Lead Software Engineer
AnimaSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Data ManagementIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have a minimum of 7 years of experience in software engineering, with a strong focus on developing and maintaining high-quality software solutions. Demonstrated experience in designing and implementing scalable software architectures and working with cross-functional teams is essential.
Responsibilities
The Senior Software Engineer will be responsible for developing and maintaining high-quality software solutions that enable scientists and researchers to leverage and analyze complex datasets, working closely with cross-functional teams to understand user requirements and ensure the reliability and performance of the software products. They will also contribute to the design and implementation of foundational services, including data pipeline processing, search functionality, user management, and ML infrastructure, and collaborate on Generative AI applications to advance scientific use cases, while adhering to Agile software development methodologies.
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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