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Data Science Phd Jobs in Nebraska (NOW HIRING)

Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ... Preferred Qualifications * Advanced degree (PhD, PharmD, or MSc) in computational biology ...

$60K - $80K/yr

The BSD currently includes approximately 135 faculty in the 10 basic science departments, over 800 ... Performs experiments and collects and analyzes data. Participates in the promotion of a research ...

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or problem set analysis (e.g., international relations, political science, cultural anthropology ...

At WBD, Machine Learning Engineering does rigorous data science and own the engineering that brings ... This role is ideal for engineers with roughly 5-8 years of experience (3+ with a PhD) who operate ...

Senior Machine Learning Engineer

Bellevue, NE · On-site

$99K - $135K/yr

At WBD, Machine Learning Engineering does rigorous data science and own the engineering that brings ... This role is ideal for engineers with roughly 5-8 years of experience (3+ with a PhD) who operate ...

Collaborate with Product, Operation, Data Science and Engineering teams, and executive stakeholders ... a PhD in a related technical field + 5+ years of post-grad software development experience * 1+ ...

Collaborate with Product, Operation, Data Science and Engineering teams, and executive stakeholders ... a PhD in a related technical field + 5+ years of post-grad software development experience * 1+ ...

... data, and findings clearly and accurately, ensuring reproducibility and scientific integrity ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

... data, and findings clearly and accurately, ensuring reproducibility and scientific integrity ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

Data Modeling: Translate business and operational requirements into logical data models , convert ... science, engineering, or a related technical field with 12+ years of relevant experience; OR * PhD ...

Showing results 41-60

Data Science Phd information

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What are popular job titles related to Data Science Phd jobs in Nebraska? For Data Science Phd jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Data Science Phd jobs? Cities in Nebraska with the most Data Science Phd job openings:
Infographic showing various Data Science Phd job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Omaha, NE • On-site, Remote

$90 - $120/hr

Part-time

Posted 13 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. 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. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.