Research Jobs in Austin, TX

Positions 20,786 Updated daily

Looking for Research jobs in Austin, TX? Browse our curated listings with transparent salary information to find the perfect Research position in the Austin, TX area.

Experience Design Lead

Company: Capital One

Location: Plano, TX

Posted Jan 24, 2025

Capital One is seeking a Lead UX Designer for a Hybrid position in Plano, TX. The role involves strategy & planning, collaborating with various teams, and advocating for user needs. The ideal candidate should have at least 6 years of UX design experience, be comfortable with design tools, and have experience managing cross-functional teams. The company offers a competitive salary, benefits, and a culture that champions collaboration, authenticity, and diversity.

Sales Development Representative TOLA/LATAM

Company: Actian

Location: Austin, TX

Posted Jan 24, 2025

Actian is seeking a Sales Development Representative with a passion for sales, eagerness to learn, and a fast-paced work style. The role involves strategizing with Field Sales Reps, reaching out to MidMarket and Fortune 1000 companies, and providing insights on Actian technology. The SDR will prospect new business, tap into existing bases, and learn skills for future senior sales roles. Actian's innovative cloud data and hybrid technologies will be utilized to engage with innovative prospects and customers across various industries. The SDR will work in a sales team environment, utilizing cutting-edge tools for prospecting, outreach, and relationship building. Key objectives include qualifying accounts, managing leads, contributing to key messaging, achieving quota, and maintaining Salesforce.com. Successful candidates will have 1+ years of sales experience, fluency in Spanish, strong communication skills, and experience with enterprise SaaS and analytics. Prior sales training and experience with Salesforce.com are preferred.

Lead Data Scientist - Optimization

Company:

Location: Houston, TX

Posted Jan 24, 2025

The Friedkin Group offers a supportive work environment with opportunities for career growth, innovation, and competitive benefits. The Lead Data Scientist - Optimization role involves developing mathematical models and algorithms to solve complex business problems, collaborating with business units, and presenting strategic recommendations to senior management. The ideal candidate should have a Master's or PhD in Computer Science, Statistics, or Applied Mathematics, along with 5-7 years of data science experience.

Lead Data Scientist - Optimization

Company:

Location: Richmond, TX

Posted Jan 24, 2025

The Friedkin Group offers a supportive work environment with opportunities for career growth, innovation, and competitive benefits. The Lead Data Scientist - Optimization role involves developing mathematical models and algorithms to solve complex business problems, collaborating with business units, and presenting strategic recommendations to senior management. The ideal candidate should have a Master's or PhD in Computer Science, Statistics, or Applied Mathematics, along with 5-7 years of data science experience.

Lead Data Scientist - Optimization

Company:

Location: Houston, TX

Posted Jan 24, 2025

The Friedkin Group offers a supportive work environment with opportunities for career growth, innovation, and competitive benefits. The Lead Data Scientist - Optimization role involves developing mathematical models and algorithms to solve complex business problems, collaborating with business units, and presenting strategic recommendations to senior management. The ideal candidate should have a Master's or PhD in Computer Science, Statistics, or Applied Mathematics, along with 5-7 years of data science experience.

Lead Data Scientist - Optimization

Company:

Location: Houston, TX

Posted Jan 24, 2025

The Friedkin Group offers a supportive work environment with opportunities for career growth, innovation, and competitive benefits. The Lead Data Scientist - Optimization role involves developing mathematical models and algorithms to solve complex business problems, collaborating with business units, and presenting strategic recommendations to senior management. The ideal candidate should have a Master's or PhD in Computer Science, Statistics, or Applied Mathematics, along with 5-7 years of data science experience.

Lead Data Scientist - Optimization

Company:

Location: Houston, TX

Posted Jan 24, 2025

Frequently Asked Questions

What are typical salary ranges for Research roles by seniority?
Entry‑level Data Scientists and Research Assistants earn $70,000–$100,000 annually, while mid‑level positions such as Senior Data Scientist or Lead Lab Scientist command $110,000–$150,000. Principal Research Scientists or Senior Biomedical Investigators usually receive $150,000–$200,000, and Director‑level research leaders can exceed $250,000 depending on funding and institutional prestige.
Which skills and certifications are required for a career in Research?
Core programming skills in Python, R, or MATLAB, proficiency with SQL databases, and experience using TensorFlow, PyTorch, or Scikit‑learn are essential for data‑driven research. For laboratory roles, proficiency in LIMS, CRISPR/Cas9 protocols, or GC‑MS instrumentation is required. Certifications such as SAS Base, PMP, or GxP Compliance add credibility and often unlock higher pay bands.
Can Research positions be performed remotely?
Many research teams now use cloud platforms like Google Colab, AWS SageMaker, and Azure ML to run experiments, allowing remote data scientists to collaborate via GitHub, Slack, and Zoom. Lab‑based positions may require periodic on‑site visits, but companies frequently offer hybrid arrangements or full remote roles for computational research or simulation work.
What career progression paths exist in Research?
Typical trajectories start with Research Associate or Junior Scientist, advance to Senior Associate or Lead Scientist, then to Principal Investigator or Senior Research Lead, and culminate in Director of Research or Chief Scientific Officer. Advancement often hinges on publication metrics, grant acquisition, and leadership of interdisciplinary projects.
What are current industry trends shaping Research careers?
Artificial intelligence is driving demand for deep‑learning researchers who can deploy models at scale. Quantum computing research focuses on error‑correction algorithms and hardware design. Biomedical research is propelled by CRISPR gene editing and personalized medicine. Renewable energy studies target battery chemistry and carbon‑capture technologies. Interdisciplinary collaborations between computer science, biology, and materials science are becoming standard, expanding the skill set required for cutting‑edge research roles.

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