- Responsible for preparation of study documents, reports, and presentations (e.g., abstracts, manuscripts, scientific posters) to summarize research findings.
- Ensure quality and consistency of analytics deliverables from the Real-World Data (RWD) team.
- Supervise and provide relevant training to members of the RWD team.
- Develop statistical analysis plans for research studies using industry standard statistical tools, ensuring scientific rigor, and serve as the analytical methodology expert for RWE EMR analyses.
- Serve as point of contact and represent the CMO in collaborations with industry partners.
- Review research data to summarize population demographics, identify trends within and across studies and extrapolate other statistical inferences to align with overall business objectives.
- Establish best practices for data management and review published works to produce world-class research methods and scientific reporting.
- Maintain working knowledge of recent best practices of statistical techniques and federal and state regulations.
- Facilitate the Data Science Committee and serve as liaison with clinical co-chairs.
- Serve as Principal Investigator for real world data and industry sponsored projects.
- PhD in statistics, biostatistics, epidemiology, biology, or social sciences with at least 2 years of relevant healthcare experience.
- Highly skilled in advanced statistics programs such as R or Python for data manipulation and statistical analysis.
- Experience in dealing with extraction and manipulation of relational databases (SQL).
- Experience in advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis and data mining.
- Experience of analyzing large data sets to develop custom models and algorithms to drive solutions.
- Highly skilled in clinical and/or socio-behavioral data analysis models, such as multiple regressions, logistic regressions, survival analysis, generalized linear modeling, and other common hypothesis testing models.
- Experience with advanced modeling, such as predictive models, multivariate models, and data mining.
- Experience with longitudinal data and/or clinical data is highly desirable.
- Experience building and managing large data sets from multiple sources to build algorithms for predicting future data characteristics.
- Proficient in summarizing results and conclusions for scientific presentations/manuscripts with the ability to translate and present complex analyses into key points for presentation for a variety of audiences.
- Experience handling confidential information and familiarity with privacy/HIPAA requirements.
- Knowledge of the Institutional Review Board (IRB) process and documentation.
- Excellent problem solving, and communications skills; ability to communicate effectively with all levels of employees, donors, researchers, physicians, corporate leaders community leaders and other professionals.
- Detail-oriented with a commitment to accurate results; works with passion, integrity, and energy.
- Must have the ability to thrive in a fast-paced setting, working in a cross-functional environment serving diverse populations.
- Exceptional organization and time management skills with the ability to work independently as a part of a team.
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Associate Director, Real World Data - Canton, United States - T1D Exchange
Description
T1D Exchange is an innovative nonprofit company dedicated to improving care and accelerating therapies for people affected by type 1 diabetes (T1D). We have developed a new patient-centered model that accelerates progress, connects key stakeholders, and links patient insight to all stages of research, development, and delivery of T1D solutions. T1D Exchange is a proven leader in advancing drugs and devices to market more efficiently and facilitates interactions between patients, clinicians, researchers, and industry.
Summary:
The Associate Director, Real World Evidence will supervise the Real-World Data team. The candidate will design and implement statistical analyses for quantitative, qualitative, survey, and interventional research, as well as to help establish best practices for data analytic strategies and population health projects.
As a member of the T1D Exchange Quality Improvement and Population Health Team, you will join an innovative team of experts using big data and predictive analytics to advance diabetes care. In addition to impacting the lives of people living with diabetes, you will benefit from national impact of your work, mentorship, and numerous publication opportunities.
This position is remote within the US, with occasional travel to our Boston office.
Primary Responsibilities:
Qualifications:
The annual salary range for this position $120,000 to $130,000; as part of a total benefits package which includes health insurance, medical, dental, vision, 401k with a safe harbor match. Individual pay decisions are ultimately based on a few factors, including but not limited to qualifications for the role, experience level, skillset, and internal equity.
T1D Exchange will actively strive to create a diverse, equitable and inclusive workplace where all individuals are treated with respect and dignity, and individual differences are leveraged to drive results. The organization provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, marital or veteran status in accordance with applicable federal, state, and local laws.
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