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Ai For Science Jobs in Indiana (NOW HIRING)

Join the Foundational Modeling team at Splunk, where we advance the state of AI for highvolume ... Collaborate with engineering, product, and data science teams to understand requirements ...

A Bachelor's degree in a life science, engineering, or technical discipline, or in journalism ... Integrate AI by developing prompts, leveraging AI for repetitive tasks, and creating training ...

... for residential property - such as manufactured homes and specialty dwellings - and the ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... for residential property - such as manufactured homes and specialty dwellings - and the ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... for residential property - such as manufactured homes and specialty dwellings - and the ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

... for residential property - such as manufactured homes and specialty dwellings - and the ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

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Ai For Science information

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

Which 3 jobs will survive AI?

For roles related to AI for science, jobs such as research scientists, data analysts, and laboratory technicians are likely to persist as they require specialized knowledge, critical thinking, and hands-on experimentation that AI cannot fully replicate. These positions often involve complex problem-solving, interpretation of experimental data, and domain-specific expertise. Continuous learning and proficiency with AI tools can enhance job security in these fields.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

What AI can I use for science?

AI for science involves using machine learning models, data analysis tools, and neural networks to analyze scientific data, make predictions, and automate research tasks. Common tools include TensorFlow, PyTorch, and specialized platforms like DeepMind or IBM Watson, often requiring programming skills in Python and knowledge of data science. These AI applications support fields such as biology, chemistry, physics, and environmental science.

Can AI take over science jobs?

AI for science roles involves automating data analysis, modeling, and research tasks, which can enhance productivity but are unlikely to fully replace scientists. Human expertise is essential for designing experiments, interpreting results, and making complex decisions. AI tools are typically used to support scientists rather than replace them entirely.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and working with cutting-edge tools, and they usually offer compensation in the upper echelons of the industry. Such salaries are more common in large tech companies or specialized AI firms.

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

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What cities in Indiana are hiring for Ai For Science jobs? Cities in Indiana with the most Ai For Science job openings:
Infographic showing various Ai For Science job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Senior Research Director - Center for Responsible AI in Learning and Assessment

Senior Research Director - Center for Responsible AI in Learning and Assessment

Educational Testing Service

Indianapolis, IN

Full-time

PTO

Posted 27 days ago


Job description

About ETS:

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

The Senior Director of the Center for Responsible AI in Learning and Assessment serves as the intellectual and administrative leader for ETS’s applied research and innovation agenda in artificial intelligence. This position leads the development, prioritization, and execution of a multi-year research portfolio focused on AI-enabled assessment, learning technologies, AI literacy, personalization, responsible AI, and large-scale model evaluation. This role provides strategic direction, scientific leadership, and people leadership across an integrated program of research and consulting.

This position is designed for a distinguished AI researcher who can shape the future of assessment by advancing and applying state-of-the-art approaches in artificial intelligence, machine learning, natural language processing, and/or generative AI to high-stakes educational and workforce measurement. The Senior Research Director will lead research agendas that improve validity, fairness, reliability, security, interpretability, and impact of AI-enabled assessments—at scale.

The incumbent directs and administers fiscal, operational, personnel, and policy implementation activities for the research center while conducting an independent program of high-impact research and scholarly dissemination.

Primary Responsibilities

1) Strategic Scientific Leadership and vision for AI

  • Define and lead a multi-year research agenda at the intersection of AI and measurement, including:

  • automated scoring and evaluation (writing, speaking, constructed response, performance tasks)

  • LLM-enabled assessment design and delivery (e.g., generative task creation, adaptive interactions)

  • NLP and multimodal modeling for language and skills measurement

  • psychometric modeling integrated with ML (hybrid models, fairness-aware measurement, Bayesian/IRT + deep learning)

  • model evaluation frameworks aligned to validity arguments and operational constraints

  • responsible AI for high-stakes testing (bias, transparency, privacy, security, governance)

  • Identify emerging opportunities in AI

  • Serve as a scientific thought leader for ETS on AI-enabled assessment innovation, identifying emerging techniques, risks, and opportunities.

2) Research & Innovation Management
  • Lead the design and implementation of complex AI focused research programs requiring coordination of tasks, timelines, data resources, and staff across multiple projects.

  • Provide hands-on scientific direction and consultation on research protypes, models and analytic tools, methodology, and evaluation strategies.

  • Monitor research progress, ensure methodological rigor, and guide teams to high-quality deliverables that meet rigorous standards for fairness, reliability, and transparency.

3) External Funding, Proposals, and Partnerships
  • Consult on proposal development, identify potential funding agencies, and coordinate responses to RFPs.

  • Develop strong partnerships with universities, research labs, policy bodies, foundations, and other funding organizations.

  • Serve as liaison between ETS Research Institute and key client groups, including policy/advisory boards and government agencies.

  • Represent ETS at conferences and advisory groups

4) Dissemination, and Thought Leadership
  • Maintain an active, independent research program with sustained scholarly output.

  • Disseminate findings through peer-reviewed publications, technical reports, invited talks, and participation in seminars, symposia, and professional organizations.

  • Represent ETS externally and help position ETS as a global leader in AI for assessment and measurement science.

5) People Leadership & Talent Development
  • Recruit, develop, and mentor researchers and staff, building capability across AI, psychometrics, and applied measurement.

  • Guide staff work, provide coaching and performance feedback, and foster collaboration across disciplines.

  • Build an inclusive, high-performance research culture that values scientific integrity, innovation, and impact.

6) Center Administration & Operational Leadership
  • Direct center operations including budget planning, fiscal oversight, resource prioritization, and policy implementation.

  • Monitor and approve research and consulting expenditures; review and approve proposal and project budgets; manage against budgets.

  • Oversee personnel processes, including staffing plans, performance appraisals, and related actions in alignment with ETS policies.

#LI-RK1

#LI-REMOTE

Required Skills & Expertise Scientific & Technical Leadership (AI + Measurement)
  • Deep expertise in AI/ML, LLM’s and NLP, with demonstrated application to assessment, learning, education, workforce skills measurement, or human performance evaluation.

  • Strong command of research design and statistical/quantitative methods, including measurement science and/or psychometrics.

  • Ability to connect AI modeling choices to assessment constructs, validity, fairness, reliability, and interpretability requirements.

Research Program Leadership
  • Proven ability to set a compelling scientific agenda, translate it into funded work, and deliver measurable impact.

  • Demonstrated experience leading complex research programs, multi-project portfolios, and cross-functional teams.

Communication & Influence
  • Exceptional oral and written communication skills, including the ability to explain complex AI concepts to diverse audiences (researchers, product leaders, policymakers, funders).

  • Track record of influence within professional communities and among senior stakeholders.

Leadership & Team Development
  • Demonstrated ability to lead teams, coach and develop talent, and foster a collaborative and inclusive culture.
Education & Experience
  • Ph.D. in Computer Science, Statistics, Psychology, Cognitive Science, Educational Measurement, or a closely related discipline.

  • Minimum 10 years of progressively responsible research and/or program leadership experience post-Ph.D., including evidence of both research excellence and administrative/people leadership.

  • A strong record of scholarly impact such as:

  • publications in leading venues relevant to the role (AI/ML/NLP and/or measurement/education research),

  • recognized contributions to the field (invited talks, editorial/service roles, awards, high-impact collaborations),

  • and/or demonstrated leadership of influential research programs.

  • Experience with one or more of the following:

  • large-scale language assessment and automated scoring systems

  • LLMs and evaluation (e.g., robust evaluation frameworks, safety, hallucination mitigation, grounded generation)

  • fairness-aware ML, bias detection/mitigation, interpretability, and model governance

  • privacy/security considerations for AI in assessment environments

  • translating research into operational or product contexts (research-to-practice)

Why ETS / What You’ll Shape

In this role you will help define the scientific future of assessment by advancing AI-enabled measurement that is valid, fair, transparent, and scalable. You will collaborate with world-class researchers and partners, influence global policy conversations, and contribute to ETS’s mission of advancing quality and equity in education.

ETS is mission driven and action oriented
  • We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.

  • We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!

  • As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!

  • The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate.

ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity.

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