OPPORTUNITY

Mammoth Biosciences is seeking a Senior Software Engineer I, Research Informatics, to join our Computational team. This is an impactful group of bioinformaticians and software engineers that supports Mammoth's therapeutic CRISPR gene-editing programs from discovery through IND-enabling studies. As part of the Computational team, you’ll help build and run the analysis pipelines, model and manage the data those programs generate, and develop the internal tools scientists use to design experiments and interpret results.

An ideal candidate will work at the intersection of software engineering and biology. You’ll be responsible for managing and improving the systems the research organization depends on every day: the data warehouse and models that connect assay results to decisions, the internal web applications scientists use to launch analyses and access their data, and the cloud infrastructure everything runs on.

KEY RESPONSIBILITIES

- Design and own relational data models and pipelines that drive scientific decisions, working in the context of existing production systems including Benchling
- Define and refine how data is ingested, modeled, and made queryable
- Collaborate with wet-lab scientists to build right-sized internal analysis tools
- Design and improve the web applications scientists use to launch analyses and access data
- Maintain the cloud infrastructure and automation tooling the research org runs on
- Work directly with Computational team members and biologists to understand scientific needs, then troubleshoot and improve the relevant pipelines and systems
- Enable responsible and reproducible use of AI across the company
- Document systems and decisions to improve reproducibility and engineering standards

REQUIRED QUALIFICATIONS

- Bachelor's, Master's, or PhD degree in computer sciences or biological field
- 7+ years of professional software engineering experience (5 years with Master's or 3 years with PhD) in the life sciences or related industry
- Strong proficiency in Python
- Hands-on experience with AWS services (e.g. S3, Batch, RDS, EC2, Lambda) and containerized deployment (Docker)
- Experience with web development tools (ReactJS, HTML, CSS)
- Experience in SQL,



designing relational data models and working with production databases
- Experience with AI coding tools
- Experience working with scientists, preferably in genomics (with NGS data) or related field
- Proficiency with git-based collaborative development, code review, automated testing, and CI/CD
- Ability to work onsite 2x/per week at our Brisbane HQ

PREFERRED QUALIFICATIONS

- Experience with workflow orchestration systems (Prefect, Nextflow, CWL, Airflow)
- Experience with LIMS/ELN data modeling, preferably Benchling
- Experience building and operating data pipelines or ETL systems, and comfort owning them end to end
- Experience with analytics engineering tooling (DBT) and data warehouse design
- Track record of building tools used by scientists or other non-engineer users, and of translating ambiguous requirements into working software
- Demonstrated ability to work independently in a small team where priorities shift and everyone wears many hats
- Background -- or real interest -- in the underlying biology, and the communication skills to work directly with bench scientists
- Infrastructure-as-code experience (Terraform)
- Thoughtful, productive use of AI coding tools, and a considered point of view on where they help and where they do not

BENEFITS

- Company-paid health/vision/dental benefits
- Unlimited vacation and generous sick time
- Company-sponsored meals and snacks
- Wellness, caregiver and ergonomics benefits
- 401(k) with company matching

$142,000 - $178,000 a year Actual base salary will be determined by relevant professional experience, applicable skills, and internal equity. THE COMPANY

Mammoth Biosciences is a biotechnology company that leverages its proprietary ultracompact CRISPR systems to develop long-term curative therapies for genetic diseases.



Founded by CRISPR pioneer and Nobel laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington, the company's ultracompact proteins are designed to enable in vivo gene editing in difficult-to-reach tissues utilizing both nuclease applications and new editing modalities beyond double-stranded breaks, including base editing and epigenetic editing. The company is building out its pipeline of potential in vivo gene editing therapeutics and capabilities and has partnerships with leading pharmaceutical and biotechnology companies to broaden the reach of its innovative and proprietary technology.

Mammoth's deep science and industry experience, along with a robust and differentiated intellectual property portfolio, have enabled the company to further its mission to transform the lives of patients and deliver on the full promise of CRISPR technologies.

It is our policy and intent to provide equal chance to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation.

Mammoth Biosciences requires that all employees be vaccinated against COVID as a condition of at-will employment, with exceptions for medical or religious reasons in compliance with local, state, and federal law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

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📌 Senior Software Engineer I, Research Informatics (Brisbane)
🏢 Mammoth Biosciences
📍 Brisbane