NEW COMPANY: Scientist, Computational Biology

Have you ever wanted to help build a company from the absolute ground level? How about taking on one of the first roles within our growing computational biology team? You'll help create the foundation and culture for our scaling company. Our stealth team is dedicated to the development of paradigm-shifting non-invasive diagnostics to deeply inform the care of patients with cancer and a wide range of other diseases.

Our company was created in 2021 by 5AM Ventures through their 4:59 Initiative incubator program.

What we value:

We care deeply about creating an environment where folks can do their best work from the start. We enjoy camaraderie and challenges as a team. We believe that troubleshooting and solving hard problems is best done together. Our ideal teammate thrives when working side by side with cross-functional colleagues.

Today, this role will involve the critical work of designing, implementing, and optimizing our computational analysis pipeline. As our company evolves, our hope is that you will too. Meaning, there will be ample opportunity for more leadership as we all grow.

Who will love this job:

• You're a computer scientist with expertise in biology and/or genomics
• You're a biologist that's developed a love and skills within computer science
• And/or you're a collaborator with a deep interest in working at the intersection of computational and experimental worlds

What you'll do:

• Apply cutting-edge computational methodologies and build predictive models to empower data-driven decision making
• Build our computational pipeline that will support us in solving a multitude of clinical questions
• Be part of a cross-functional team, working alongside wet lab and computational colleagues to advance our technology

What you'll bring:

• Bachelors or MS degree with 3 years relevant experience, or PhD (preferred) in bioinformatics, computer science, physical sciences and/or the life sciences
• Familiarity with the principles of experimental design and modern data analysis paradigms is required
• Advanced skills in R and Python preferred
• Familiarity with Amazon AWS, Snakemake, and Nextflow is a plus
• Machine Learning (ML) experience with genomic data sets is a big plus
• Open and candid communication with an ability to effectively interact with all levels of the company and our collaborators
• Excellent analytical, organizational and time management skills
• Outstanding self-motivation that allows you to push projects forward with a large degree of independence in collaboration with other experienced scientists
• Ability to lead or co-lead projects centered on innovative analysis of next-generation sequencing datasets