Senior Bioinformatics Scientist

Mirvie Inc
South San Francisco (partially remote can be considered)
Jun 19, 2022
Biotech Bay
Required Education
Position Type
Full time
Mirvie is shaping the future of pregnancy health by predicting unexpected complications before they happen for the well-being of millions of moms and babies. Complications such as preterm birth, preeclampsia and gestational diabetes, affect 1 in 5 pregnancies, with large economic costs and lifelong health consequences for mom and baby. Our ground-breaking RNA platform is first to predict unexpected complications months before symptoms appear by revealing the underlying biology of each pregnancy. This breakthrough opens a new window into pregnancy health, allowing women to act and their doctors to intervene before unexpected complications become a crisis. Detection of early disease, at the individual level, also promises more equitable care than the use of broad sociodemographic factors that often result in bias. The idea for Mirvie was sparked by the personal experience of one of the founders whose daughter was born prematurely. Our team of world-class scientists and entrepreneurs has brought to market category-first, noninvasive tests used by millions. As a women’s health organization, Mirvie’s team shares a common purpose: to create a world where every pregnancy is as healthy as possible for both mom and baby. The company is headquartered in South San Francisco, California.Position Summary:As a Clinical Bioinformatics Scientist at Mirvie, you will be part of the informatics/data science team, working at the interface between lab and informatics to help drive our clinical product development. You will provide critical input to experimental design and take charge in analyzing the resulting data. Familiarity with software engineering principles and clinical regulatory environments are a plus to help build and test analysis pipelines for a hybrid on-prem and cloud compute environment and develop our documentation and testing processes for regulatory submissions and publications.

You will be communicating analysis results broadly within the company and to the research team.Responsibilities as follows, but not necessarily limited to:
  • Collaborate with the informatics team on data analysis
  • Work closely with members of the lab team to design and analyze experiments.
  • Clearly communicate results to different audiences, both through written reports and slides/presentations
  • Build robust pipelines and analyses flows to run in a hybrid compute environments spanning on-prem and cloud compute.
  • Work cross-functionally with the software engineering team to write documentation for our pipelines as required by regulatory bodies.
  • Skills and Qualifications:
  • Master’s or PhD in a quantitative biology discipline or equivalent through work experience.
  • Excellent knowledge of data science programming languages including R and/or Python.
  • Proficient working in a version control environment, e.g. GitHub/GitLab.
  • 3-5 years of experience analyzing genomics data, experience with RNAseq data is a plus.
  • Experience building processing pipelines for genomics data
  • Working knowledge of cloud computing, infrastructure as code, and workflow engines, experience with the AWS ecosystem such as Batch and Kubernetes Service, Terraform, and Docker is a plus.
  • Experience with writing and executing test protocols.
  • Experienced in software testing best practices and software deployment
  • Passion for science and a keen interest in human biology and genetics.
  • Strong professional written and verbal communication skills.
  • A great team player