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Stony Brook Medicine

HPC Security Architect

Stony Brook, NY · On-site

$142K - $182K/yr

... TriNetX, OnCore/Cerner RPE), genomic and imaging data, and large-scale AI/ML datasets. • Establish controls for secure collaboration and data sharing, including external access frameworks. Threat ...

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How much do trinetx jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for trinetx in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a TriNetX?

A job at TriNetX typically involves working with real-world healthcare data to support clinical research, data analytics, and pharmaceutical studies. Employees may work in roles such as data analysis, software development, customer support, or research collaboration. TriNetX is a global health research network that connects healthcare organizations, life sciences companies, and researchers to accelerate clinical trial design and real-world evidence generation.

What are the typical responsibilities of someone working in a TriNetX role within a healthcare organization?

In a TriNetX role, you’ll often be responsible for managing and analyzing large sets of clinical data to support real-world evidence studies and trial feasibility assessments. This position frequently involves collaborating with researchers, clinicians, and data specialists to ensure the accuracy and usefulness of data for ongoing and prospective studies. You may also help develop tailored reports, deliver platform demonstrations or trainings, and provide support for data-driven decision-making. The role offers varied tasks each week and is highly collaborative, making it excellent for those who enjoy teamwork and innovation in the healthcare industry.

What are the key skills and qualifications needed to thrive in the TriNetX position, and why are they important?

TriNetX professionals typically possess strong analytical skills, a background in life sciences or healthcare, and experience in clinical research or data analytics. Proficiency with data visualization tools, electronic health records (EHR) systems, and familiarity with the TriNetX platform are highly valued, along with certifications in data science or clinical research. Excellent communication, problem-solving abilities, and collaboration skills help individuals excel in client-facing and cross-functional teams. These competencies are essential for leveraging real-world data to support clinical research and drive evidence-based decisions in the healthcare industry.

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Trinetx jobs near you
Infographic showing various Trinetx job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 52% Physical, 19% Hybrid, and 29% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Tiger Analytics Inc.

Boston, MA • On-site

$150 - $205/hr

Other

Re-posted 12 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities
  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long‑term transformative program and delivering continuous business value
  • Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals
Qualifications
  • 10-16 years of professional work experience with at least 9 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Solid understanding of statistical and machine learning algorithms
  • Strong knowledge of Lifescience and Pharma domain
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands‑on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexualorientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law

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