Solution Consultant – IT, Data Science

Description:

Identify IT & Data Science Pain Points and Define Key Success Metrics: Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in addressing those challengesEngage with Solutions Consulting Peers: Work closely with R&D and Business Value solutions consultants to ensure cohesive and comprehensive solutions are presented to customers, addressing both scientific and strategic business needsDesign and Showcase IT Integrations and Data Pipelines: Architect and demonstrate cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP) and develop data pipelines to facilitate data sharing, analysis, and reporting for data science teamsCollaborate on Data Science Focused Features: Partner closely with engineers and product managers to define, prioritize, and execute on new Benchling features and integrations that specifically address the requirements of data scientists and bioinformaticiansEnable Complex Enterprise Deployments with IT & Data Science Focus: Collaborate with Professional Services and Customer Success teams to ensure successful and scalable rollouts of Benchling at large enterprise customers, with a specific focus on integrating with their existing IT infrastructure and enabling data science (AI/ML) workflowsDevelop Targeted Messaging for IT & Data Science Audiences: Partner with Sales and Marketing to develop compelling pitches and materials that highlight Benchling’s value proposition for IT departments and Data Science teams within the evolving biotechnology landscapeContribute to IT & Data Science Best Practices and Product Development: Participate in and contribute to initiatives focused on developing best practices for integrating Benchling within complex IT environments and shaping the product roadmap to better serve the needs of IT and data science users

Requirements:

Bachelor’s degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred).5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space, including experience in developing or working with APIs in Python or R.Excellent at listening to diverse stakeholders (including IT professionals, data scientists, and scientists) and expressing technical ideas clearlyGreat at understanding the needs and challenges of both technical and scientific users, and quickly grasping complex scientific and technical conceptsProven ability to partner effectively with engineering and security teams to solve challenging technical problems related to software integration, data pipelines, and system architecture.Curious, creative, and tenacious, with a passion for leveraging technology to solve complex problems in life sciencesExcited to collaborate with customers as a trusted technical advisorAbility to travel approximately 20%

Benefits:

Competitive salary and equityBroad range of medical, dental, and vision plans for employees and their dependentsFertility healthcare and family-forming benefitsFour months of fully paid parental leave401(k) + Employer MatchCommuter benefits for in-office employees and a generous home office set up stipend for remote employeesMental health benefits, including therapy and coaching, for employees and their dependentsMonthly Wellness stipendLearning and development stipendGenerous and flexible vacationCompany-wide Winter holiday shutdownSabbaticals for 5-year and 10-year anniversaries