We’re seeking a Technical Writer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods.
Schrödinger is on the cutting edge of computer-aided drug discovery and materials science. We set the record for the largest and fastest cloud-computing run, and our software suites continue to revolutionize the design of therapeutics and materials. FEP+, WaterMap, Glide, Maestro, and LiveDesign are just a few examples of the programs we’ve created.
As a member of our Education team, you’ll have the unique opportunity to reach scientists across the globe and help integrate the exciting potential of computational drug and materials discovery into an array of research. Importantly, you will have the chance to apply design thinking to improve how scientists access information and answer their own questions regarding the use of Schrödinger software. This role will collaborate with several other teams to make high-quality, user-friendly documentation easily accessible with a goal of enabling researchers to find the answer they need.
Who will love this job:
- A technical writer who loves learning about computational chemistry, biology, and materials science
- A process-oriented editor who wants a career outside of academia and governmental agencies
- A problem-solver who enjoys creating processes and paying attention to detail
- A quick thinker who can pick up concepts and ideas on the fly
- A self-motivated organizer with impeccable time management and interpersonal skills
- A great team player who can also work independently
- A content editor who’s experienced with Flare, Confluence, and/or Jira
- An excellent writer who enjoys clarifying science and processes for others
- A savvy Python programmer who has experience with Git
What you’ll do:
- Work with Schrödinger Support and Development teams
- Design and organize content to communicate the details of Schrödinger tools
- Engage in meaningful scientific discussions with internal teams
- Gain in-depth familiarity with our entire suite of small-molecule, biologics, and materials science software, including packages for docking, molecular simulations, homology modeling, pharmacophore modeling, cheminformatics, and quantum mechanics
- Distill information from a variety of sources and help users to answer their own questions
What you should have:
- A Bachelor’s or Master’s degree in chemistry, biochemistry, biophysics, physics, or a related field, or technical writing experience with a scientific background
- Interest in small-molecule drug discovery
- Understanding of molecular modeling software tools
- Experience with technical and/or scientific writing