Biostatistician / Data Scientist – Medical Analytics & Exploratory Data Sciences

Redbock - an NES Fircroft company; United States; Remote; USD 100,000 - 130,000; Part time

Job summary

A leading analytics firm is seeking a talented Biostatistician or Data Scientist to support exploratory analyses for publications and regulatory submissions. This position requires strong SAS programming skills and an advanced degree in a relevant field. Ideal candidates will have expertise in both biostatistics and data science, with a focus on real-world evidence. Join a dynamic team collaborating across clinical, regulatory, and medical projects while impacting the life sciences industry.

Qualifications

• Biostatistics -- MS or PhD in Biostatistics, Statistics, or related field.
• Strong SAS programming skills with clinical trial data.
• Industry experience in pharma/biotech strongly preferred.

Responsibilities

• Conduct exploratory analyses to support publications, reimbursement, and regulatory filings.
• Collaborate with cross‑functional teams across clinical, regulatory, and medical affairs.
• Effectively communicate findings to both technical and non‑technical stakeholders.

Skills

SAS programming

Machine learning

Causal inference

Project management

Communication skills

Education

MS or PhD in Biostatistics, Statistics, or related field

Advanced degree in a quantitative field

Tools

R programming

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