Lead Analyst, Research Informatics at Relay Therapeutics
Cambridge, MA, US
Our team:
Our company was founded on the premise that protein motion can be used to build breakthrough medicines.  The team at Relay is putting this principle into practice, with the aim of accelerating the development of medicines that will make a transformative difference in patients’ lives.  We don't just stare hard problems in the face. We go out looking for them.  Are you energized by attempting to do the impossible?  We're looking for you.
Energized by the ultimate collaboration between chemistry, biology, computation, and biochemistry & biophysics, we have the resources to change the way drugs are discovered and help millions of people who were previously untreatable.  We're building a company for the ages.  Are you ready to #jointherelay?
The opportunity:
Once upon a time, did your career begin at the bench, but you ultimately pursued your passion for data science and crossed-over to the informatics side?  Read on, this role was made for you.
We are looking for a versatile Lead Analyst, Research Informatics to support the growth and maintenance of our cutting-edge informatics platform.  By implementing commercial systems, writing custom applications, and partnering with our scientists to solve informatics problems, you will have the opportunity to have a tremendous impact on how we conduct drug discovery.

Your role

    • You will work closely with our scientists to continuously improve our research informatics platform by identifying unmet needs and implementing creative solutions
    • Together with our software vendors, you will build out seamless integrations between our informatics systems ensuring that our scientists have easy access to the information they need
    • You will administer and maintain our research informatics systems including the Electronic Lab Notebook (ELN), compound registration, inventory, assay data capture, and data visualization systems
    • We will depend on you to develop and promote best practices for scientific data capture and analysis 
    • The research team will rely on you for training and keeping our research applications running smoothly
    • Testing, 1,2, 3....You will be responsible for testing, deployment and documentation of new systems
    • As Relay grows, you will have an opportunity to lead research informatics and build and manage a team of your own

Your background

    • You have extraordinary communication skills.  Candor and working collaboratively with others is key to success on our team.  You are empathetic and capable of talking with people from a wide variety of backgrounds.
    • Not afraid to pursue hard problems, you are ever-ready to roll up your sleeves and build solutions for the teams you support
    • You earned a Bachelors or higher in Chemistry, Biology or a related scientific discipline
    • You have at least 8 years of experience in pharma/biotech with a solid understanding of the drug discovery process
    • A highly organized thinker (and doer), you can prioritize challenges to ensure the successful execution of your goals
    • You have deep understanding of the scientific applications used for small molecule drug discovery
    • You have a strong working knowledge of modern web development including relational databases (PostgreSQL, Oracle), Python, and JavaScript
    • Do you have experience scripting for data visualization tools including Vortex and Spotfire?  Bonus
    • You can understand and write clear expository prose about complex topics
At Relay, we believe that along with our scientists, our culture is our greatest asset.  In fact we're proud to share we were named as one of the Boston Business Journal's "Best Places to Work" in 2017 & the #1 place for small companies in 2018.   To drive that culture, no one will stop you or hold you back. Instead, we will give you the tools and colleagues to push forward relentlessly and cheer you on as you go. If this resonates with you, drop us a line.
Relay Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.