TetraScience

Senior Software Engineer

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Data ManagementIndustries

Senior Software Engineer

Employment Type: Full-time Location Type: Remote

Position Overview

TetraScience is seeking a talented Senior Software Engineer to join our team. In this role, you will be responsible for developing and maintaining high-quality software solutions that enable scientists and researchers to leverage and analyze complex datasets. You will work closely with cross-functional teams to understand user requirements, design and implement scalable software architectures, and ensure the reliability and performance of our software products.

About TetraScience

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.

Please review the Tetra Way letter, authored directly by our co-founder and CEO, Patrick Grady, to understand our values and ethos. This document is critical for assessing fit.

Who You Are

You are dedicated to mastering your craft and driven by a passion for innovation. You are an inventor, committed to continually enhancing both your deliverables and the processes by which you deliver them. You take full ownership of all aspects of software development, ensuring the highest quality outcomes. You exhibit curiosity and a relentless pursuit of understanding and clarity. You view every interaction as a chance to learn and grow. Balancing humility with confidence, you focus on elevating those around you and contributing to the collective success of your team.

Responsibilities

  • Join the TetraScience engineering team to develop a cutting-edge application for our customers.
  • Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features.
  • Work on ML infrastructure and Generative AI applications to advance scientific use cases.
  • Build and deliver high-quality products using Agile software development methodologies.
  • Collaborate with the product management team to transform vision and ideas into tangible results.
  • Work with a geographically distributed team across various time zones.
  • Engage in continuous learning, growth, and professional development.
  • Articulate your vision to peers and leadership, while being open to constructive feedback and maintaining resilience.

Requirements

  • Strong proficiency (7+ years) in Node.js, TypeScript, and Python.
  • Over 7 years of experience with Amazon Web Services (AWS).
  • Extensive experience with databases, including relational, NoSQL, and data platform infrastructure.
  • Experience with big data distributed systems, such as Databricks, Snowflake, AWS EMR, Glue, and other lakehouse technologies.
  • Proven track record with large-scale data distributed systems.
  • Excellent verbal, written, and presentation skills.
  • Bachelor’s degree in Computer Science or a related field.

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).

Skills

Software Development
Data Analysis
Scalable Software Architectures
Software Performance
Software Reliability

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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