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Entry Level Computer Science Startup Jobs in New York

ConsultAdd, Inc.

Software Developer

New York, NY

... (Entry Level/Experienced) The Candidates who are in CPT /OPT or any Engineering/Sciences or all ... Ability to succeed in a collaborative, startup-like environment. Responsibilities: * Work with ...

LiveRamp

Co-Op, Data Science

New York, NY

$31 - $49/hr

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

Capital One

Principal Data Scientist

New York, NY

... Science Data is at the center of everything we do. As a startup, we disrupted the credit card ... Computer Science, or a related quantitative field) plus 5 years of experience performing data ...

Primesoft consulting

Business Analyst

Piscataway, NJ · On-site

... entry level candidates with Business Analyst skills are encouraged to apply. Candidates Qualification: * Masters Degree in Computer Science, Engineering or similar field. * Knowledge of Business ...

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Entry Level Computer Science Startup information

What is the difference between Entry Level Computer Science Startup vs Entry Level Software Developer?

AspectEntry Level Computer Science StartupEntry Level Software Developer
Required CredentialsBachelor's in CS or related field, internshipsBachelor's in CS or related field, internships
Work EnvironmentFast-paced, innovative startup settingCorporate or startup, project-based
Employer & Industry UsageTech startups, early-stage companiesTech companies, software firms
Common Search & ComparisonYesYes

Entry Level Computer Science Startup roles typically involve working in dynamic, innovative environments with a focus on diverse projects, often requiring adaptability. Entry Level Software Developer positions are more structured, often within established companies, focusing on specific software development tasks. Both roles require similar educational backgrounds and skills, but the work setting and project scope differ.

What are popular job titles related to Entry Level Computer Science Startup jobs in New York? For Entry Level Computer Science Startup jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Startup jobs in New York look for? The top searched job categories for Entry Level Computer Science Startup jobs in New York are:
Entry Level Computer Science Startup jobs near you
Infographic showing various Entry Level Computer Science Startup job openings in New York as of May 2026, with employment types broken down into 7% Internship, 80% Full Time, 11% Part Time, and 2% Temporary. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution.
AI Scientist, Agentic AI Discovery

AI Scientist, Agentic AI Discovery

SK Life Science, Inc.

Paramus, NJ

Full-time

Posted 10 days ago

Job description

Overview

The AI Scientist will design, prototype, and advance next-generation AI systems for drug discovery and pharmaceutical research. This role focuses on exploring and applying emerging AI methodologies to accelerate scientific discovery, support data-driven decision-making, and improve R&D workflows across drug discovery programs.

The AI Scientist will contribute to the development of agentic AI systems, multi-agent workflows, and AI-driven scientific reasoning platforms that integrate advanced machine learning, large language models, and biomedical research applications. The role requires a strong balance of AI research understanding, hands-on prototyping ability, and engineering execution to rapidly evaluate new ideas and translate them into scalable, production-ready solutions.

Responsibilities

Responsibilities include evaluating emerging AI techniques, reproducing and extending state-of-the-art research approaches, building experimental prototypes, and developing reusable AI system architectures that can support scientific exploration and therapeutic discovery. The AI Scientist will collaborate closely with cross-functional research and engineering teams to identify high-impact opportunities where AI can meaningfully improve discovery efficiency and insight generation. The ideal candidate is highly technical, deeply curious about frontier AI capabilities, and excited about applying advanced AI systems in real-world drug discovery environments.

Qualifications
  • Education: Master's degree or higher in AI-related fields, Computer Science, Computational Biology, Bioinformatics, Machine Learning, or related disciplines.
  • Experience: At least 3 years of relevant experience in AI, machine learning, or applied research environments.
  • Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.
  • AI Engineering Skills: Strong AI engineering and coding skills, with hands-on experience building scalable and production-ready AI applications and systems.
  • AI-Assisted Development: Experience with AI-assisted development and rapid prototyping workflows ("vibe coding") is highly desirable.
  • Agentic AI: Strong interest or hands-on experience in agentic AI systems, multi-agent orchestration frameworks, AI reasoning workflows, and LLM-based applications.
  • Biomedical Research: Experience working with biomedical or life science datasets and AI-driven scientific research platforms is highly desirable.
  • Generative AI & LLMs: Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus.
  • Technical Stack: Strong programming skills in Python and familiarity with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar ecosystems.
  • Domain Knowledge: Ability to quickly learn and understand drug discovery and pharmaceutical R&D domains and connect them with AI solutions.
  • Other Skills: Strong strategic thinking, problem-solving, interpersonal, and communication skills. Ability to excel in a fast-paced, startup-like environment with a focus on innovation and adaptability.
  • English Proficiency: Professional-level English communication skills.
  • Track Record: Experience applying AI within drug discovery, healthcare, or life sciences is advantageous.

**Candidates must be authorized to work in the United States without current or future employer sponsorship. 

Employment Type: FULL_TIME

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