Benchling

Product Manager, Analytics

Benchling

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $153,000 - $207,000 per year

Job Level

SeniorLead

Tech Stack

PythonSQL

About the role

  • Lead the product vision and roadmap for scientific analytics capabilities, including dashboards, statistical computing, and data visualization.
  • Drive the development of an interactive dashboard and layout framework that enables scientists to create customizable, shareable analytical views with rich visualizations, statistical computations, and data exploration.
  • Own the analytics extensibility framework, working closely with Platform, Applications, and AI teams to ensure analysis capabilities can be leveraged across product areas and modalities.
  • Embed AI/ML into analytics workflows by delivering intelligent visualizations, statistical recommendations, and experiment-specific summaries.
  • Develop and expand pre-built analysis templates by partnering with field teams and customers to identify high-value assays and statistical methods, building toward a prebuilt content library that accelerates customer onboarding.
  • Lead data harmonization and scientific instrument adapter strategy, ensuring raw instrument data is transformed into analysis-ready, standardized formats (such as the Allotrope Simple Model), enabling consistent, automated analytics workflows and ensuring interoperability and extensibility of analytics frameworks.
  • Conduct extensive user research with scientists, biostatisticians, and data scientists to deeply understand analytics pain points, workflow requirements, and decision-making processes.
  • Collaborate with UX/UI designers to create intuitive, scientist-friendly interfaces for complex statistical analyses, ensuring accessibility for users with varying technical backgrounds.
  • Partner with engineering teams to prioritize features, define technical requirements, and deliver analytics capabilities that are performant, scalable, and reliable.
  • Define and track KPIs to measure product adoption, customer satisfaction, and the impact of analytics capabilities on accelerating scientific decision-making.

Requirements

  • 2+ years of proven experience in scientific data and analytics product development, with direct ownership of product vision, agile delivery, and cross-functional collaboration
  • 5+ years of experience in assay development and scientific experimentation, with a strong background in laboratory workflows and instrumentation, including building analytical data pipelines and performing computational analyses
  • Deep understanding of scientific data analysis workflows, including statistical methods, data visualization best practices, and tools commonly used in life sciences research (e.g., Prism, R, SQL, Python, Jupyter).
  • Passion for enabling scientific discovery through technology, with empathy for the challenges scientists face in data analysis and decision-making.
  • Comfort with ambiguity and strategic thinking, with the ability to balance long-term platform vision with near-term customer needs.
  • Outstanding communication and collaboration skills, with proven success working across engineering, design, data science, and go-to-market teams.
  • Excellent analytical and problem-solving skills, with comfort working with complex datasets, statistical concepts, and quantitative reasoning.
  • Experience with Agile/Scrum methodologies, with the ability to adapt quickly in a fast-paced, evolving environment.
Benefits
  • Competitive total rewards package
  • Broad range of medical, dental, and vision plans for employees and their dependents
  • Fertility healthcare and family-forming benefits
  • Four months of fully paid parental leave
  • 401(k) + Employer Match
  • Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
  • Mental health benefits, including therapy and coaching, for employees and their dependents
  • Monthly Wellness stipend
  • Learning and development stipend
  • Generous and flexible vacation
  • Company-wide Winter holiday shutdown
  • Sabbaticals for 5-year and 10-year anniversaries

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
scientific data analysisstatistical methodsdata visualizationanalytical data pipelinescomputational analysesAI/ML integrationdata harmonizationAllotrope Simple ModelKPI trackingassay development
Soft skills
cross-functional collaborationstrategic thinkingcommunication skillsproblem-solving skillsempathyadaptabilityuser researchteam leadershipcustomer focusanalytical thinking