BenchSci

Account Executive

• Lead high-value acquisition, negotiation, retention, and expansion efforts with a focus on enterprise-level accounts in the pharmaceutical and life sciences industries.
• Identify and evaluate strategic opportunities, guiding the sales team in effective lead generation and account targeting.
• Develop and execute quarterly account plans to align client needs with company objectives, ensuring measurable outcomes.
• Collaborate with Scientific Experts to deliver customized presentations and product demonstrations that address specific client challenges.
• Oversee all stages of the sales process, from prospecting to contract execution, ensuring efficiency and delivering exceptional outcomes.
• Maintain accurate, up-to-date CRM data and ensure adherence to sales best practices across the team.
• Provide timely updates on deal progress, pipeline growth, and revenue forecasting through CRM reports and executive summaries.
• Work closely with GTM (Go-To-Market) teams and other departments to develop innovative strategies that drive client success and account growth.
• Share expertise and mentor junior team members, fostering a collaborative and high-performing sales culture.

Senior Account Executive, Sales

Data Engineer

• Collaborate with Machine Learning, Full-stack engineers and Science to solve complex document mining challenges, helping us capture and model additional scientific experiments
• Scale data pipelines to allow our data to go from research to platform quickly and reliably
• Work with sources that contain both semi-structured and unstructured data
• Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment
• Architect and maintain robust data pipelines that ingest diverse sources and utilize LLMs for high-fidelity entity extraction into structured formats
• Implement evaluation frameworks to monitor the accuracy, drift, and hallucination rates of extraction models within the production pipeline.
• Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
• Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
• Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects
• Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility
• Challenge the status quo and propose newer technologies or ways of working

Software Data Engineer

Full-stack Engineer

• Drive Infrastructure-as-Code: Design, provision, and maintain cloud-native infrastructure using Terraform and Kubernetes.
• Modernize Identity Infrastructure: Architect a modular Terraform-based system for Auth0 and refactor environment-specific secret management.
• Build Internal Platforms: Create tools and abstractions that improve the developer experience and automate the software development lifecycle.
• Ensure Security & Compliance: Implement "least privilege" access controls and robust secrets management (GCP Secret Manager) across all environments.
• Scale Cloud Operations: Monitor, troubleshoot, and optimize high-traffic systems, participating in an on-call rotation to ensure 99.9% availability.
• Mentor & Collaborate: Work closely with application teams (starting with Auth) to propagate infrastructure best practices across the organization.

Senior Software Engineer, Auth/Core Infrastructure

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 Account Executive, Sales

Software Data Engineer

Senior Software Engineer, Auth/Core Infrastructure

Senior Machine Learning Engineer – Omics, Graph Intelligence