Find BenchSci Senior Software Engineer software engineering jobs

BenchSci develops advanced biomedical artificial intelligence software platform to help scientists run more successful experiments.

BenchSci is revolutionizing life-saving research through their advanced biomedical AI platform. As a Senior R&D Engineer, you'll work directly with the Chief Science Officer to develop cutting-edge solutions in bioinformatics. The role combines machine learning expertise with biological sciences, impacting over 31,000 scientists worldwide. You'll design and implement ML models, optimize data pipelines, and work with state-of-the-art technologies including LLMs. The company, backed by prestigious investors including Google's AI fund, offers a remote-first culture with comprehensive benefits. BenchSci is recognized as a Great Place to Work® with a strong focus on diversity, equity, and inclusion. The position requires both technical expertise in Python, SQL, and ML, as well as domain knowledge in life sciences. You'll be part of a high-impact team working on meaningful problems at the intersection of AI and biotechnology. The role offers significant growth opportunities, competitive compensation, and the chance to contribute to accelerating scientific research and development. The company's culture emphasizes transparency, continuous learning, and personal development, making it an ideal environment for motivated professionals looking to make a difference in healthcare and biotechnology.

Senior R&D Engineer position at BenchSci, combining machine learning and bioinformatics to accelerate life-saving research through AI-powered solutions.

Senior R&D Engineer

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 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