Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
About the Role
We're seeking a Designer to own the day-to-day creative execution that brings our brand to life. You'll be responsible for creating clear, compelling visual experiences across marketing, recruiting, events, executive communications, and company storytelling.
Operating as a highly versatile designer, you'll transform high-level concepts into polished final deliverables, from event experiences and conference collateral to investor presentations, recruiting materials, and brand systems. You'll help define and maintain a visual identity that feels distinctly Edison.
As our design needs evolve, you'll also have opportunities to contribute to product design initiatives. Extensive product design experience is not required on day one, but curiosity and enthusiasm for growing in that direction are important given the broad scope of design at a fast-growing startup.
This role is based in San Francisco and works closely with operations, product and leadership.
Key Responsibilities
Own design execution across brand, events, recruiting, marketing, and executive communications.
Create event collateral, conference experiences, signage, presentations, digital assets, recruiting materials, and marketing content that elevate the Edison brand.
Maintain and evolve Edison's sophisticated, minimal visual identity, across every touchpoint.
Develop scalable templates, systems, and assets that allow great design work to be produced consistently and efficiently.
Use AI to move faster, not to replace judgment.
Pick up product design work with Platform as bandwidth allows.
Required Qualifications
Typically, 3-5 years of professional design experience with a portfolio that shows your range: brand identity, event/exhibit design, marketing collateral, and decks.
Expert-level Figma and Adobe Creative Suite skills.
A strong, defensible point of view on what "good" looks like, paired with tactful editing discipline.
Ability to strip a design down to its essential elements rather than layering more on.
Comfort working fast and independently against ambiguous, time-sensitive requests.
Preferred Qualifications
Motion or 3D experience (After Effects, Blender, or Cinema 4D).
Prior experience designing in-house for a fast-moving startup, where you owned output end to end.
Curiosity about product design and/or early exposure to it.
Genuine interest in Edison's mission and the life sciences space.
We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:
Competitive salary and equity
Full healthcare coverage; we pay 100% of premiums for you and your dependents
Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
12 weeks of paid parental leave for maternity, paternity, and adoption
Pet care support with a yearly employer-funded stipend for your animal companions
Commuter benefits so you can pay for transit and parking with pre-tax dollars
401(k) company matching
$300 health and wellness benefit quarterly
Lunch is on us every day you're in the office, and dinner is on us when you're working late
Regular team off-sites and company events
Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Edison Scientific is a company focused on applied ML research and the application of ML methods to solve real-world problems. They emphasize experience across the entire ML lifecycle, from data pipelines to model deployment and validation in production systems.