Pattern Ag is an agricultural technology company leveraging advances in genomics, data science, and microbiology to help farmers improve the productivity, profitability, and sustainability of their land. By applying genomic analysis to farm soil, we unlock a wide range of predictive insights that help farmers improve their soil health and optimize their spend on seed, crop protection, and fertility inputs. Combining these insights with the latest in digital sensing, data science, and machine learning, we are ushering in the era of predictive agriculture, powering on-farm decision making for millions of acres, and billions in crop spend.
Our team is seeking an experienced metagenomics scientist to develop the models, pipelines, and pattern analyses for soil genome data. We are looking for someone with strong code skills and a deep passion for metagenomics to join our data science team, and work cross disciplinarily with our software and laboratory teams. If you are excited to mine a novel soil genomic database for dominant patterns that will form the bedrock of tools to increase the sustainability of modern agriculture then we look forward to meeting!
Responsibilities
- Develop and maintain pipelines for targeted sequencing, shotgun metagenomics, whole genome assembly, genome annotation, and genomic database construction
- Work with bioinformatics leadership to develop long-term genomic strategies to meet commercial and R&D needs
- Advise ideal targeted metrics for run assessment and data quality
- Collaborate cross-functionally with a variety of teams, working closely with scientists, engineers, and product managers to inform and prioritize product enhancements
Required skills and/or experience
- Bioinformatics Masters in relevant scientific discipline or 2 years of relevant industry experience as a bioinformaticist
- Strong programming skills in Python, as well as comfort in command line tools with good software development habits
- Broad knowledge of NGS analysis tools and methods, including classification tools and databases
- Knowledge of high-throughput sequencing, next generation sequencing, and computational genomics
- Demonstrated project experience in microbiome characterization and computational analysis of microbial populations
- Ability to set up and run pipelines either locally or on the cloud
- Ability to develop robust, scalable solutions that address complex workflows and systems, by understanding requirements, studying data flows, and conferring with team members to identify optimal solutions balancing complexity and cost
- Experience with genome assembly algorithms and latest sequencing technologies
- Experience working with AWS or GCP
- Strong written and oral communication skills
Preferred sills
- Experience with relational databases and SQL
- ML techniques as applied in computational genomics such as hierarchical clustering, bayesian matching algorithms, SVMs, HMMs, and dimensional reduction
- Experience in metagenomic and population level analyses
$100,000 – $120,000 a year
Thank you for considering Pattern Ag. We look forward to reviewing your application!