Senior Software Developer – Artificial Intelligence

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, Life Sciences, Healthcare TechnologyIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have equivalent experience. They must demonstrate proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. A strong understanding of data ethics and AI bias is also required.

Responsibilities

The Senior Software Developer – AI will gain a deep understanding of business processes to identify opportunities for AI-driven automation, develop proof of concepts (POCs) to demonstrate feasibility, secure business approval for AI-driven initiatives, and implement AI solutions at scale globally. They will also promote AI-driven opportunities, address issues identified in deployed solutions, document work including solution and coding comments and release notes, and assist in developing or implementing new AI-driven solutions, processes, policies, or systems.

Skills

Neural Networks

Programming

Natural Language Processing (NLP)

Prompt Engineering

AI Tools and Frameworks

Data Ethics

AI Bias

Cross-functional Collaboration

Client-specific Customization

Endpoint Clinical

Provides interactive response technology for clinical trials

About Endpoint Clinical

Endpoint Clinical provides interactive response technology (IRT) systems designed for clinical trials. Their systems assist with various trial processes such as managing drug supplies, randomizing patients, and scheduling visits. These systems are user-friendly and cater to clients in the life sciences sector, including pharmaceutical and biotechnology companies. Endpoint Clinical differentiates itself by focusing on ease of use and integration with other clinical trial management systems, ensuring that clients can streamline their processes and maintain regulatory compliance. The company's goal is to enhance the efficiency and transparency of clinical trials, allowing sponsors to conduct their research more effectively.

San Francisco, CaliforniaHeadquarters

2009Year Founded

$1.7MTotal Funding

DEBTCompany Stage

Enterprise Software, HealthcareIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Emerging IRT providers with cost-effective solutions threaten Endpoint Clinical's market share.

Rapid AI advancements may outpace Endpoint Clinical's current technology offerings.

Decentralized trials could reduce demand for traditional IRT systems, impacting Endpoint's model.

Differentiation

Endpoint Clinical offers user-friendly IRT systems for clinical trial management.

The company specializes in drug supply management, patient randomization, and visit scheduling.

Endpoint Clinical collaborates with THREAD and Berlinger for integrated clinical trial solutions.

Upsides

Increased adoption of DCTs boosts demand for flexible IRT systems like Endpoint Clinical's.

AI integration in clinical trials offers Endpoint opportunities for advanced analytics.

Personalized medicine trends require sophisticated IRT solutions, benefiting Endpoint Clinical.

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