Support the ongoing development and operations of the pharmacovigilance function, including case management, safety reporting, reconciliation, and oversight of activities performed by Rhythm’s global safety vendor.
Compensation
The expected salary range for this position is $72,000 - $108,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units.
Responsibilities
Support oversight and review of global safety vendor activities, including case processing, safety data reconciliation and aggregate report management.
Support intake, triage, processing, follow-up, quality review, and reconciliation of Individual Case Safety Reports (ICSRs).
Monitor regulatory reporting timelines and support timely submission of expedited safety reports.
Perform quality review of safety cases, including SAEs and SUSARs, to ensure completeness, accuracy, and appropriate case narratives.
Perform safety data reconciliation activities to ensure complete and accurate capture of adverse event data from clinical trials, product quality/complaints, business partners, and affiliates.
Requirements
Bachelor’s degree in nursing, pharmacy, life sciences, or other related discipline
Postdoctoral fellow in bioinformatics and cancer biology at MUSC
Responsibilities
Analyze and interpret complex molecular datasets to identify clinically actionable changes
Advance the integration of multi-omics and clinical datasets to uncover mechanisms of tumor evolution, therapeutic resistance, and potential biomarkers
Assess molecular biomarkers for inclusion in controlled clinical trials
Collaborate with leading scientists to develop innovative workflows and pipelines for high-dimensional data analysis
Work with the PI to develop a career development plan and participate in various career advancement opportunities
Requirements
Doctoral degree in bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design, translating complex drug‑discovery challenges into AI opportunities and partnering with cross‑functional teams to develop and evaluate AI methods for protein structure prediction and generative molecular design.
Responsibilities
Lead scientific innovation in AI-enabled biologics, antibody discovery, protein engineering, and protein design
Translate complex drug‑discovery challenges into well‑defined AI opportunities with clear hypotheses, evaluation methods, and success criteria
Develop and evaluate rigorous AI methods for protein structure prediction, biological foundation models, and generative molecular design
Assess emerging AI models, datasets, and technologies for scientific maturity, differentiation, limitations, and drug‑discovery value
Lead cross‑functional proof‑of‑concept studies connecting computational performance with experimental validation and meaningful scientific outcomes
Requirements
Doctoral degree in machine learning, computational biology, bioinformatics, structural biology, protein engineering, or a related discipline
Lead statistical design and analysis for real-world evidence studies using large healthcare datasets to support regulatory submissions, reimbursement, and safety signals.
Responsibilities
Lead statistical design and analysis for real-world evidence studies using large healthcare datasets.
Translate stakeholder questions into study protocols and statistical analysis plans that address bias and limitations.
Manage study execution, including timelines, budgets, quality control.
Develop and review analytic code ensuring reproducibility and quality using programming tools as R or SAS.
Communicate results clearly to internal teams and external audiences, supporting publications and dossiers.
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