Senior Clinical Scientist, Immunology & Data Strategy

Avalo Therapeutics; Chesterbrook (PA); On-site; USD 120,000 - 180,000; Full time

Job summary

Avalo Therapeutics is a clinical stage biotechnology company focused on IL-1β pathway therapies for immune‑mediated inflammatory diseases. The Senior Clinical Scientist will lead clinical data review and cross-functional collaboration to support Phase II/III programs and regulatory submissions.

The role involves proactive data interpretation, trend identification, and communication of results to drive timely, high‑quality decisions across multiple departments including Clinical Operations, Data

Qualifications

• Advanced degree in life sciences, clinical research or related field.
• 6+ years in clinical development, clinical science, data management or related functions.
• Experience performing ongoing clinical data review in late phase studies.
• Experience with Phase II/III clinical trials and cross-functional collaboration.

Responsibilities

• Lead clinical data review activities to ensure data quality, integrity, and inspection readiness.
• Interpret efficacy, safety, PK/PD data to support decision-making.
• Collaborate with Clinical Operations, Data Management, Biometrics, Pharmacovigilance, Regulatory Affairs, and Medical Writing.
• Author and review protocols, CSRs, Investigator Brochures, regulatory submissions, abstracts, publications, and presentations.
• Support inspection and audit readiness activities.

Skills

Clinical data review

Cross-functional collaboration

Data analysis

Regulatory submissions

Biometrics

Education

Advanced degree (PharmD/PhD/MS/MPH)

Bachelor’s degree with significant relevant experience

Tools

EDC systems

Job description

Avalo Therapeutics is a clinical stage biotechnology company focused on IL-1β pathway therapies for immune‑mediated inflammatory diseases. The Senior Clinical Scientist will lead clinical data review and cross-functional collaboration to support Phase II/III programs and regulatory submissions.

The role involves proactive data interpretation, trend identification, and communication of results to drive timely, high‑quality decisions across multiple departments including Clinical Operations, Data