MOTLEY BIO

About the start-up

 

Motley Bio is building a novel multiomic sequencing technology (named Trinity MPU) to simultaneously profile DNA, RNA, and proteins in a single sequencing readout to enable simultaneous measurement of a sample’s genome, epigenome, transcriptome, and proteome for disease detection and profiling. Our assay is paired with MATK (multiomic analysis toolkit software stack) specifically built for the joint analysis of multiomic data.

At Motley Bio, we view our scientists as an investment and open up our network/connections to help them in their future careers, whether it be full time at Motley or other ventures they would like to pursue. In addition to this our scientists will have the opportunity to be a part of ground breaking publications. We hope to get the chance to work with you and look forward to your application!

 

The program, in collaboration with Motley Bio, offers one student the opportunity to work on one of two available projects (see below). Only one applicant will be selected.

  • Project Summary
    Biological differences between disease and normal state drive pathogenic progression. One category of such differences or mutations are copy number variations in which the disease state either amplifies or reduces the normal amount of copies of a gene or genomic segment. We aim to capture this phenomena on not only the DNA or genomic level, but also across RNA, Methylation, and Proteomic levels.

    About the Candidate
    A Motley Bio computational scientist is a driven individual who will gain invaluable industrial experience working in a fast paced environment. The duties and responsibilities of the scientist will include but is not limited to:

     

    Responsibilities

    • Analysis of data from next generation sequencing experiments (FASTQ, BAM, etc)

    • Running commonly used bioinformatics software (samtools, bedtools, GATK, etc)

    • Writing code that extracts insights from genomic data + visualizing your results

    • Aiding in the development of software + machine learning algorithms

    • Presenting and getting feedback on your work on a regular basis

    Plusses

    • Statistics and Probability skills

    • Proficient in Python Programming

    • Bioinformatics experience (bonus)

    • Machine Learning experience (bonus)

    • R Programming knowledge (bonus)

  • Project Summary
    One key step in the analysis of next generation sequencing data is to assign the sequenced DNA fragments to their exact location in the genome (i.e. mapping). Erroneously mapped reads can result in false positives in variant calling across multiple variant types (SNVs, CNVs, Structural Variants, etc). We aim to utilize the additional information gained by sequencing one analyte (e.g. RNA) to assist in the correct mapping of another (e.g. DNA).

    About the Candidate
    A Motley Bio computational scientist is a driven individual who will gain invaluable industrial experience working in a fast paced environment. The duties and responsibilities of the scientist will include but is not limited to:

     

    Responsibilities

    • Analysis of data from next generation sequencing experiments (FASTQ, BAM, etc)

    • Running commonly used bioinformatics software (samtools, bedtools, GATK, etc)

    • Writing code that extracts insights from genomic data + visualizing your results

    • Aiding in the development of software + machine learning algorithms

    • Presenting and getting feedback on your work on a regular basis

    Plusses

    • Statistics and Probability skills

    • Proficient in Python Programming

    • Bioinformatics experience (bonus)

    • Machine Learning experience (bonus)

    • R Programming knowledge (bonus)

 
 
 

Looking for

Location

San Carlos, California