Senior Quantitative Scientist – Commercial-Facing

Jobtailor; Arizona; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking an experienced quantitative scientist to join the team in the United States. You will act as a hands-on contributor on the Quantitative Sciences team, applying biostatistical and epidemiological methods to design analyses using observational data for robust conclusions.

You will lead client-facing scientific discussions with cross-functional teams to align study objectives with stakeholder needs.

Qualifications

• Master’s or doctorate in a quantitative discipline or equivalent practical experience.
• 5+ years with messy data (e.g., EHR, outcomes data).
• 5+ years with life science/pharma/biotech clients; analytics services.
• Experience designing and executing research studies in life sciences.
• Strong familiarity with SQL, Python, R.
• Familiarity with ICD, CPT, RxNorm coding systems.
• Knowledge of pharma industry processes and clinical trials.

Responsibilities

• Serve as hands-on contributor on Quantitative Sciences team.
• Design analyses using observational data for robust conclusions.
• Lead customer calls as primary client-facing scientific authority.
• Align study objectives with stakeholder needs.
• Collaborate with HEOR, medical affairs, and commercial teams.
• Conduct retrospective studies using real-world data (EHR/claims).
• Create statistical analysis plans and implement analyses.
• Develop algorithms to support research objectives.
• Write publications.
• Translate clinical questions into data analytics requirements.
• Report to Data & Science department.

Skills

Biostatistics

Epidemiology

Health Data Analytics

SQL

Python

R

Cross-Functional

Communication

Project Management

Clinical Data Familiarity

Education

Master’s Degree

Doctorate Degree

Tools

Electronic Health Records

Health Economics

Analytical Methodologies

Job description

• Serve as a hands-on individual contributor on the Quantitative Sciences team


• Apply biostatistical and/or epidemiological technical approaches and understand their assumptions


• Design analyses using observational data to ensure robust conclusions


• Lead customer calls as the primary client-facing scientific authority


• Align study objectives with key stakeholder needs


• Work directly with teams embedded in life science organizations, including HEOR, medical affairs, and commercial teams


• Conduct commercial retrospective clinical studies using EHR and claims real-world data


• Create statistical analysis plans and implement analyses


• Develop algorithms supporting research objectives


• Write publications


• Collaborate with Commercial/Sales, Product, Medical, Engineering/Technology, and other cross-functional teams


• Translate clinical investigation questions into detailed data analytics requirements for internal and external projects


• Report into the Data & Science department

Requirements

• Master’s or doctorate in a quantitative discipline (e.g., biostatistics, epidemiology, health economics, etc.) or equivalent practical experience


• 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies


• 5+ years working with life science/pharmaceutical/biotechnology organizations and familiarity with providing analytic services to these groups


• Experience designing and executing research studies for life sciences


• Strong familiarity with health data analytics tools, especially SQL, Python, R


• Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm


• Familiarity with pharmaceutical industry strategy and business processes, including clinical trials, new drug introduction, and clinical operations


• Ability to work effectively with cross-functional teams


• Clear communication skills and ability to deliver internal/external presentations


• Ability to prioritize and manage multiple projects with high attention to detail


• Candidates must be legally authorized to work in the United States


• Applicants must be authorized to work for any employer in the U.S.; visa sponsorship and OPT/STEM extension support are unavailable

Core Competencies

Demonstrates expertise in biostatistics and epidemiology, with a strong ability to design and execute research studies in life sciences. Proficient in health data analytics, including SQL, Python, and R, while effectively collaborating with cross-functional teams to deliver impactful insights.

Highest-signal resume keywords

• Biostatistics


• Epidemiology


• Health Data Analytics


• SQL


• Python

Hard Skills

• Statistical Analysis Plans


• Data Analysis


• Research Study Design


• Algorithm Development


• Clinical Data Familiarity

Soft Skills

• Clear Communication


• Project Management


• Cross-Functional Collaboration

Certifications & Qualifications

• Master’s Degree


• Doctorate Degree

Industry Keywords

• Life Sciences


• Pharmaceutical


• Biotechnology


• Clinical Trials


• Real-World Data

Tools & Technologies

• Electronic Health Records


• Health Economics


• Analytical Methodologies