Remote Jobs at TetraScience

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.

Candidates should thrive on collaboration with engineers, managers, designers, user researchers, executives, and customers, relentlessly striving to excel in their craft and taking pride in their work. They should possess the humility and confidence to not be the smartest person in the room, consistently seeking understanding and clarity, and not be afraid to ask questions.

Candidates should possess 8+ years of experience in software development, specifically within data engineering, data warehousing, or data analytics companies and teams. They must have expertise in designing and implementing complex, scalable data pipelines and ETL services, along with expert-level proficiency in Python, Java, and Typescript. Furthermore, they require extensive experience with cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functio…

Candidates should possess a Bachelor's degree in Marketing, Business, or a related field, along with at least 10 years of product marketing experience, specifically within the data or scientific technology industries. Demonstrated experience in defining and launching complex products, coupled with a deep understanding of pricing, promotion, and partner strategies, is essential. Strong cross-functional collaboration skills and a results-oriented approach are also required.

Candidates must possess a PhD and have 15+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. A proven track record of defining and implementing AI/ML-driven use cases in productized environments is required, along with experience collaborating with cross-functional teams.

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related technical field, along with a minimum of 5 years of experience in a technical account management or customer success role, preferably within the scientific data or AI cloud space. Strong technical acumen, particularly in data architecture, cloud computing, and scientific workflows, is essential. Experience with pharmaceutical and biotech industries is highly desirable.

Candidates should possess a Bachelor’s degree in a relevant technical field, such as Computer Science, Information Technology, or a related discipline, and have at least 5 years of experience in a technical account management or customer success role. Strong technical acumen, particularly in data science, cloud computing, and scientific data platforms, is essential. Experience working with pharmaceutical or biotech customers is highly preferred.

Candidates are required to have 5+ years of experience in a sales role within Cloud Data and Life Sciences software, with experience translating complex data platform capabilities (ingestion, harmonization, orchestration, and AI/ML enablement) to enterprise customers. They should be experienced in closing $1M+ SaaS sales opportunities and possess a thorough understanding of the entire sales cycle, including prospecting, qualifying, presentation, demonstration, proof of concept, negotiation, and …

Candidates should possess 5+ years of experience in a sales role within Cloud Data or related Life Sciences software, with experience selling and translating complex data platform capabilities (ingestion, harmonization, orchestration, and AI/ML enablement) to enterprise customers. They must have a proven track record of closing $1M+ SaaS sales opportunities and the ability to grow accounts into 8-figure opportunities.

Candidates should possess an advanced degree in Biological, Data, or Computer Science, along with a minimum of 10 years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments. A portfolio demonstrating end-to-end ownership of AI/ML products is required, alongside a proven track record of deploying AI models addressing real-world problems. Superior talent in developing at least one of ML-Reinforcement Learning, LLM/N…

Candidates are required to possess over 5 years of experience leveraging Python for scripting, automation, data analysis, data engineering, and/or data science, along with over 3 years in life sciences, either through bench work in Biopharma, bioinformatics, or within a vendor space. Applicants should demonstrate a passion for science and a commitment to building solutions that make data more accessible to end-users, coupled with intellectual curiosity and resilience. Excellent communication ski…

Candidates should have 7+ years of professional experience in software engineering and infrastructure engineering. Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management is required. Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK, is necessary. Expert-level coding skills in TypeScript and Python building robust APIs and backend services are essential. Production-level experience with…

A PhD with 7+ years or a Master's degree with 10+ years of industry experience in life sciences is required, along with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. A proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments is essential. Candidates must have collaborated with cross-functional teams, performed extensive exploratory data analysis and workflow optimiz…

Candidates must possess a PhD with 7+ years of industry experience in life sciences or a Master's degree with 10+ years of experience, including extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. A proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments is required. Experience collaborating with cross-functional teams, performing extensive exploratory data analysis, and…

Candidates must possess a PhD with 7+ years of industry experience or a Master's degree with 10+ years of experience in life sciences, specifically with domain knowledge in drug discovery, preclinical development, CMC, or product quality testing. A proven track record of defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments is essential. Experience collaborating with cross-functional teams, performing extensive exploratory data analysis, optimizing workf…