The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission.

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Here is what we offer: 

• Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
• Work-Life Balance: PTO, paid holidays, flexible work arrangements
• Financial Wellness: Competitive salary, 403(b) with company match 
• Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
• Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us! 

https://hr.howard.edu/benefits-wellness

Overview: The Center for Equitable Economy and Sustainable Society and the Center for Excellence in Housing and Urban Research and Policy (CHURP) at Howard University are seeking a Senior Research Data Scientist specializing in artificial intelligence, machine learning, health economics, racial wealth gap analysis with a focus on identifying and mitigating racial and ethnic bias. This is a joint position that will be housed in the Center for Equitable Economy and Sustainable Society and partially funded by CHURP. The ideal candidate will possess a strong background in data science, statistical analysis, and programming, along with a deep understanding of the intersection of economics, health, social equity, and technology. This position offers an exciting opportunity to contribute to cutting-edge research aimed at promoting equitable economic development and social justice.

Key Responsibilities:

Research Design and Implementation:

• Lead and contribute to research projects focused on health economics, racial wealth gap analysis, and artificial intelligence (AI).
• Develop innovative research methodologies and analytical frameworks to address complex societal challenges related to racial and ethnic disparities.
• Collaborate with interdisciplinary teams of researchers, economists, policy analysts, and community stakeholders to design and execute research studies.
• Increase the data science and AI footprint at Howard University through research collaboration towards securing external funding.

Data Analysis and Modeling:

• Utilize advanced statistical techniques and machine learning algorithms to analyze large-scale datasets related to health outcomes, wealth distribution, and socioeconomic factors.
• Apply data visualization techniques to communicate research findings effectively to diverse audiences, including policymakers, academics, and community members.
• Develop predictive models to forecast trends and patterns in health disparities and economic inequities, with a particular focus on identifying and quantifying racial and ethnic bias.

Bias Detection and Mitigation:

• Investigate algorithmic biases and discriminatory practices in AI systems used in healthcare, finance, housing, and other domains.
• Develop methodologies to detect and mitigate biases in data collection, algorithm design, and decision-making processes, with a specific emphasis on promoting fairness and equity.
• Work closely with stakeholders such as policy makers, regulators, and program administrators to implement strategies for addressing bias in policy development, program evaluation, and organizational practices.

Thought Leadership and Collaboration:

• Publish research findings in peer-reviewed journals and present at academic conferences, workshops, and public forums.
• Collaborate with external partners, including government agencies, non-profit organizations, and industry stakeholders, to leverage expertise and resources in addressing systemic inequities.
• Mentor junior researchers, graduate and undergraduate students, providing guidance and support in developing research skills and advancing their careers in data science and social policy.

Minimum requirements:

• Ph.D. in Computer Science with specialization in AI and data science.
• Demonstrated expertise in statistical analysis, machine learning, and data visualization, with proficiency in programming languages such as Python, R, or SQL.

Core competencies:

• Strong background in health, racial wealth gap analysis, or related fields, with a commitment to advancing social justice and equity.
• Experience working with diverse datasets, including administrative records, survey data, and unstructured sources such as text and image data.
• Knowledge of ethical considerations and best practices in AI and machine learning, particularly regarding fairness, accountability, and transparency.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical audiences and engage effectively with stakeholders from diverse backgrounds.
• Proven track record of publication in peer-reviewed journals, external funding and experience presenting research findings at conferences and public events.
• Ability to work independently and collaboratively in a dynamic research environment, with a commitment to fostering a culture of inclusivity and mutual respect.

Join us in our mission to advance equitable economic development and create a more just and sustainable society. Together, we can harness the power of data science and interdisciplinary research to address systemic inequalities and promote positive social change.

Compliance Salary Range Disclosure

Compliance Salary Range Disclosure

Expected Pay Range: $140,000 - $150,000