Remote Jobs at TetraScience

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 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 must possess 10+ years of UX design experience, with at least 3 years leading AI/ML-powered enterprise platforms in life sciences, healthcare, or regulated environments, and a portfolio demonstrating end-to-end ownership of scientific interfaces including complex data visualization, AI interface design, and workflow optimization for non-technical users. They should have proven ability to influence product strategy by translating scientific workflows into AI interaction patterns, exper…

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 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 must possess 10+ years of experience in companies delivering products for B2B or B2C customers, along with 5+ years of managing an engineering team and being responsible for a feature and infrastructure roadmap. They should demonstrate a proven ability to lead and mentor a team of engineers, fostering a collaborative and high-performing culture, and have extensive knowledge of UI performance optimization techniques, including lazy loading and asynchronous code execution. Advanced know…

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 are required to possess 10+ years of experience with software lifecycle management, qualification, and validation testing regimens.

Candidates should possess 15+ years’ experience designing and building highly scalable, data platforms, significant experience with AWS, Services-Architecture and web-scale design patterns, a proven track-record of success developing product strategy within a start-up environment, hands-on experience in building Platform Architecture and Microservices / Containe, and demonstrated ability to drive architectural vision for a company or highly scalable line of products.

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, 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. The candidate must have experience collaborating with cross-functional teams, performing extensive exploratory data analysis and workfl…

Candidates must have over 3 years of experience in Python and SQL and possess a PhD degree in biology, chemistry, or a related field. Extensive wet lab experience, particularly with HPLC and Mass Spec, and familiarity with specific LC instrument software from Waters, Thermo Fisher, Cytiva, Shimadzu, Sciex, or Agilent are required. Experience with data plotting and dashboarding tools like Streamlit, Tableau, or Jupyter Notebook is a plus. Excellent communication, attention to detail, confidence, …

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. Proven experience in defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments is essential. Candidates must have a track record of collaborating with cross-functional teams, performing exploratory data analysis, optimizing workflows, eng…

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…