BenchSci develops biomedical artificial intelligence software platform to help scientists run more successful experiments in life-saving research and development.

BenchSci is revolutionizing life-saving research through their advanced biomedical AI platform, backed by major investors including Google's AI fund. As a Lead Software Engineer in Data, you'll join the Webapps Team to evolve data models, improve internal tooling, and build robust data store abstractions. The role combines technical leadership with hands-on coding, focusing on scaling data pipelines and solving complex document mining challenges. You'll work in a remote-first culture that values diversity, transparency, and continuous learning, while contributing to meaningful scientific discoveries. The position offers comprehensive benefits, equity, and professional growth opportunities, making it ideal for experienced engineers passionate about impacting healthcare through technology. The company's strong culture, backed by its certification as a Great Place to Work®, ensures a collaborative and supportive environment focused on driving meaningful impact in life sciences research.

Lead Software Engineer, Data position at BenchSci, focusing on evolving data models and building data infrastructure for biomedical research AI platform.

Lead Software Engineer, Data

BenchSci develops advanced biomedical artificial intelligence software platform to help scientists accelerate life-saving research and development.

BenchSci is revolutionizing life-saving research and development through their advanced biomedical AI platform. As a Senior Machine Learning Engineer on the Knowledge Enrichment team, you'll be at the forefront of analyzing and extracting insights from complex biomedical data using cutting-edge ML techniques. The role combines expertise in graph machine learning, NLP, and biological knowledge graphs to enhance BenchSci's core platform.

Working alongside top minds in tech, you'll develop sophisticated ML solutions that directly impact drug discovery acceleration. The position offers the opportunity to work with state-of-the-art ML/AI approaches, including Large Language Models and Graph Neural Networks, while collaborating with cross-functional teams of scientists, product managers, and engineers.

BenchSci, backed by prestigious investors including Google's AI fund and Generation Investment Management, serves 16 of the top 20 pharmaceutical companies and over 4,300 academic centers. The company offers a strong culture focused on transparency, continuous learning, and personal growth. They're committed to diversity and inclusion, providing an environment where people from all backgrounds can thrive.

This role is perfect for someone who combines deep ML expertise with a passion for impactful scientific work. You'll have the freedom to push boundaries, challenge the status quo, and directly contribute to accelerating scientific discovery. The remote work setting offers flexibility while maintaining strong collaborative opportunities with high-impact teams.

Senior Machine Learning Engineer position at BenchSci, focusing on graph ML and biomedical data analysis to accelerate drug discovery through AI-powered solutions.

Senior Machine Learning Engineer - Graph ML

BenchSci is a company that leverages machine learning and AI to analyze and extract knowledge from complex biomedical data, enhancing their knowledge graph for scientific research.

BenchSci is seeking a Lead Machine Learning Engineer to join their Knowledge Enrichment team. This role involves designing and implementing ML-based approaches to analyze, extract, and generate knowledge from complex biomedical data. You'll work with experimental protocols and results from various sources, including public and proprietary data, represented in unstructured text and knowledge graphs.

Key responsibilities include:
- Analyzing and manipulating a large biological knowledge graph
- Developing knowledge enrichment strategies
- Providing solutions for classification, clustering, and relationship discovery
- Delivering robust, scalable ML models
- Architecting ML solutions from data collection to deployment
- Collaborating with cross-functional teams
- Providing technical leadership on Knowledge Enrichment projects
- Ensuring adoption of ML best practices

Requirements:
- 8+ years of experience as an ML engineer in industry
- Technical leadership experience
- Advanced degree (preferably PhD) in Software Engineering, Computer Science, or related field
- Expertise in NLP, ML techniques, and frameworks (especially Python and PyTorch)
- Experience with Large Language Models and Retrieval Augmented Generation (RAG)
- Expertise in graph machine learning and knowledge graphs
- Strong problem-solving skills and attention to scalability and performance

This role offers an opportunity to work on cutting-edge ML/AI projects in a fast-paced, value-driven environment, contributing to the advancement of biomedical research through innovative data analysis and knowledge enrichment techniques.

Lead Machine Learning Engineer role at BenchSci, focusing on knowledge enrichment in biomedical data using advanced ML techniques.

Lead Machine Learning Engineer (Knowledge Enrichment)

BenchSci develops SaaS products that help scientists save time and increase their experiment quality.

BenchSci is seeking a Senior Software Engineer to join their Authentication & Authorization team. This role offers an exciting opportunity to work on cutting-edge SaaS products that are revolutionizing scientific research. As a key member of the team, you'll be responsible for designing, implementing, and maintaining secure authentication and authorization systems.

Reporting to the Engineering Manager, you'll leverage your technical expertise to drive design discussions, conduct code reviews, and lead project-related team meetings. Your work will directly impact scientists by helping them save time and improve their experiment quality.

Key responsibilities include implementing new features and bug fixes, conducting technical investigations, and creating solution designs with automated tests. You'll also play a crucial role in authoring engineering design proposals that align with BenchSci's product roadmap.

This position requires a deep understanding of business context and team goals, allowing you to make independent technical decisions when faced with open-ended requirements. You'll be expected to proactively identify new opportunities and advocate for improvements to current projects.

BenchSci values high standards of scalable and maintainable code, and you'll be instrumental in upholding and enhancing these standards. As a senior team member, you'll help set the bar for engineering excellence and contribute positively to the team's culture.

This role offers an unparalleled opportunity for accelerated growth within a team of world-class engineers. You'll be working on projects involving some of the largest pharmaceutical companies globally, solving complex problems and bringing fresh perspectives to the team.

The ideal candidate will have a degree in Computer Science, Engineering, or a related scientific field, along with experience in cloud platforms, authentication solutions, and SSO. Proficiency in Python back-end and React/TypeScript front-end development is crucial, as is a minimum of 4 years of experience as a professional full-stack developer.

While not mandatory, experience with Auth0 or similar IDaaS platforms, a security-first mindset, knowledge of Infrastructure as Code tools, and familiarity with SAML, OAuth 2.0, and OpenID Connect would be highly advantageous.

Join BenchSci and be part of a team that's making a significant impact in the world of scientific research through innovative technology solutions.

Senior Software Engineer role at BenchSci, focusing on Authentication & Authorization for SaaS products in scientific research.

Senior Software Engineer, Authentication & Authorization

BenchSci develops software as a service (SaaS) products that help scientists save time and increase their experiment quality.

We are currently looking for a Senior Full Stack Engineer to join our growing Web Applications team. Reporting to the Engineering Manager, you'll work on complex projects, actively contribute to Conversational AI, back-end and front-end initiatives, and grow along with other engineers as you develop solutions for our software as a service (SaaS) products that help scientists save time and increase their experiment quality.

Key Responsibilities:
- Implement new features and bug fixes as part of a larger cross-functional team
- Work within a team of 4-6 full-stack engineers on technical investigations, solution designs, code implementation, and reviews
- Lead or consult on engineering design proposals
- Make independent technical decisions based on business context and team goals
- Identify and implement improvements to current projects
- Maintain high standards of scalable and maintainable code
- Help set a high standard for exceptional engineers and improve team culture
- Provide timely troubleshooting analysis and resolution
- Work on projects involving some of the largest pharmaceutical companies

Requirements:
- Degree in Computer Science/Engineering or related scientific field
- High comfort with Python back-end and React/Typescript front-end
- 4+ years of experience as a professional full-stack developer
- Solid understanding of relational databases and SQL
- Experience with cloud platforms (AWS, GCP, Azure)
- Excellent communication and collaboration skills
- Strong problem-solving and analytical skills
- Experience with Frontend and Backend testing frameworks
- Strong understanding of Python and Typescript type systems

Nice-to-have qualifications:
- Experience with Conversational AI and RAG solutions
- Experience with authentication solutions and SSO
- Experience with FastAPI, Data Pipelines, and DevOps practices
- Ability and willingness to mentor other engineers

This role offers an unmatched opportunity for accelerated growth and learning from a team of world-class engineers in a company working with some of the largest pharmaceutical companies globally.

Senior Full Stack Engineer position at BenchSci, developing SaaS products for scientists, focusing on Python, React, and cloud technologies.

Senior Full Stack Engineer

BenchSci empowers scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.

BenchSci is seeking a Staff Machine Learning Engineer to join their platform architecture team. This role offers an opportunity to apply state-of-the-art ML to shape the future of scientific discovery, directly impacting BenchSci's mission to exponentially increase the speed and quality of life-saving research and development.

Reporting to the Head of the Platform Architecture Group, you will:
- Work on complex ML architectures (model and data pipeline level)
- Be responsible for high-level design of end-to-end technical solutions
- Collaborate closely with ML teams, providing guidance and mentorship
- Set technical direction throughout the ML Development Lifecycle
- Design ML Architecture across multiple teams for robust, scalable solutions
- Write, review, and approve ML and Data technical documentation
- Contribute to the ML and Data roadmap
- Improve workflows with latest optimizations in libraries like PyTorch
- Own ML solutions and long-term technical investments
- Lead technical design discussions and apply best practices
- Promote coding guidelines and raise the bar for code quality
- Provide guidance to senior engineers and foster continuous growth
- Work cross-functionally with stakeholders including R&D scientists

Requirements:
- 8+ years of professional experience in ML, with 2+ years at Staff Engineer level
- Strong experience with NLP, LLMs, Python, and PyTorch
- Track record of delivering robust, scalable ML models
- Experience with full ML development lifecycle
- Expertise in data manipulation, Cloud solutions, and MLOps
- Strong communication and collaboration skills

BenchSci offers a comprehensive benefits package, including equity options, vacation policy, health benefits, learning budget, and more. The company is backed by major investors and serves top pharmaceutical companies and academic centers. BenchSci values diversity, equity, and inclusion, fostering a culture of continuous learning and personal growth.

Join BenchSci to work on high-impact projects with skilled experts, driving innovation in life-saving research and development.

Staff Machine Learning Engineer position at BenchSci, focusing on NLP and LLMs to accelerate life-saving research and development.

BenchSci Engineering Jobs

BenchSci develops biomedical artificial intelligence software platform to help scientists run more successful experiments in life-saving research and development.