BenchSci

Machine Learning Engineer

• Build and deploy machine learning models over omics data (e.g. genomics, transcriptomics, proteomics, epigenomics, and multi-omics), capturing biological structure, variability, and experimental context.
• Work with major omics and biomedical databases (e.g. gene, protein, pathway, interaction, and expression resources) to integrate heterogeneous biological signals into unified learning pipelines.
• Develop and apply foundation models for biological data, including sequence-based, expression-based, and multi-modal models, adapting them to downstream scientific and product use cases.
• Design ML systems that populate, enrich, and reason over a biological knowledge graph, connecting entities such as genes, proteins, pathways, phenotypes, diseases, and experimental evidence.
• Apply graph-based methods tailored to biology, including graph embeddings, message passing, and network-aware learning, to model molecular interactions and biological systems.
• Collaborate with BenchSci’s Science team to ensure models reflect biological constraints, experimental design, and domain nuance, not just statistical patterns.
• Power downstream experiences by surfacing insights through semantic search, recommendation, and conversational AI / chat-based scientific assistants.
• Improve scalability, robustness, and interpretability of models operating on large, sparse, noisy, and biased omics datasets.
• Lead technical decision-making within the ML team, mentor other engineers, and help define best practices for applied ML in biomedical settings.
• Own projects end-to-end, from data exploration and model prototyping to production deployment and monitoring.
• Continuously improve the performance and scalability of ML models that are at the core of BenchSci’s products
• Regularly investigating what technologies will best enable BenchSci to effectively generate use cases
• Advocate for code and process improvements across yourteam, and help to define best practices based on personal industry experience and research
• Participate in sprint planning, estimation and reviews. Take ownership of deliverables, and work with teammates to ensure high-quality deliverables

Senior Machine Learning Engineer – Omics, Graph Intelligence

Full-stack Engineer

• Put your evolving full stack engineering skills to use as you work closely with team members across various engineering teams to solve complex product challenges
• Work with others as you design testable, scalable solutions to challenging problems using the latest frameworks and tools
• Build out features from product design and architecture to launch, under the guidance of our Tech Leads and Engineering Managers
• Employ best practices for a broad platform of technologies within a cloud-based environment
• Manage your code by troubleshooting, debugging, and fixing issues
• Solve difficult problems, provide an alternate viewpoint, and bring new perspectives to the team
• Be given an unmatched opportunity for growth and development, and to learn from a team of outstanding engineers

Senior Software Engineer – Gen AI, Web Apps

Human Resources

• Collaborate across the HR team to support the rollout, testing, and execution of HR processes and cross-functional initiatives as BenchSci evolves.
• Identify process gaps and proactively recommend operational improvements that enhance accuracy, speed, scalability, and the overall employee and manager experience.
• Refine and automate core HR workflows to reduce manual work and increase reliability.
• Drive the review and creation of HR policies, ensuring they balance compliance requirements while remaining clear, approachable, and culture-aligned.
• Support the delivery of HR reporting, transforming data into actionable analytics and insights that drive business outcomes.
• Manage the end-to-end process of employee leaves and accommodations, acting as an expert to guide employees and managers to create a seamless transition.
• Partner with HR leadership to ensure compliance across programs, global employment requirements, and evolving legislation — raising risks early and supporting smooth implementation.
• Support the operational delivery of and updates to Total Rewards programs — including compensation and equity.
• Maintain compensation bands, job architecture, and supporting tools, keeping documentation clean, up to date, and easy for managers to use.
• Own the execution of our annual compensation cycles — including salary reviews and equity refreshers — ensuring accuracy, consistency, and an excellent user experience.
• Support global mobility and complex employment cases, coordinating with external vendors and EORs to ensure a compliant, seamless employee experience.

Senior HR Generalist

• Utilize the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks.
• Design and develop backend systems and APIs that expose bioinformatics data to power application roadmaps.
• Implement advanced search and retrieval mechanisms (RAG), to provide (LLMs) with up-to-date grounded information, tune storage technologies and create high-performance query plans.
• Design solutions and adapt existing approaches to resolve issues, contributing to web app architecture and interfaces.
• Operationalize production-grade data pipelines using processing engines like Apache Beam to move data from research to platform efficiently .
• Collaborate with other engineers to solve document extraction, enrichment, retrieval challenges, capturing and modeling scientific experiments from unstructured sources.
• Perform troubleshooting analysis and resolution for production issues in a timely manner, ensuring code is testable, self-documenting, and reliable.
• Communicate cross-cutting decisions to all potentially impacted teams.
• Work on client-facing projects involving some of the largest Pharmaceutical companies in the world
• Balance working independently on core tasks while proactively identifying when collaboration or help is needed for high-complexity architectural shifts.

Software Engineer, Data & Retrieval

• Develop and ship new features and bug fixes within a cross-functional team of data engineers, PMs, and AI scientists.
• Collaborate closely with your immediate team (3–5 engineers) on technical investigations, solution designs, and high-quality code implementation.
• Build and maintain robust web applications that integrate with LLMs and generative AI workflows.
• Write clean, tested code that adheres to our standards for scalability and maintainability.
• Participate in code reviews, providing and receiving constructive feedback to ensure high engineering quality.
• Assist in troubleshooting and resolving production issues in a timely and efficient manner.
• Contribute to projects serving some of the world’s largest pharmaceutical companies, ensuring data security and reliability.
• Actively learn from world-class engineers to rapidly accelerate your technical and professional growth.

Software Engineer – Gen AI, Web Apps

System Administrator

• Act as a senior technical escalation point for complex systems, identity, and infrastructure issues
• Partner with IT leadership on infrastructure planning, tool selection, and architecture decisions
• Mentor and support other IT team members, helping raise the overall technical bar
• Balance hands-on execution with forward-looking improvements, automation, and reliability initiatives
• Use AI-assisted tools and workflows to accelerate automation, improve reliability, and reduce manual operational effort
• Design and implement automation for user provisioning, device setup, patching, and compliance reporting
• Build and maintain integrations between SaaS tools using APIs, scripting, and workflow automation platforms (e.g., Okta Workflows, Zapier, etc).
• Improve self-service and ticketing workflows (Foqal) to reduce manual effort and increase reliability
• Manage endpoint lifecycle and configuration using tools like JAMF and Microsoft In tune
• Help evolve our identity and access management environment (Okta, Google Workspace, and Microsoft Entra) with a focus on automation, security, and scalability
• Strengthen authentication and authorization practices, including SAML, SCIM, and OIDC integrations
• Contribute to endpoint security, vulnerability remediation, and systems hardening efforts using CrowdStrike, threat detection, and event monitoring and alerting
• Partner with Security and Compliance teams on audits, evidence collection, and control implementation
• Support and troubleshoot Meraki network infrastructure, VPNs, VLANs, and firewall configurations
• Monitor performance and reliability across various systems, addressing issues proactively
• Participate in cloud and hybrid infrastructure initiatives as the environment grows
• Stay actively involved in IT support tickets, providing high-quality, timely support and setting the standard for service excellence
• Support employees in the office with hardware setup, troubleshooting, and day-to-day technology needs
• Maintain and manage office hardware, conference room AV, and live stage production equipment to ensure a reliable in-office experience
• Handle laptop provisioning, replacements, repairs, and inventory as part of a well-run hardware lifecycle program
• Look for patterns in support issues and translate them into automation, documentation, or system improvements
• Lead IT projects from discovery through deployment, ensuring clear documentation and change management
• Maintain accurate system documentation, runbooks/SOPs, and disaster recovery plans
• Use metrics and post-incident reviews to continuously improve reliability, service quality, and employee experience

Senior Systems Administrator

Product Designer

• Deliver design solutions for projects of medium-sized scope and complexity, working largely independently.
• Deliver designs for all stages of product development as needed (user flows, wireframes, mockups, AI-generated and interactive prototypes, handover specifications, journey maps) that meet or exceed user needs and have a sense of craftsmanship.
• Embrace and advance AI-first design practices, using generative AI and rapid prototyping tools to accelerate exploration, test assumptions early, and push the boundaries of what's possible in our product experience.
• Go beyond best practices in your design solutions, uncovering novel and unexpected yet viable solutions.
• Guide the UX direction in your product area by familiarizing yourself with user problems for your product area, business goals, and mapping the relevant user journeys.
• Collaborate with Product Managers, UX Researchers, Scientists, and Engineers to execute on tasks, align on problem spaces, and deliver impactful, feasible solutions.
• Apply data-informed design decisions using qualitative research, analytics, and experimentation to improve product outcomes.
• Elevate product quality by contributing to and upholding design systems, documentation, and pattern guidelines.
• Identify proactively instances where patterns, product consistency, and UX quality break down within the product, and engage additional senior design members to collaboratively determine scalable solutions for these issues.
• Present clear, compelling design narratives, leveraging AI tools to rapidly prototype concepts and communicate design intent to facilitate team and stakeholder alignment on design solutions.