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Neural Engineering Jobs in Raleigh, NC (NOW HIRING)

Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Proficiency in programming and analytical tools such as SQL, R, Python, MATLAB, Java, and Shell ...

... learning, neural networks, and natural language processing) in a variety of environments using ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Analyze large-scale neural and behavioral datasets using machine learning and statistical ... Proficiency in programming and analytical tools such as SQL, R, Python, MATLAB, Java, and Shell ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for neural engineering in Raleigh, NC is $18.77, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What Are Jobs in Neural Engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
What are the most commonly searched types of Neural Engineering jobs in Raleigh, NC? The most popular types of Neural Engineering jobs in Raleigh, NC are:
What are popular job titles related to Neural Engineering jobs in Raleigh, NC? For Neural Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Raleigh, NC look for? The top searched job categories for Neural Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Neural Engineering jobs? Cities near Raleigh, NC with the most Neural Engineering job openings:
Infographic showing various Neural Engineering job openings in Raleigh, NC as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Temporary. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $39,050 per year, or $18.8 per hour.
Principal Data Scientist (Raleigh)

Principal Data Scientist (Raleigh)

Azurity Pharmaceuticals

Raleigh, NC • On-site

$180K - $220K/yr

Full-time

Medical, Dental, Vision

Posted 3 days ago


Job description

Base pay range

$180,000.00/yr - $220,000.00/yr

Additional compensation types

Annual Bonus

About the Company

Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company’s patient centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com. Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.

About the Role

Azurity Pharmaceuticals is seeking a Principal Data Scientist to lead the design, strategic development and operationalization of advanced analytics and AI/Machine Learning solutions that directly drive commercial impact across our portfolio. This is a high-visibility, high-impact role that combines hands-on data science leadership with strategic influence, helping to shape the future of commercial analytics at Azurity. You will serve as a hands-on technical contributor and scientific thought leader across a range of innovative machine learning, statistical modeling, causal inference, and decision optimization models. These models will power initiatives across field sales, omnichannel marketing, HCP engagement, and strategic account management—You will work in close collaboration with data engineering, business strategy, field operations, and executive stakeholders to translate business objectives into deployable, scalable models that optimize brand performance and patient access. The ideal candidate is not only a deep expert in applied data science but also a forward thinking leader with a track record of driving business value through scalable AI systems, mentoring teams, and setting long-term analytics direction.

Responsibilities
  • Set the strategy and lead the execution of Azurity’s commercial analytics and AI roadmap, aligning data science initiatives with corporate growth
  • Own the end-to-end development lifecycle for machine learning and causal inference models that inform:
  • Omnichannel marketing targeting and optimization
  • Strategic account prioritization
  • Design and implement causal modeling frameworks (e.g., uplift modeling, counterfactuals, quasi-experiments), Observational causal inference techniques, including Propensity Score Matching (PSM), inverse probability weighting, and doubly robust estimators to quantify true business impact
  • Drive adoption of best practices in model governance, MLOps, reproducibility, and documentation using tools like Git, DBT, MLflow, and Azure
  • Serve as a technical mentor and team leader, guiding junior and senior scientists and elevating standards in modeling rigor, code quality, and business alignment
  • Collaborate cross-functionally with Commercial Strategy, Marketing, Field Operations, and Executive Leadership to frame problems as scalable modeling solutions
  • Influence platform and tooling decisions, with a focus on Azure-based infrastructure, Palantir Foundry, and CRM integration (Salesforce)
  • Stay ahead of industry trends and bring innovative methodologies into Azurity’s data science toolkit—especially in GenAI, personalization, and intelligent automation
Qualifications
  • Advanced degree (PhD or MS) in a quantitative field such as Statistics, Data Science, Computer Science, Applied Mathematics, Physics, Engineering, or a related STEM discipline
  • 7+ years of applied experience in data science, advanced analytics, machine learning or AI roles, including experience in the pharmaceutical or life sciences industry or commercial analytics is strongly preferred
  • Demonstrated expertise in:
  • Causal inference, uplift modeling, and experimental design, Bayesian methods, un-/supervised learning etc.
  • Machine learning techniques (tree-based models, ensembles, neural nets, etc.)
  • Python, PySpark, SQL, Git, and data workflow tools (DBT, Airflow, etc.)
  • Experience with modern data platforms such as Snowflake, Palantir Foundry, or equivalent
  • Proven ability to translate complex modeling outputs into actionable business insights
  • Deep familiarity with Azure cloud services for model development and deployment
  • Experience integrating and modeling with CRM and sales data (e.g., Salesforce)
  • Strong communication and stakeholder management skills, with experience influencing non-technical audiences and strong presentation skills
Required Skills
  • Experience defining and executing strategic analytics roadmaps across commercial functions
  • Prior management or team leadership experience, including mentoring, hiring, and developing data scientists
  • Background in AI/ML-driven forecasting, resource optimization, and business impact modeling
  • Familiarity with marketing technology, personalization systems, recommender engines, and ROI modeling
  • Experience with GenAI, prompt engineering, RAG, and autonomous/agentic systems or multi-ai agent systems for commercial use
  • Knowledge of Reinforcement Learning (RL) and sequential decision-making frameworks
Pay range and compensation package

Unlock Your Earning Potential: Join our team and be rewarded with a competitive compensation package, including an annual bonus based on company performance, that recognizes your exceptional talent.

  • Sales - In lieu of annual bonuses, we offer an Incentive compensation program that allows you to earn more - even over plan.
  • Fuel Your Success: *Sales Only* - We understand the value of your hard work and provide a car reimbursement program and gas card for both business and personal use as part of our commitment to supporting you.
Equal Opportunity Statement

Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. We are committed to diversity and inclusivity.

Benefits We Offer
  • Comprehensive Health Coverage: We value your well-being and offer excellent medical, dental, vision, and prescription coverage to ensure you and your family are always taken care of.
  • Flexibility for Your Lifestyle: Achieve work-life
Seniority level

Director

Employment type

Full-time

Industries

Pharmaceutical Manufacturing

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