The Role
Lead end-to-end development and ownership of major areas of an internal cloud-based platform supporting antibody discovery. Translate lab workflows into reliable software, design system-level architecture, implement front-end and back-end features, improve testing and engineering practices, and collaborate with scientists and product owners to deliver validated production systems.
Summary Generated by Built In
The role: BigHat Biosciences is looking for a Senior Software Engineer to join our engineering team. This role is for experienced engineers ready to own a significant area of our platform as a subject-matter expert, lead epics end-to-end, and shape the architecture and engineering practices that support the design, build, and testing of therapeutic antibodies at scale. You will work closely with engineers, product partners, and laboratory scientists to build and evolve the internal software systems at the center of our science.
This role is leveled as Senior Software Engineer I. At this level, you operate as a subject-matter expert in your area, working with a high degree of independence and regularly leading epics. Candidates with prior experience in biotech, life sciences, or scientific software may be considered with fewer total years of software engineering experience.
*At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.
This role is leveled as Senior Software Engineer I. At this level, you operate as a subject-matter expert in your area, working with a high degree of independence and regularly leading epics. Candidates with prior experience in biotech, life sciences, or scientific software may be considered with fewer total years of software engineering experience.
*At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.
Key Responsibilities
- Lead projects end-to-end, from PRD through implementation, testing, release, and validation against the customer success metric.
- Own one or more major areas of BigHat's internally developed, cloud-based platform as a subject-matter expert, and serve as a cross-team and cross-org resource for those areas.
- Take on net-new, 0-to-1 work from specification, designing interactions between features and the infrastructure that supports them, and producing novel solutions where existing patterns fall short.
- Collaborate with, and increasingly manage, the relationship with scientists and product owners to translate real-world lab workflows into reliable software, and to iterate on success metrics.
- Operate and run engineering processes: PRD reviews, stand-ups, PR approvals, and other team ceremonies.
- Own the quality and outcomes of your work and your epics, including debugging, test failures, and production issues, anticipating next steps and owning the trajectory of major features.
- Drive technical depth across the codebase, infrastructure, and systems, and actively improve the design and architectural principles the team works within.
- Design and build high-quality software across front-end (UI/UX) and back-end systems, with system-level expertise in the databases, AWS services, runtimes, and processes that underpin them.
- Lead and review technical designs and PRDs; contribute architectural direction and surface risks and tradeoffs early.
- Write, maintain, and raise the bar on automated testing to ensure correctness, reliability, and maintainability.
- Run code reviews as a routine approver, providing thoughtful, high-leverage feedback that develops other engineers.
- Diagnose and resolve complex issues across production and development environments, including across system and environment boundaries.
- Improve internal engineering practices, documentation, tooling, and architecture; help set and transmit appropriate urgency in partnership with engineering leaders.
Skills Knowledge and Expertise
About You
- You have a track record of owning features and epics end to end in a production software environment.
- You are an SME in at least one significant technical area and are reaching to master new ones.
- You work highly independently and initiate the collaborations needed to deliver work that bridges many parts of the codebase.
- You balance development, architecture, and process effectively, and help the team prioritize where effort yields the most impact.
- You communicate clearly about progress, risks, and tradeoffs, and your own outcomes, following issues through to resolution and validating that you've met the customer's needs.
- You are motivated by building software that supports real users doing complex, high-stakes scientific work.
- You adapt well as priorities and focus areas shift, and you collaborate effectively with engineers inside and outside your direct team.
- 7+ years of professional software engineering experience building and owning production systems, including demonstrated end-to-end ownership of features or epics, OR
- 5+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.
Depth in several of the following, with the ability to make and improve system- and architecture-level decisions:
- TypeScript, React, Material-UI, Vega
- Python 3, SQLAlchemy
- RESTful API design
- AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena)
- Relational databases (e.g., PostgreSQL), including schema and query design
- Pandas
- PyTorch or other ML frameworks (nice to have, not required)
Total Rewards
The salary estimated for this position is $198,00 - $215,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
What BigHat Offers:
- Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
- Dental, and vision coverage through Guardian
- Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
- 401(k) with company match
- DTO, two weeks of company-wide shutdown, and 12 company holidays
- Paid parental leave
About
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.BigHat is a Series B biotech outside San Francisco with a team-oriented, inclusive, and family-friendly culture. Our broad pipeline of wholly-owned and partnered therapeutic programs span many disparate indications with high unmet need, such as cancer, inflammation, and infectious disease. BigHat has raised >$100M from top investors, including Section 32, a16z, and 8VC.
Skills Required
- 7+ years professional software engineering experience or 5+ years with biotech/life sciences/scientific software experience
- Track record of owning features and epics end-to-end in production
- Subject-matter expert in at least one significant technical area
- Experience with TypeScript, React, and Material-UI
- Experience with Vega
- Python 3
- SQLAlchemy
- RESTful API design
- AWS experience (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena)
- Relational databases (e.g., PostgreSQL) including schema and query design
- Pandas
- PyTorch or other ML frameworks
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The Company
What We Do
BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases. BigHat is backed by Section 32, Andreessen Horowitz, 8VC, Amgen Ventures, Bristol Myers Squibb, Quadrille, Grids Capital, AME Cloud Ventures, Innovation Endeavors and Gaingels.
