Invitae is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making genetic testing affordable and accessible for everyone to guide health decisions across all stages of life. 

Invitae needs engineers with diverse backgrounds to help us achieve our mission.  We are a cross-functional team of scientific domain experts and dedicated, curious engineers. We build systems that take massive amounts of genomic data, combine it with the world's scientific literature, add to it years of rigorously curated results, and package it all neatly for our scientists to consume. It's a lot of information. As the data gets bigger, our systems need to get better and faster. That's where you come in.  

This is an internship with intention to hire candidates depending on internship outcome.

Compensation: $5,800 monthly. No housing will be provided by Invitae.

Teams and potential projects:

(these projects are subject to change depending on the skills of applicant and requirements of team)

  • Research
    • The Research Team is working on cutting-edge science trying to make the impossible possible.  Our projects include advanced bioinformatics for clinical whole genome analysis, drug repurposing, GWAS-like studies using low coverage whole genomes, and machine learning approaches for early cancer screening and reproductive health.  A typical intern project would be a self-contained project that typically demonstrates a proof of concept by replicating a previously published finding using Invitae data or exploring an idea from a Research Team member. We also have opportunities to work in the lab if you would like to understand how the data is generated (e.g., DNA, RNA, protein biomarkers).  You should be independent and able to work with minimal direction or supervision.  
  • Clinical Science Investigation
    • Design, develop, and validate advanced computational methods and model complex biological processes and datasets, such as data from large-scale mutational analyses, functional genomics assays (e.g. single-cell RNA-sequencing), molecular structures, dynamics and complexes, statistical genetics approaches and more.
  • Digital Array Technology
    • The Digital Array Technology (DArT) team is working on developing a novel low-cost non-invasive prenatal screen (NIPS).  Our projects include statistical analysis of array or NGS data to optimize the sensitivity or robustness of our screen, machine learning approaches for fluorophore detection, and advanced bioinformatics for fetal fraction determination. A typical intern project would be a self-contained project that explores an idea from a Research Team member.  We also have opportunities to work in the lab if you would like to understand how the data is generated (e.g., NGS, microarray manufacturing, imaging, etc.). You should be independent and able to work with minimal direction or supervision. 
  • Bioinformatics
    • The bioinformatics team works together with wet lab scientists and clinical geneticists to develop methods and software for calling variants across a wide range of modern assays. Our projects include working on novel assay/informatics methods for accessing challenging regions of the genome, building HPC and software infrastructure to enable efficient and timely processing of 1000s of samples daily, and devising and implementing strategies to further reduce the amount of manual and follow-up interaction required to process a sample. A typical intern project might take the form of: (i) a proof of concept, implementation, or validation for an improved bioinformatic method, or (ii) a software-oriented feature for some part of our bioinformatic pipeline or HPC infrastructure.
  • Data Engineering
    • The Data Engineering team is building out a big data platform in order to allow all teams to interact with data in a scalable, secure and consistent manner utilizing Apache Kafka and Kubernetes.  Our data aggregation and transformation of many data types including variant calls, finance information, patient data, among many others. An example project is pipelining patient variant information from our clinical reporting software to our pharma partnerships.

Duration: 2-3 months during summer or fall of 2020

At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.


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