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Redbock - an NES Fircroft company
Biostatistician / Data Scientist - Medical Analytics & Exploratory Data SciencesRedbock - an NES Fircroft company • New York, NY, United States
Biostatistician / Data Scientist - Medical Analytics & Exploratory Data Sciences

Biostatistician / Data Scientist - Medical Analytics & Exploratory Data Sciences

Redbock - an NES Fircroft company • New York, NY, United States
13 days ago
Job type
  • Full-time
Job description

Biostatistician / Data Scientist – Medical Analytics & Exploratory Data Sciences (Contract) Location: Remote, US Overview: We are seeking a Biostatistician or Data Scientist to join our client’s Medical Analytics & Exploratory Data Sciences team. This group supports exploratory analyses including publications, reimbursement strategy, and European regulatory submissions, with a focus on patient‑reported outcomes (PRO) and real‑world evidence (RWE). This role is ideal for candidates with either strong clinical trial SAS programming experience or advanced data science expertise applied within the life sciences industry. Key Responsibilities: Conduct exploratory analyses to support publications, reimbursement, and regulatory filings (EU submissions) Work with clinical trial data, PRO, and RWE datasets Collaborate with cross‑functional teams across clinical, regulatory, and medical affairs Contribute to study design, analysis plans, and interpretation of results Effectively communicate findings to both technical and non‑technical stakeholders Manage multiple projects and timelines in a dynamic environment Required Qualifications: Biostatistics --MS or PhD in Biostatistics, Statistics, or related field Strong SAS programming skills with clinical trial data Experience working with patient‑level clinical datasets Understanding of regulatory and submission‑driven analyses Prior pharma/biotech or CRO experience Strong project management and organizational skills and knowledge of clinical trial data Data Science –Advanced degree in a quantitative field (Statistics, Data Science, etc.) Expertise in machine learning and causal inference Proficiency in R programming (preferred) Industry experience in pharma/biotech strongly preferred Ability to translate complex analyses into actionable insights *Must also have experience with: Familiarity with real‑world evidence (RWE) methodologies #J-18808-Ljbffr

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Biostatistician / Data Scientist - Medical Analytics & Exploratory Data Sciences • New York, NY, United States

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