Senior Statistical Analyst

Connect Life Sciences; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Connect Life Sciences is seeking an experienced Senior Programmer with a strong oncology and HTA background to support clinical development and evidence-generation activities. You will work closely with biostatisticians, HEOR and RWE teams, and clinical development stakeholders to deliver high-quality programming across oncology programs—from Phase II/III trials through HTA and payer submissions.

You will lead programming activities, develop ADaM datasets and TLFs using SAS and/or R, and ensure

Qualifications

• 8+ years of statistical programming experience in pharma, biotech, CRO, or related life sciences environments.
• Hands-on experience with HTA submissions and/or HEOR programming deliverables.
• Extensive experience developing ADaM datasets and TLFs.
• Experience with efficacy, safety, subgroup, and time-to-event analyses.
• Experience working with global cross-functional teams on submission deliverables.

Responsibilities

• Lead and perform statistical programming activities supporting oncology clinical trials and HTA submissions.
• Develop, validate, and maintain ADaM datasets, TLFs, and other analysis deliverables using SAS and/or R.
• Support time-to-event, survival, efficacy, safety, and subgroup analyses within oncology studies.
• Collaborate with biostatisticians and HEOR scientists to translate SAPs into programming outputs.
• Ensure all programming follows CDISC standards, SOPs, and regulatory requirements.

Skills

Statistical programming

Oncology trials

HTA/HEOR

CDISC standards

ADaM datasets

SAS

R

QC & validation

Tools

SAS

R

Job description

We are seeking an experienced Senior Programmer with a strong oncology and Health Technology Assessment (HTA) background to support clinical development and evidence-generation activities. This hands‑on, technically driven role works closely with biostatisticians, HEOR and RWE teams, and clinical development stakeholders to deliver high-quality programming and analyses across oncology programs — from Phase II/III clinical trials through HTA and payer submissions.

Key responsibilities

• Lead and perform statistical programming activities supporting oncology clinical trials and HTA submissions
• Develop, validate, and maintain ADaM datasets, TLFs, and other analysis deliverables using SAS and/or R
• Support time‑to‑event, survival, efficacy, safety, and subgroup analyses within oncology studies
• Work with biostatisticians and HEOR scientists to translate statistical analysis plans into high‑quality programming specifications and outputs
• Ensure all programming follows CDISC standards, applicable SOPs, and regulatory requirements

HTA & HEOR support

• Support analyses required for HTA submissions including evidence packages for payer and reimbursement bodies
• Contribute to comparative effectiveness analyses, indirect treatment comparisons (ITCs), and network meta‑analysis (NMA) deliverables
• Support responses to questions from regulatory agencies and HTA bodies

QC, validation & documentation

• Perform independent programming validation and QC of statistical outputs
• Review programming specifications, analysis plans, shells, and validation documentation
• Ensure deliverables meet submission‑quality standards across clinical and health economics programs

Collaboration & leadership

• Provide technical guidance and mentorship to other statistical programmers
• Collaborate with global cross‑functional teams to ensure timely delivery of high‑quality analyses

Required qualifications

Experience

• 8+ years of statistical programming experience in pharma, biotech, CRO, or related life sciences environments
• Strong experience supporting oncology clinical trials, preferably across Phase II/III programs
• Hands‑on experience with HTA submissions and/or HEOR programming deliverables
• Extensive experience developing ADaM datasets and TLFs
• Experience with efficacy, safety, subgroup, and time‑to‑event analyses
• Experience working with global cross‑functional teams on submission deliverables

Technical skills

• Advanced programming experience in SAS and/or R
• Strong knowledge of CDISC standards including SDTM and ADaM
• Strong understanding of clinical trial data, statistical methodology, and programming QC standards
• Excellent communication, organizational, and problem‑solving skills