Senior Biostatistician, Health Economics and Outcomes Research
Job Locations
US-Remote
Req No.
2020-6832
Category
Research & Development
Type
Regular Full-Time
Summary of Major Responsibilities
Exact Sciences is seeking an experienced individual with demonstrated statistical and computational skills in support of statistical analyses and simulation models for oncology screening and diagnostic products. The individual will coordinate and collaborate with internal and external stakeholders in Health Economics and Outcomes Research (HEOR) and Medical Affairs in the design, analysis, reporting, and publication of clinical research and real-world evidence to communicate the value of Exact Sciences’ products to healthcare providers, payers, and policy makers. The ideal candidate will have experiences in molecular diagnostics in oncology, be able to apply statistical methods to diverse sources of data, and provide statistical leadership using model-based scientific, and business insights across all phases of product development.
Essential Duties and Responsibilities
Perform statistical activities, and simulation modeling in support of clinical research, and real-world evidence generation; including, but is not limited to, protocol and analysis plan development, statistical modeling and data analysis, data visualizations, and preparation of study reports, abstracts, posters, and manuscripts. These activities may be undertaken under the supervision of a more senior member of the clinical statistics group.
Apply statistical methods and model calibration techniques to diverse sources of data; including, but not limited to, clinical trials, retrospective and prospective observational studies, large database analyses, registries, and literature.
Perform literature review, compile, and present the information, and develop specific experiments to model the cancer natural history.
Visualize data and analysis results in varying formats.
Consult to cross-functional teams in the development of study databases, data analysis pipelines, and data quality specifications, as needed.
Support analysis of clinical laboratory experience data and associated publications, as needed.
Work on problems of diverse scope in which analysis of data may require the application of complex statistical methodologies to model the disease natural history.
Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
Perform routine work independently, and with general instructions on new assignments; draft deliverables may be reviewed by a more senior member of the statistics function and/or HEOR function before being shared with other functions.
Strong verbal and written communication and presentation skills.
Effective communicator with ability to maintain open communication with team members, managers, and customers.
Ability to integrate and apply feedback in a professional manner.
Ability to prioritize and drive to results with a high emphasis on quality.
Ability to work as part of a team.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.
Regular and reliable attendance.
Ability to lift up to 10 pounds for approximately 5% of a typical working day.
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
Ability to travel up to 10% of working time away from work location, may include overnight/weekend travel.
Qualifications
Minimum Qualifications
Ph.D. in Statistics/Biostatistics, Applied Mathematics, Epidemiology, or other quantitative science; or Master’s degree in Statistics/Biostatistics, Applied Mathematics, Epidemiology, or other quantitative science and 2 years of relevant experience in lieu of Ph.D.
5+ years of relevant work experience in industry or academia; including effective programming skills using R, Python, or SAS, and experience in publishing results from clinical or epidemiologic studies.
Demonstrated working knowledge of theoretical and applied statistics.
Proficient in Microsoft Office.
Demonstrated ability to perform the Essential Duties of the position with or without accommodation.
Authorization to work in the United States without sponsorship.
Preferred Qualifications
Advanced knowledge of epidemiologic methods, oncology, and genomics.
Advanced knowledge of microsimulation modeling techniques and model calibrations such as used in the Cancer Intervention and Surveillance Modeling Network (CISNET).
Experience with clinical trials and post-marketing research.
Advanced knowledge of Python and C++ programming.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state or federal law. Applicable portions of the Company’s affirmative action program are available to any applicant or employee for inspection upon request.
