computational models.
Build and evaluate scientific software within a Python/Rust codebase.
Work with large genomic/EHR datasets supporting research and platform development.
Contribute to open-source scientific tools and internal R&D.
Collaborate asynchronously and independently, making key design decisions.
Work directly with the CTO and COO/Lead AI Scientist on high-impact research and method development.
Preferred Experience:
PhD / post-doc strongly preferred
Polygenic risk scoring (PRS), statistical genetics, or disease-risk modeling
Experience with large biobanks: All of Us (AoU) or UK Biobank (UKBB)
Scientific validation, including calibration, AUC/r² evaluation, benchmarking
AWS engineering skills (EC2, Batch, S3, Lambda, etc.)
Programming in Python and/or Rust (Rust experience welcome but not required)
Strong foundations in statistics, machine learning, numerical methods, or computational modeling
Experience publishing in genomics, statistical genetics, or polygenic risk scoring, or demonstrated contributions to related scientific literature
Experience using LLMs or agents for software development
Nice-to-Have Experience:
Hazard/survival models
Spline models, penalization, or generalized additive modeling
Genomics pipelines, VCF/array data, imputation workflows
Low-level programming (Rust/C/C++)
AI/ML: LLMs, medical language models, agent frameworks, or automation
Software engineering: testing, reproducibility, optimized computation
What We Value:
Curiosity and genuine enjoyment of learning
Strong critical thinking and elegant model design
Comfort working independently and proposing solutions
Ability to quickly absorb new concepts and methods
Passion for precision medicine, genetics, and preventative healthcare
Additional Details:
Part-time with fully flexible hours, with the possibility to transition into a full-time position
Fully remote
Primary tech stack: Python / Rust, with significant AWS integration
Real ownership of projects and scientific influence
Work directly with the company’s technical leadership
Challenge
: send us a message using the command line. This will email the founding team.
Open your terminal.
Use POST on this API endpoint (HTTPS, linebreaks indicate where periods "." should go in the URL):
3ogn9nt6a3
execute-api
us-east-2
amazonaws
com/prod/api/contact
- Header:
Content-Type: application/json
- Request body schema:
{
"source": "contact",
"name": "string (required)",
"email": "string (required)",
"organization": "string (optional)",
"interest": "string (required, one of: healthcare, research, enterprise, partnership, other)",
"message": "string (required)"
}
- Using curl or similar command-line tool, send a POST request with your information. You are allowed to use AI or Google to help you.
Complete the challenge and we will look more favorably on your application–good luck! The message can be whatever you would like to share.
Job Type: Part-time
Expected hours: 2 – 24 per week
Application Question(s):
- What's your GitHub?
Work Location: Remote