Senior Data Entry & Clinical Data Science Specialist – Remote, $26/hr – Empowering Real‑World Evidence & Patient Outcomes at brighthush

About brighthush

brighthush is a pioneering force in the healthcare and retail pharmacy arena, blending a century‑long legacy of compassionate care with cutting‑edge technology. With a nationwide footprint that spans the United States, Puerto Rico, and the U.S. Virgin Islands, we serve millions of customers every day through an omnichannel experience that unites in‑store, online, and mobile interactions. Our mission is simple yet profound: to create happier lives by delivering higher quality health outcomes. At brighthush, we believe that data is the catalyst for transformation—turning raw numbers into actionable insights that shape the future of medicine.

Why Join brighthush?

As a global leader in pharmacy and healthcare services, brighthush offers a dynamic, inclusive environment where data‑driven insights steer the next wave of medical innovation. By joining our Remote Data Entry & Clinical Data Science team, you will:

• Lead high‑impact projects that influence real‑world evidence (RWE) and real‑world data (RWD) strategies for biopharmaceutical partners.
• Collaborate with cross‑functional teams—clinical research, analytics, IT, and business—to transform raw data into actionable insights.
• Leverage state‑of‑the‑art analytics platforms and advanced statistical methods to uncover trends that drive better patient outcomes.
• Enjoy a flexible remote work arrangement with competitive hourly compensation and a comprehensive benefits package.
• Benefit from continuous learning opportunities, mentorship, and a culture that values innovation, teamwork, and personal growth.

Key Responsibilities

As a Data Entry & Clinical Data Science Specialist, you will play a pivotal role in ensuring data integrity and driving evidence‑based decision making. Your day‑to‑day tasks will include:

• Data Acquisition & Standardization: Extract, clean, and transform data from diverse sources—including electronic health records, claims databases, and clinical trial repositories—into a unified data lake for downstream analysis.
• Statistical Analysis & Modeling: Design and execute robust, reproducible statistical analyses using R, Python, or SQL to answer complex clinical questions and support RWE studies.
• Insight Generation: Identify patient subgroups, treatment patterns, and outcome metrics that inform therapeutic strategies and health economics models.
• Dashboard Development: Build interactive dashboards and visualizations in Tableau, Power BI, or similar tools to communicate findings to both technical and non‑technical stakeholders.
• Quality Assurance: Perform rigorous data validation, audit trails, and documentation to ensure compliance with regulatory standards and internal quality frameworks.
• Collaboration & Communication: Partner with clinical data managers, biostatisticians, and external vendors to align on project objectives, timelines, and deliverables.
• Continuous Improvement: Evaluate and recommend enhancements to data pipelines, analytic workflows, and reporting mechanisms to increase efficiency and analytical depth.

Essential Qualifications

To thrive in this role, you should possess the following:

• Bachelor’s degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative field.
• Minimum of four years of experience in a quantitative or computational role, preferably within healthcare analytics or clinical research.
• Proficiency in R, Python, or SQL for data manipulation, statistical modeling, and automation.
• Hands‑on experience designing and executing reproducible statistical analyses in epidemiology or observational studies.
• Solid understanding of advanced statistical techniques such as generalized linear models, survival analysis, propensity score matching, and machine learning algorithms (classification, clustering, decision trees).
• Experience handling large, heterogeneous datasets and performing data cleaning, transformation, and integration.
• Familiarity with healthcare data standards (e.g., CDISC, HL7, SNOMED CT) and claims data structures.
• Proficiency in at least one business intelligence platform—Tableau, Power BI, Alteryx, or Spotfire—to create dashboards and reports.
• Strong analytical mindset, meticulous attention to detail, and the ability to translate complex data into clear, actionable insights.

Preferred Qualifications

We value additional expertise that will accelerate your success:

• Advanced degree (Master’s or Ph.D.) in Biostatistics, Epidemiology, Data Science, or a related field.
• Experience with real‑world evidence (RWE) and real‑world data (RWD) projects, including data sourcing, cleaning, and analysis for regulatory submissions.
• Knowledge of health economics and outcomes research (HEOR) methodologies, including cost‑effectiveness and budget impact modeling.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing solutions.
• Experience in a clinical data management or clinical research environment, working closely with investigators and sponsors.
• Strong communication skills, with the ability to present complex findings to diverse audiences.

Skills & Competencies

Success at brighthush requires a blend of technical prowess and soft skills:

• Data‑driven decision making and problem‑solving.
• Advanced statistical and analytical capabilities.
• Proficiency in programming languages (R, Python, SQL) and data visualization tools.
• Project management and the ability to juggle multiple priorities.
• Excellent written and verbal communication.
• Collaboration across multidisciplinary teams.
• Adaptability to evolving technologies and methodologies.

Career Growth & Learning Opportunities

At brighthush, we believe in nurturing talent and fostering continuous professional development. As a member of our Remote Data Entry & Clinical Data Science team, you will:

• Access internal training programs covering advanced analytics, machine learning, and healthcare data standards.
• Attend industry conferences, webinars, and workshops to stay ahead of emerging trends.
• Receive mentorship from senior data scientists and clinical research leaders.
• Follow clear career pathways—from Data Analyst to Senior Data Scientist, Analytics Lead, or Data Science Manager.
• Engage in cross‑functional projects that broaden your skill set and expose you to new areas of the business.

Work Environment & Culture

brighthush champions a culture of inclusivity, innovation, and impact. Our remote work model empowers you to maintain a healthy work‑life balance while contributing to meaningful projects. You will be part of a collaborative team that values:

• Open communication and transparency.
• Continuous improvement and learning.
• Recognition of individual and team achievements.
• Commitment to ethical data practices and patient privacy.

Compensation & Benefits

We offer a competitive hourly rate of $26 per hour, along with a comprehensive benefits package that may include:

• Health, dental, and vision insurance.
• Retirement savings plan with company match.
• Paid time off and flexible scheduling.
• Professional development stipend.
• Employee wellness programs and resources.
• Access to a virtual wellness platform and mental health support.

How to Apply

Ready to make a difference through data? Click the link below to submit your application and join brighthush’s mission to create happier lives through higher quality health outcomes.