Benchling→
Software Engineer, Insights at Benchling in San Francisco, CA
Skills
Job Description
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.
Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.
Come help us bring modern software to modern science.
ROLE OVERVIEW
The Insights team is building the next generation of data analysis and visualization experiences for scientists working in Benchling. This role is a unique opportunity to shape how our customers explore and interact with their data — bringing clarity to complex scientific processes and accelerating breakthrough research.
As a Software Engineer on this team, you’ll build new features and platform capabilities that enable scientists to analyze and visualize their data effectively and make informed decisions with ease. Working on a wide range of projects, you'll collaborate with teams across the company to build data analysis features that integrate seamlessly with the rest of Benchling.
RESPONSIBILITIES
You’ll build and own core features for our scientific data analysis product and platform, including machine learning features to optimize experiments and AI-powered features to help scientists explore and understand their data.
You'll work across our full stack, tackling challenges from the front-end UI, our back-end architecture, to our machine learning pipelines.
You'll be a key partner to product and design, collaborating to transform ideas into thoughtful, high-quality features for our users.
You'll do more than just ship code—you'll help us build a better engineering organization by improving our tools, processes, and helping us hire great people.
QUALIFICATIONS
2+ years of experience in software engineering, ideally in a full stack role.
Experience in machine learning systems, or a track record of picking up new technical domains quickly.
You take ownership of key product and/or platform work end-to-end.
You take a product-first approach to building software. You ship code quickly and care about the real world impact of your code.
While domain knowledge in life sciences is not required, you’ll thrive in this role with curiosity and a desire to learn.
HOW WE WORK
We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).
SALARY RANGE
Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $141,104 to $200,906
To help you determine which zone applies to your location, please see this resource. If you have questions regarding a specific location's zone designation, please contact a recruiter for additional information.
Total Compensation includes the following:
Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation
Company-wide Winter holiday shutdown
Sabbaticals for 5-year and 10-year anniversaries
#LI-Hybrid
#BI-Hybrid
#LI-KW1
Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.