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Quantitative Scientist
Clinical Research
Posted on 1/5/2023
New York, NY, USA
Experience Level
Desired Skills
Data Analysis
  • You hold a Ph.D. degree or Master's degree in a quantitative discipline such as biostatistics, epidemiology, applied statistics, health economics, outcomes research, or a related discipline
  • You have at least 2 years experience working in life sciences companies, healthcare consultancy, health technology, or clinical research organization within academia or private sector
  • You have experience in analyzing real world data (such as longitudinal EMR, registres, claims, genomics data), interpreting results from real world evidence studies, generating real world data insights and learnings from it
  • You have experience in writing protocols or statistical analysis plans, and developing biomedical communications (such as manuscripts, abstracts, posters, executive summaries etc.)
  • You have good coding skills, ideally in R
  • You have the ability to juggle multiple external interactions and deadlines simultaneously and the adaptability to collaborate with individuals at all levels and functions
  • You have experience in designing and leading real world evidence generation studies in oncology using a variety of RWD sources (such as longitudinal EMR, registres, claims, genomics data)
  • You have experience in real world evidence use cases across drug development life cycle and an understanding of how real world evidence can meet the needs of our life sciences customers
  • You have experience in client interactions
  • Work with a multifunctional team to inform clinical trial design and prospective real-world studies
  • Be a thought partner for the internal key stakeholders; provide strategic, methodologic and technical leadership across ongoing and upcoming projects; understand business context to provide informed feedback
  • Provide analytic support for:
  • Project scoping, including protocol/statement of work review/writing, conduct data analyses to provide insights into trial design, e.g. eligible patient count, disposition in terms of race, ethnicity, site selection, and enrollment projection
  • Study conduct, including executing periodic data quality checks, data deliveries, or pressure tests to ensure trial assumptions and timelines
  • Data analyses, including authoring statistical analysis plans, study reports, or ad hoc analysis supporting publications and business needs
  • Study closeout activities, including study data deliveries, study conduct documentation, and inspection readiness
  • Contribute to CR BU-led research projects and work initiatives, conduct the data analyses (e.g., coding in R), and support publication writing
  • Contribute to operational efficiency initiatives through documentation and writing reusable and efficient code
Flatiron Health

1,001-5,000 employees

Improving healthcare by learning from the experience of cancer patients
Company Overview
Flatiron seeks to identify and solve problems that drive work that moves the needle for customers and patients. In short, they seek to learn and improve cancer research from each patient.
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave (16 weeks for either parent)
  • Transition back to work program following parental leave
  • Child and caregiver travel benefits for new parents
  • Backup child care
  • Weekly meditation sessions
  • Flatiron-sponsored fitness classes
  • Weekly massages and manicures available onsite (employee funded)
Company Core Values
  • Solve problems that matter
  • Be kind
  • Start with why
  • Think yes before no
  • Focus on your customer
  • Seek feedback at 30%
  • Be willing to sit on the floor
  • Know when to startup and when to scale
  • Learn, teach and grow
  • Do the right thing