Sr. Data Scientist, Computational Biology

COMPANY

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 read and write the code of life. By leveraging its internal research and development and exclusive licensing to patents related to Cas12, Cas13, Cas14, and CasPhi, Mammoth Biosciences can provide enhanced diagnostics and genome editing for life science research, healthcare, agriculture, biodefense and more. Mammoth is democratizing disease detection with easy and affordable point-of-care tests that allow real-time and simultaneous detection of multiple conditions, along with high-throughput tests that allow for unprecedented testing volume. Further, the company is transforming disease treatment with its proprietary micro-sized CRISPR proteins that enable new editing and delivery options. Based in Brisbane, CA, 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 Decheng, Mayfield, NFX, and 8VC, and leading individual investors including Brook Byers, Tim Cook, Bob Nelsen, and Jeff Huber.

OPPORTUNITY

Mammoth is seeking a computational biologist with expertise in molecular diagnostics and the development of computational tools to join its growing diagnostics team, which is responsible for developing disease detection platforms using novel CRISPR-associated (Cas) nucleases.

The successful candidate will be responsible for designing and validating computational workflows and tools to support research and development. In addition, the individual will be responsible for presenting work and training others to use computational tools. The successful candidate will work collaboratively with a diverse group of scientists, engineers, and physicists to build new tools to help in the fight against infections and genetic disease.

KEY RESPONSIBILITIES

• Work with diagnostic team to build pipelines, visualization tools, and supplement experimental lab work
• Algorithm and statistical method development with genomic databases and experimental data sets
• Pipeline development and data analysis of genomes and metadata relevant to diagnostics
• Communicate and work across a multidisciplinary team consisting of scientists, engineers and physicists

REQUIRED QUALIFICATIONS

• Master's degree in molecular biology, biochemistry, computational biology, software engineering or a related field
• 2 years of computational experience in industry life sciences
• Experience using bioinformatics databases, tools and best practices
• Experience working with molecular diagnostic assay design
• Advanced programming skills in Python in a UNIX environment and experience with SQL and R
• Experience working with Docker, Conda, and AWS

PREFERRED QUALIFICATIONS

• PhD in molecular biology, biochemistry, computational biology, software engineering or a related field
• Experience with the analysis and visualization of next-generation sequencing data
• Experience in web-based data visualization and Spark considered a plus
• 4 years of computational experience in industry life sciences, preferably diagnostics
• Experience with applied statistics
• Ability to work independently and contribute to the development of multiple pipelines
• Experience working on the development of diagnostic devices (510(k), CE-IVD) is a plus

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