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
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 opportunity 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.Skills Required
- Bachelor's, Master's, or PhD degree in computer sciences or biological field
- 7+ years professional software engineering experience (5 years with Master's or 3 years with PhD) in life sciences or related industry
- Strong proficiency in Python
- Hands-on experience with AWS services (S3, Batch, RDS, EC2, Lambda)
- 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 (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 Brisbane HQ
- 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, owning them end to end
- Experience with analytics engineering tooling (DBT) and data warehouse design
- Track record of building tools for scientists and translating ambiguous requirements into working software
- Demonstrated ability to work independently in a small team where priorities shift
- Background or strong interest in underlying biology and ability to communicate with bench scientists
- Infrastructure-as-code experience (Terraform)
- Thoughtful, productive use of AI coding tools and a considered point of view on their use
What We Do
Mammoth Biosciences is harnessing the diversity of nature to power the next-generation of CRISPR products. Through the discovery and development of novel CRISPR systems, the company is enabling the full potential of its platform to improve lives by reading and writing the code of life. Mammoth aims to democratize disease detection with an easy and affordable point-of-care test that allows real-time and simultaneous detection of multiple conditions. By leveraging its internal research and development and exclusive licensing to Cas12, Cas13, Cas14, and CasΦ, Mammoth can provide enhanced diagnostics and genome editing for life science research, healthcare, agriculture, biodefense and more. Based in San Francisco, Mammoth Biosciences is co-founded by CRISPR pioneer Jennifer Doudna and principal founders Trevor Martin, Janice Chen, and Lucas Harrington. The firm is backed by top institutional investors including Mayfield, NFX, and 8VC, Decheng and leading individual investors including Brook Byers, Tim Cook, and Jeff Huber.
