Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Biology, C Programming Language, C++ Programming Language, Computer Programming, Computer Science, Customer Support/Service, Data Science, Detail Oriented, Healthcare, Interpersonal Skills, Java, JavaScript, Machine Learning, Mathematics, Microsoft .NET, Microsoft C# (C Sharp), NoSQL, Physics, Problem Solving Skills, Programming Languages, SQL (Structured Query Language), SQL Databases, Software Engineering, Software as a Service (SaaS), Statistical Modeling, Statistics, Web Programming
Job Description:
Job Title: Full Stack Software Engineer / Machine Learning Engineer
Job Type: Contract
Duration: 6 Months
Expected to work immediately at 30 - 40 / hrs for the first 2-3 months, then variable thereafter
100% Remote role
Overview:
We are looking for candidates to build a new generation of web-based SaaS tools. You will work directly with Life Sciences clients to structure problems and build new tools to solve those problems alongside our tight-knit group of developers, data scientists, and product managers. A blend of people skills, coding knowledge, and a rigorous understanding of statistical analysis and modeling are considered essential for the job.
We are focused on building best-in-class solutions that are elegant, real-time, and data-focused. As such, this role will require you to develop, pilot, and deploy new products that meet the needs of our customers and the life sciences industry. You will work directly with individuals with 10+ years of experience in the industry, and report to the Software Lead for delivering those products.
Must have:
- Up to 4 years of experience in full stack web application development
- Experience in one or more programming languages (JavaScript, C#, .Net, Java, or C / C++)
- Experience with AI based coding tools (Cursor, Claude Code, etc.) and AI techniques like Retrieval Augmented Generation (RAG), AI Agents, fine-tuning, Advance Prompt Engineering and GraphRAG
- Knowledge of SQL or no-SQL databases (or be willing to learn)
- Direct experience in building tools or models that help customers make better decisions using data and structured methodologies
- Strong analytical abilities. You enjoy absorbing large amounts of data, learning new programming languages, or building quantitative insights based on an understanding of complex systems
- Intellectual curiosity, discipline and attention for structure and details
- Interest in life sciences / healthcare
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, relevant technical field, or equivalent practical experience
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