We’re Exai Bio.
Our mission is to deliver the earliest and most accurate diagnosis of cancer. We aspire to enable a world where cancer can be detected early, diagnosed accurately, treated in a personalized and efficacious way, and ultimately cured.
We are a lean, R&D-stage startup developing next-generation, AI-powered cancer detection assays. Our platform integrates proprietary deep learning AI modeling with unique, large-scale cell-free DNA and RNA datasets to enable earlier, more accurate cancer detection. We operate with a "small team, broad impact" philosophy: each team member is entrusted with system-level ownership and decision-making responsibility.
And we’re expanding our Computational team.
Our core work spans three domains: Machine Learning, Bioinformatics and Software Engineering. We are seeking highly motivated, versatile professionals with demonstrated expertise in bioinformatics and computational biology, and the capacity to grow rapidly to become key contributors in the complementary areas.
How We Work
We believe a small team can operate with speed, precision and efficiency by leveraging modern productivity tools. We expect you to:
- Broaden Your Knowledge Base – Rapidly learn new biological concepts, technologies, and computational approaches outside your primary area of expertise.
- Leverage Modern AI Tools – Utilize AI-assisted development tools to accelerate implementation while maintaining scientific rigor and technical excellence.
- Think Critically – Serve as the final scientific reviewer of analyses, algorithms, and AI-generated outputs to ensure accuracy and reliability.
- Take Ownership – Drive projects independently while collaborating effectively across disciplines.
What You Will Do
We are seeking a bioinformatics scientist who combines strong scientific rigor with practical software engineering skills and thrives in a fast-paced startup environment where innovation, ownership, and cross-functional collaboration are essential. The main responsibilities include:
- Analyze large-scale multi-omics datasets, including cell-free RNA, DNA, and associated clinical data. Perform exploratory analyses, hypothesis generation, feature engineering, quality control and biomarker discovery.
- Design, validate, and optimize bioinformatics algorithms and statistical methods to address challenges in cancer detection and disease monitoring.
- Develop and maintain robust, reproducible, and scalable computational tools and workflows for research, translational, and validation studies.
- Apply software engineering best practices including version control, testing, code review, documentation, and CI/CD principles.
- Improve infrastructure supporting experiment tracking, data management, reproducibility, and quality assurance.
- Evaluate emerging technologies, methodologies, and data sources to improve platform performance and scientific capabilities.
Importantly, the ideal candidate will play a key role in product development and validation, regulatory support, and external collaboration programs:
- Contribute to study design, experimental planning and statistical analysis strategies.
- Support documentation, traceability, verification and validation activities required for regulated research and diagnostic environments.
- Work with academic, clinical, and industry partners on joint R&D initiatives, ensuring high-quality analyses and timely delivery of results.
- Translate biological insights into actionable computational strategies and communicate findings to scientific, clinical and business stakeholders.
Who You Are
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Computer Science, Statistics, Genomics, or a related quantitative field.
- 4+ years of relevant industry and/or academic experience in bioinformatics or computational biology.
- Strong background in statistical analysis, algorithm development, and biological data interpretation.
- Demonstrated experience analyzing multiomics data and working with common genomic data formats (FASTQ, BAM, BED, VCF).
- Proficiency in Python and hands-on experience with scientific computing libraries and data analysis frameworks.
- Experience developing reproducible computational pipelines and workflows.
- Strong understanding of software engineering best practices, including Git, testing, code review, documentation, and CI/CD.
Level Expectations
- Member - Leads projects of moderate scope within a team; supports cross-functional work through collaboration. Salary range: $125,000-$155,000.
- Senior Member - Leads complex projects across teams; uses broad business knowledge to drive outcomes beyond immediate function. Salary range: $150,000-$187,000.
What You’ll Get as Part of Our Team
- Some highlights from our suite of comprehensive employee benefits:
- Medical/dental/vision insurance with generous premium coverage for employees and dependents, and employer contributions toward HSA accounts
- Accrued vacation time and sick days starting at 24 days a year
- Hybrid team structure with remote work flexibility
- New hire stock option grants
- 401(k) with company match
What We Value
Our core values represent what we stand for as a team. Everyday, we strive to align our behaviors to these core values in everything we do. We believe that our commitment to our core values connects us to our work and to one another.
Integrity – Our thoughts and actions are true to science and people. We do the right thing.
Openness – We recognize and respect our differences – and embrace learning from them.
Teamwork – We are team players who trust and respect each other.
Exploration – We are explorers, putting curiosity into action.
Kindness – We are kind whenever possible – and we believe it’s always possible.
More About Us
We are an early-stage diagnostic company with a powerful AI-based liquid biopsy platform. Our proprietary technology delivers unprecedented insight into cancer and disease biology from standard, non-invasive blood samples. We are the next generation of liquid biopsy!
We value a diverse, inclusive workforce and we provide equal employment opportunities for all applicants and employees. All qualified applicants will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.
We do not accept unsolicited resumes from agencies or other third parties and will not pay fees associated with such resumes. Agencies, please do not send resumes to any of our locations, employees or email addresses.
