Zephyr AI · 3 months ago
Bioinformatics Scientist
Zephyr AI is building an innovative AI platform to change the way we treat cancer and other chronic diseases. They are seeking a talented Bioinformatics Scientist to develop and deploy computational engines and bioinformatics pipelines for processing massive Next-Generation Sequencing datasets, contributing to cancer research and patient care.
Artificial Intelligence (AI)BiotechnologyMedical
Responsibilities
Design, build, and maintain robust, scalable bioinformatics pipelines for processing and analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-seq, ctDNA/liquid biopsy)
Perform rigorous quality control and statistical analysis of high-throughput biological data to ensure data integrity and generate actionable insights
Integrating genomics, transcriptomics, and real-world clinical data (EHR, claims) to provide actionable biological insights
Write clean, well-documented, and production-ready Python code, leveraging modern workflow orchestration tools like Dagster and/or Nextflow
Collaborate closely with computational biologists and machine learning scientists to prepare datasets for model training. Clearly communicate complex computational results and biological insights to colleagues with diverse scientific backgrounds
Qualification
Required
Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related quantitative field. (Exceptional candidates with an M.S. or B.S. and relevant industry experience will also be considered)
Deep expertise in NGS data analysis, including a strong understanding of standard tools (e.g., BWA, STAR, GATK, SAMtools) and algorithms for variant calling, expression quantification, and quality control
Proficiency in Python and its scientific computing ecosystem (pandas, NumPy, scikit-learn)
Experience in precision oncology, immuno-oncology, liquid biopsy analysis (ctDNA, MRD), or AI-driven drug discovery
Solid understanding of molecular biology, genetics, and genomics
A collaborative, problem-solving mindset and excellent communication skills
Preferred
Machine Learning: Experience with or a strong understanding of machine learning concepts and their application to biological data
Pipeline & Workflow Orchestration: Proven experience building and managing production-grade bioinformatics pipelines using workflow managers such as Dagster and Nextflow
Public Datasets: Hands-on experience with large-scale public cancer genomics datasets (e.g., TCGA, GENIE, DepMap)
Publication Record: A track record of peer-reviewed publications in relevant fields
Software Engineering Practices: Familiarity with software development best practices, including version control (Git), containerization (Docker/Singularity), and CI/CD principles
Cloud Computing: Experience with cloud computing environments (AWS or Azure) and services
Benefits
United Healthcare PPO, HMO, and HDHP plans > 100% company paid for you + family
Dental (including orthodontic coverage) > 4 carriers, 100% company paid for you + family
Vision > 2 carriers, 100% company paid for you + family
Health Savings Account ( HSA) + Flexible Spending Account (FSA)
Basic Life and AD&D Insurance > 100% company paid
Voluntary benefits: short term and long term disability, supplemental AD&D, supplemental life, pet insurance
Paid maternity and paternity leave
Flexible paid time off
15 Paid holidays
401(k) program
Work from home + cell phone/internet reimbursement
Unlimited 1:1 tax advisory sessions with our equity management team
Employee referral bonus
Employee assistance program (EAP)
Opportunities for advancement
Company
Zephyr AI
Zephyr AI is a healthcare technology company that reshapes traditional approaches to drug discovery and precision medicine.
H1B Sponsorship
Zephyr AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (2)
Funding
Current Stage
Early StageTotal Funding
$129.5M2024-03-13Series A· $111M
2022-03-30Seed· $18.5M
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