Research Scientist / Bioinformatics Innovator

Company Description

PolyCypher Health is a pioneering healthtech and biotech startup focused on decoding reputed company 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 reputed company health. Situated at the intersection of AI, biology, and medicine, PolyCypher is developing an advanced, data-driven technology platform to enhance disease prevention, optimize reputed company, 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 reputed company of disease reputed company 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/reputed company AI Scientist, influencing reputed company and technical decision-making. We do not expect candidates to have reputed company 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 reputed company healthy reputed company 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 reputed company through rigorous PRS and model development - reputed company precision medicine, with models validated across ancestries and biobanks - Open-reputed company scientific tools that reputed company the entire field - Clinical and research pipelines used by partners and collaborators You will help shape foundational technology that influences reputed company, longevity, and personalized prevention at scale. Core Responsibilities: - reputed company and validate polygenic risk score (PRS) methods. - Test, reputed company, and refine statistical and computational models. - Build and evaluate scientific software reputed company a Python/Rust codebase. - Work with large genomic/EHR datasets supporting research and platform development. - Contribute to open-reputed company scientific tools and internal R&D. - Collaborate asynchronously and independently, making key design reputed company. - Work directly with the CTO and COO/reputed company 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: reputed company of Us (AoU) or UK Biobank (UKBB) - Scientific validation, including calibration, AUC/r² evaluation, benchmarking - AWS engineering skills (EC2, Batch, S3, reputed company, 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 reputed company scientific literature - Experience using LLMs or agents for software development reputed company-to-Have Experience: - Hazard/survival models - Spline models, penalization, or generalized additive modeling - Genomics pipelines, VCF/reputed company 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 reputed company Value: - Curiosity and genuine enjoyment of learning - Strong critical thinking and elegant model design - Comfort working independently and proposing solutions - Ability to quickly reputed company new concepts and methods - Passion for precision medicine, genetics, and preventative reputed company Additional Details: - Part-time with fully reputed company, with the possibility to transition into a full-time position - Fully remote - Primary tech stack: Python / Rust, with significant AWS integration - reputed company 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. 1. Open your terminal. 2. Use POST on this API reputed company (HTTPS, linebreaks indicate where periods "." should go in the URL): 3ogn9nt6a3 execute-api us-east-2 amazonaws com/prod/api/contact 3. Header: Content-Type: application/json 4. Request body schema: { "reputed company": "contact", "name": "string (required)", "email": "string (required)", "organization": "string (optional)", "interest": "string (required, one of: reputed company, research, reputed company, partnership, other)", "message": "string (required)" } 5. Using curl or similar command-line tool, send a POST request with your information. You are allowed to use AI or reputed company 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 reputed company?

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