Startup Careers

Be a part of our family by contributing to our portfolio companies’ innovation and success. Browse open positions below with Intel Capital portfolio companies.

Data Scientist, Bioinformatics at Synthego
Redwood City, CA, US
Synthego is looking for a Data Scientist to drive the development of novel models and tools to make genetic editing predictable. You will lead the design and implementation of machine learning pipelines focused around the understanding of CRISPR genome engineering.
 
As a member of the bioinformatics team, you’ll work alongside an interdisciplinary group of researchers and engineers to design experiments, organize data, build models, and generate and test hypotheses to improve our understanding of CRISPR-based editing approaches and outcomes.

What You'll Do

    • Architect and implement multimodal machine learning pipelines, resulting in descriptive, predictive, or prescriptive models
    • Work with researchers to design and analyze experiments that intelligently grow our datasets
    • Work with interdisciplinary teams within Synthego to identify new research opportunities and enable data-driven decision making on our products
    • Write high quality, robust source code with clear documentation
    • Create polished visualizations to communicate your results to a wider audience

About You

    • BS, MS, or PhD in a quantitative field
    • Come from a biology background with 3+ years of applying data solutions to biology problems
    • Experience and comfort working with large, disparate types of informatics data
    • Familiar with analysis of DNA sequences
    • Possess a strong statistics background
    • Ability to  summarize, visualize, and communicate findings for non-scientists
    • Experienced with a variety of machine learning techniques (GLMs, regression, dimensionality reduction, decision trees, neural networks, etc)
    • Expertise with the standard Python library, statistical packages (numpy, scipy, pandas), and SQL
    • Strong desire to work in a fast-paced, collaborative start-up environment

Nice to Haves

    • PhD in Bioinformatics, Computational Biology, Machine Learning, or Computer Science with cross disciplinary understanding of all topics 
    • Working knowledge of CRISPR guide scoring and off-target prediction tools
    • Familiarity with R
    • Experience with Next Generation Sequencing data
    • Experience with flow cytometry or CyTOF data
    • Experience with bayesian optimization or active learning
    • Experience with convolutional neural networks

Company Benefits & Perks

    • Competitive salary
    • Generous equity at an early stage company
    • Robust medical, dental and vision benefits
    • 401k Plan
    • Fully stocked kitchen and snacks
    • Free catered lunches and dinners 
    • 4x daily Shuttle bus to & from San Francisco
ABOUT SYNTHEGO
 
Synthego’s vision is to turn biology into an information science, with the ultimate goal of dramatically extending the healthy human lifespan.
 
Synthego builds advanced bioinformatics and automated hardware platforms to create next-generation molecular biology tools, starting with full-stack genome engineering.
 
These world-class tools accelerate basic scientific discovery, critical disease cures and novel synthetic biology applications to improve and prolong life.