Clinical Data Strategist

Work Locations, Hours & Flexibility:

• Location:
• In-office: Islamabad or Peshawar, Pakistan

Note: Work location is subject to change based on evolving organizational needs.

·      Work Hours and Global Alignment:

• Standard work hours will vary by role and location and may not follow a traditional 9:00 AM – 5:00 PM schedule. This role requires
  availability Monday through Friday
  , with
  at least 5–6 hours of daily overlap with the U.S.-based leadership team
  , particularly in the initial phase. Candidates must be able to align working hours across
  Pakistan and U.S. time zones
  to participate in key meetings and complete time-sensitive tasks.
• Flexibility Expectations:
• Flexibility is essential, as meetings and collaboration with international colleagues may occasionally occur outside of typical business hours. The schedule may evolve over time depending on team needs and the individual's demonstrated ability to work independently. Participation in both scheduled and ad hoc meetings, sometimes on short notice, across time zones and outside of regular work hours, is expected
• Global Collaboration:
• This role involves regular interaction with colleagues and clients across multiple countries and time zones. Candidates must be comfortable operating in a globally distributed, international team environment.

Employment Type:

Full-Time

Position Summary:

We are seeking a strategic and solutions-oriented Clinical Data Strategist to join our growing team. In this pivotal role, you will serve as a guardian of our clinical trial data—ensuring its quality, integrity, and strategic use across the organization. You will help transform data into a powerful asset that supports scientific rigor, operational excellence, and commercial growth.

As a key architect of our data governance framework, the Clinical Data Strategist will lead efforts in automation, workflow optimization, and advanced analytics to uncover actionable insights. The ideal candidate is a proactive problem solver who understands the intersection of clinical science, data, and technology, and is passionate about using data to solve complex challenges in clinical research.

Key Responsibilities:

1. Data Ecosystem Governance & Automation:

Develop, and implement, and enforce a comprehensive data governance framework for clinical trial data, establishing and enforcing standards for data quality, metadata management, and data lineage.

Serve as the Data Steward for assigned studies, acting as the primary point of contact for all data-related inquiries and ensuring clinical data assets remain accurate, trustworthy, and secure.

Architect, implement, and manage robust, automated data pipelines to ingest, transform, and harmonize data from diverse clinical sources (e.g., EDC, central labs, EMRs).

Collaborate with data engineering teams to proactively identify and eliminate manual data handling, enabling scalable, near real-time access to analysis-ready data.

2. Proactive Scientific & Quality Analysis:

Write clean, maintainable, and efficient code.

Perform advanced scientific data review to detect complex inconsistencies, implausible data points, and patterns that could impact clinical interpretation, including cross-modal consistency and data plausibility checks.

Design and maintain continuous data monitoring systems to proactively identify anomalies such as outliers, measurement errors, and protocol deviations.

Lead the end-to-end data review process for assigned studies, working closely with clinical operations, medical monitors, and biostatistics to investigate and resolve data queries in a timely manner.

3 Strategic Insight Generation & Business Enablement:

Act as an internal data consultant to the organization, proactively identifying process bottlenecks and operational inefficiencies by analyzing data and participating in cross-functional team meetings.

Design, build, and deploy advanced analytical solutions, including interactive dashboards (using Power BI, Tableau) and exploratory predictive models (using R or Python) to answer complex questions such as disease progression.

Partner with business development and scientific leadership to showcase the company's advanced data analytics capabilities, developing compelling data visualizations and case studies to help acquire new customers.

Qualifications:

Education:

Bachelor's degree or higher
in a relevant field such as Data Science, Statistics, Computer Science, Life Sciences or related discipline, or equivalent combination of education and experience.

Experience and Skills:

·      
Fluency in English
(written and spoken) is required; ability to communicate clearly with international teams and clients.

·      Demonstrated ability to manage complex projects, meet deadlines, and coordinate across multidisciplinary teams.

·      Ability to adapt to shifting priorities, work across global time zones, and handle confidential information with professionalism.

·      Experience in collaborating with cross-functional teams

·      Experience working in a fast-paced development environment

·      3–5+ years of experience in clinical data management, data analysis, or a related role within the pharmaceutical, biotech, or CRO industry.

·      Strong understanding of the clinical trial lifecycle, from study start-up to database lock.

·      Prior experience in leading a team of 3–5 data scientists or serving in a data leadership role is a plus.

Key Skills:

• Effective communication and interpersonal skills with a focus on teamwork and collaboration.
• Ability to work independently and as part of a team.
• Ability to work under strict deliverable timelines and manage stressful situations.
• Skilled at working cooperatively across diverse teams and time zones to achieve shared goals.
• Strong, hands-on experience with Python (Pandas, NumPy) or R (dplyr, ggplot2) for data manipulation, automation, and analysis is required.
• Proficiency in SQL for data querying and extraction.
• Expertise in building dashboards and data visualizations using Power BI or Tableau.
• Familiarity with clinical trial data systems (e.g., EDC systems) and clinical data standards (e.g., CDISC, SDTM, ADaM) is highly preferred.
• Exceptional analytical and problem-solving skills with keen attention to detail.
• Effective communication and interpersonal skills, in addition to stakeholder management skills, with the ability to translate complex data into actionable insights for technical and non-technical audiences.
• Skilled at working cooperatively across diverse teams and time zones to achieve shared goals.
• Ability to work independently and under strict deliverable timelines and manage high-pressure situations professionally.
• Effective team collaboration and communication

About OIRRC:

The Ocular Imaging Research and Reading Center (OIRRC) is a leader in ophthalmic imaging and clinical trial support, specializing in innovative technologies and AI tools to advance eye care globally. Our mission is to revolutionize eye care by delivering cutting-edge imaging solutions that empower research, improve diagnoses, and enhance patient outcomes. We foster a collaborative and dynamic work environment that values innovation, diversity, and continuous learning, ensuring each team member's contribution is valued as we work together to make a meaningful impact on ophthalmology.