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Ai Quant Jobs in Indiana (NOW HIRING)

micro1 AI

Director of Biostatistics

Fishers, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Biostatistician

Fishers, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Biostatistician

Evansville, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Biostatistician

Indianapolis, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Biostatistician

Fort Wayne, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Director of Biostatistics

Indianapolis, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Director of Biostatistics

Carmel, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

micro1 AI

Director of Biostatistics

Evansville, IN · Remote

$60 - $65/hr

... quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

Masco Corporation

AI Agent Developer

Indianapolis, IN · On-site

  • Retirement

Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field. * 4-6 years of professional experience in software engineering, data engineering, or applied AI/ML.

Cisco

Applied AI Scientist

Indianapolis, IN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

What are the key skills and qualifications needed to thrive as an AI quant, and why are they important?

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What are popular job titles related to Ai Quant jobs in Indiana?

For Ai Quant jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Quant jobs in Indiana look for?

The top searched job categories for Ai Quant jobs in Indiana are:

What cities in Indiana are hiring for Ai Quant jobs?

Cities in Indiana with the most Ai Quant job openings:

Ai Quant jobs near you

Director of Biostatistics

micro1 AI

Fishers, IN • Remote

$60 - $65/hr

Part-time

Posted 14 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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