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Simulation Internship Jobs in New York (NOW HIRING)

Intern-Field

Edison, NJ · On-site

$20.25/hr

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Intern-Field

Parsippany, NJ · On-site

$20.25/hr

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

Intern-Field

Manhattan, NY · On-site

$23.75/hr

Complete a capstone project to present at the end of the internship. * Collaborate with peers on group challenges and business simulations. Qualifications Overview * Pursuing a bachelor's degree as a ...

FPGA Engineer - Intern (US)

Manhattan, NY · On-site

$4.5K - $5.8K/wk

... the internship. Your Objectives: * Design, implement and test FPGA solutions across Citadel ... Hardware Architecture, RTL Coding, Simulation, Systems Integration, Hardware Validation and Testing ...

FPGA Engineer (Intern)

Manhattan, NY · On-site

$4.3K - $4.8K/wk

... the internship. Your Objectives: * Design, implement and test FPGA solutions across Citadel ... Hardware Architecture, Simulation, Systems Integration, Hardware Validation and Testing, FPGA ...

Showing results 41-60

Simulation Internship information

What types of projects or tasks can I expect to work on during a simulation internship?

As a Simulation Intern, you'll typically work on projects involving the design, development, and analysis of simulation models for products, systems, or processes. Your daily tasks may include running simulation software, collecting and interpreting data, and collaborating with engineers or project managers to refine models based on real-world feedback. Interns often contribute to team meetings, present findings, and gain hands-on experience with industry-standard tools. This role provides a valuable opportunity to develop problem-solving skills, technical expertise, and a deeper understanding of how simulation informs decision-making in engineering or research-driven environments.

What is a simulation internship?

A Simulation Internship is a temporary role, often for students or recent graduates, where individuals gain hands-on experience working with simulation technologies and software. Interns may help develop, test, or analyze virtual models that mimic real-world systems in fields like engineering, healthcare, or computer science. This experience allows interns to apply theoretical knowledge, learn industry-standard tools, and collaborate with professionals on real projects, helping them prepare for future careers in simulation or related areas.

What is the difference between Simulation Internship vs Simulation Engineer?

AspectSimulation InternshipSimulation Engineer
Required CredentialsTypically pursuing or recent graduate in engineering, computer science, or related fieldBachelor's or master's degree in engineering, computer science, or related field; professional experience often preferred
Work EnvironmentInternship programs, often in corporate R&D or engineering departmentsFull-time engineering teams in industries like automotive, aerospace, or manufacturing
Employer & Industry UsageUsed by companies for training, skill development, and project supportUsed for designing, analyzing, and optimizing systems through simulation
Common Search & Comparison IntentUnderstanding entry-level opportunities and learning pathsUnderstanding career progression and job responsibilities

The main difference between a Simulation Internship and a Simulation Engineer lies in experience level and responsibilities. Internships are entry-level positions aimed at learning and gaining experience, while Simulation Engineers are full-time professionals responsible for developing and applying simulation models in industry projects.

What are the key skills and qualifications needed to thrive as a simulation intern, and why are they important?

To thrive as a Simulation Intern, you generally need a background in engineering, computer science, or a related field, along with foundational knowledge of modeling and simulation principles. Familiarity with simulation software like MATLAB, Simulink, or Arena, and experience with programming languages such as Python or C++ are typically required. Strong analytical thinking, attention to detail, teamwork, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately developing, testing, and interpreting simulation models to solve real-world problems and support project goals.

What are the most commonly searched types of Simulation jobs in New York?

The most popular types of Simulation jobs in New York are:

What cities in New York are hiring for Simulation Internship jobs?

Cities in New York with the most Simulation Internship job openings:

Infographic showing various Simulation Internship job openings in New York as of June 2026, with employment types broken down into 16% Internship, 74% Full Time, and 10% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.

Data Scientist, Portfolio Optimization

Formation Bio

New York, NY

$154K - $202K/yr

Full-time

Re-posted 22 days ago


Job description

About the Position 

As a Data Scientist on the platform prediction team, you'll translate our probability of success predictions into measurable portfolio-level outcomes. You'll architect core systems - order management, execution simulation, portfolio construction, risk monitoring, and performance attribution - that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.No other company - hedge fund or pharma - has a technical data science position translating drug development experience into durable AI-native portfolio strategies. The skills you develop here - portfolio construction over assets with radically asymmetric risk profiles, clinical trial analytics, AI/ML in production, and risk management across multi-year horizons - can directly impact the delivery of new and effective therapeutics to patients by best aligning impactful medicines with economic incentives.

Responsibilities

  • Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
  • Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
  • Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
  • Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
  • Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
  • Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You 

Required Qualifications

  • PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
  • 1-3 years in a quantitative research, data science, or analytics role in life sciences or life science adjacent field (healthcare, academic research, or consulting all count; substantive internships qualify)
  • Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
  • Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
  • Demonstrated ability to work with messy, real-world datasets - comfortable with data wrangling, deduplication, and quality assessment
  • Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

  • Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
  • Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
  • Familiarity with alternative data in a research or investment context
  • Experience with probability-of-success modeling, drug development decision analysis, or health economics
  • Comfort with LLMs or AI/ML pipelines in a production or research setting
  • Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Healthcare OR finance domain knowledge is valued; both are not required.


Total Compensation Range: $154,500 - $202,000