Rapidly Growing Life Sciences Technology Company

Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.

We are looking for a highly motivated Senior Bioinformatics Data Scientist to join our team!

As a Senior Bioinformatics Data Scientist, you will develop the next generation of analysis methods for our unique genomic datasets and will be a central driver of our scientific discovery, working at the intersection of biology, computer science, and machine learning. You will be creating the novel computational strategies and scalable pipelines that unlock the insights hidden within our data.

How You’ll Contribute

• Architect & Implement: Design, build, and optimize robust bioinformatics pipelines for analyzing large-scale Next-Generation Sequencing (NGS) datasets efficiently and cost-effectively in a cloud/HPC environment
• Innovate & Analyze: Develop novel algorithms and adapt cutting-edge methods to extract meaningful biological insights from complex, high-throughput data
• Collaborate & Influence: Partner cross-functionally with our lab scientists, data scientists, and clinical partners to understand their needs, provide analytical expertise, and help shape the design of our scientific platform
• Drive Scientific Rigor: Apply sophisticated statistical analysis, machine learning models, and probabilistic modeling to ensure the accuracy and impact of our findings
  
  

Qualifications, Skills, Knowledge & Abilities

• Degree in Computational Biology, Bioinformatics, Computer Science, or a related discipline
• MS degree with 5+ years or PhD degree with 3+ years of relevant industry or academic experience in a hands-on bioinformatics role
• Demonstrated experience analyzing and interpreting large-scale NGS datasets (e.g., WGS, WES, RNA-seq, SingleCell, cfDNA)
• Expert proficiency in Python for complex data analysis
• A strong foundation in statistics, algorithm design, and machine learning
• Proficiency with software development best practices (e.g., version control with Git, containerization with Docker, unit testing)
• A track record of applying machine learning frameworks (e.g., PyTorch, scikit-learn) to biological problems
• Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis
• Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools like WDL, Nextflow or Snakemake
  
  

Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics’ EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting [email protected].