Find BenchSci Senior Software Engineer software engineering jobs

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.

BenchSci Senior Software Engineer Software Engineering Jobs

Find BenchSci Senior Software Engineer software engineering jobs