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Senior Scientist I/II - Bioinformatics

Mammoth Brisbane, CA

OPPORTUNITYMammoth Biosciences is seeking a Sr Scientist I/II, Bioinformatics to join its growing team. The successful candidate will contribute towards Mammoth’s efforts to develop safe and effective therapeutic treatments for genetic diseases. They will work closely with researchers, development teams, and external partners to establish statistical analysis tools, design assays, and produce insights on the effects of our novel CRISPR systems. The Senior Bioinformatics Scientist will also interact closely with the computational team to define and use internal tooling. This is a hybrid role; expectations for time in office can be discussed depending on experience level.

KEY RESPONSIBILITIES

  • Design analysis pipelines for multi-omics data (genomics, transcriptomics, epigenomics, proteomics)
  • Work closely with the project teams to track assay data, automate analyses, and deliver scientific insights
  • Enable scientists to access and visualize their data
  • Work with bioinformaticians, data scientists, software, and data engineers engineers to deliver sized-for-need solutions

REQUIRED QUALIFICATIONS

  • PhD, MS, or BS degree in Computer Science, Bioinformatics, Computational Biology, Biostatistics, or a related field
  • Sr Scientist I: PhD with 3+ years of industry experience, or MS with 6+ years of industry experience, or BS with 8+ years of industry experience
  • Sr Scientist II: PhD with 4+ years of industry experience, or MS with 7+ years of industry experience, or BS with 9+ years of industry experience
  • Industry expertise in building bioinformatics pipelines and analyzing data related to gene editing therapeutics
  • Proficiency in Python and SQL, including tools/libraries for data analysis (pandas, jupyter, plotting libraries)
  • Experience modeling lab assays with LIMS system, preferably using Benchling
  • Strong communication, data visualization, and organizational skills

PREFERRED QUALIFICATIONS

  • Knowledge of statistical methods and mathematical models in the interpretation of biological data
  • Proficiency with collaborative coding and version control tools (git and github)
  • Experience working with workflow management systems (Prefect, CWL, Nextflow)
  • Experience deploying analysis pipeline solutions (Docker, AWS Batch, AWS S3)
  • Experience writing code in a production environment (CI/CD, testing)

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
Base Salary Range: $155,000 - $182,350
The listed base salary range is for Mammoth employees in the Bay Area. Actual base salary will be determined by geographic work location, relevant professional experience, applicable skills, and internal equity. The base salary range for those working remotely outside of the San Francisco Bay Area may differ and will be determined by industry market data for the role and specific region
COMPANYMammoth Biosciences is a biotechnology company focused on leveraging its proprietary ultracompact CRISPR systems to develop long-term curative therapies, as well as other applications such as decentralized precision diagnostics. 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, gene writing, 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-19 as a condition of at-will employment, with exceptions for medical or religious reasons in compliance with local, state, and federal law. 
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Job Profile

Regions

Asia/Pacific

Countries

Australia

Benefits/Perks

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

Skills

AWS S3 Bioinformatics Computer CRISPR CRISPR Systems Data analysis Docker Epigenomics Gene Editing Genomics LIMS Proteomics Python SQL Statistical analysis Transcriptomics

Tasks
  • Deliver scientific insights
  • Design analysis pipelines for multi-omics data
  • Enable scientists to access and visualize data
  • Statistical analysis
  • Track assay data and automate analyses
  • Training
  • Work with bioinformaticians, data scientists, software, and data engineers
Experience

3+ years

Education

Bioinformatics Biostatistics B.S. Computational Biology Computer Science MS Ph.D. Related Field

Restrictions

Hybrid role, time in office can be discussed depending on experience level

Timezones

Australia/Brisbane Australia/Darwin Australia/Melbourne Australia/Perth UTC+10 UTC+11 UTC+8 UTC+9