The biopharma R&D pipeline is unforgiving, and OPKO Health is recruiting a Principal Investigator to anchor their computational biology division. This is a high-stakes, fully remote healthcare and scientific mandate. You aren’t just running scripts in a vacuum; you are translating massive, highly regulated genomic datasets into viable therapeutic targets. Your in silico models will directly dictate where the company invests millions in wet-lab validation and clinical trials, carrying the immense regulatory weight of FDA IND/NDA submissions.
Clinical Liability & The Dry-Lab Reality
Operating as a dry-lab Principal Investigator requires immense scientific diplomacy and rigorous data governance. You sit at the critical friction point between bioinformatics and physical clinical execution. Wet-lab scientists are inherently skeptical of computational predictions. Your mandate is to build unassailable, reproducible cloud architectures that process multi-omics data without violating strict clinical compliance or HIPAA protocols. You must mathematically defend your algorithms and convince the broader R&D apparatus that your therapeutic targets are worth the immense financial risk of preclinical investment.
Computational Execution & Regulatory Defense
- Computational Triage: Architect and defend highly scalable, cloud-based data pipelines. You must process massive NGS and transcriptomic datasets while strictly managing enterprise compute costs and clinical data privacy.
- Wet-Lab Diplomacy: Force alignment between your decentralized bioinformatics team and the on-site clinical trial directors. You must actively validate your in silico mechanisms of action to skeptical wet-lab researchers.
- Regulatory Authorship: Draft and defend the computational methodologies for FDA regulatory submissions (IND/NDA). If your algorithms lack absolute reproducibility, the regulatory body will reject the pipeline.
- Remote Lab Leadership: Manage a distributed team of data scientists, enforcing uncompromising analytical standards to prevent flawed genomic models from triggering doomed preclinical trials.
Scientific Pedigree & Pipeline Prerequisites
- The Academic Gatekeeper: A Ph.D. in Computational Biology or Genetics is an absolute requirement to possess the scientific authority necessary to direct a biopharma R&D program.
- Biopharma Scar Tissue: 5 to 7 years of post-doctoral or industry survival. You must have a documented track record of pushing multi-omics targets out of the simulation and into actual drug discovery.
- Cloud & Code Fluency: Expert-level Python and R are the baseline. You must be deeply operational within AWS or GCP, understanding how to deploy heavy compute clusters without bottlenecking the research network.
Compensation & Geographic Arbitrage
This role offers a masterclass in geographic leverage, decoupling tier-one biopharma compensation from the high cost of living in major biotech hubs.
- Base Compensation: $145,000 – $180,000 USD / Year. A strong biopharma baseline, but the true financial strategy lies in the 100% remote capability. You can anchor this Miami-pegged salary in a low-cost geography to massively increase your purchasing power.
- The Equity Upside: Access to Restricted Stock Units (RSUs) means your financial growth is directly tied to the clinical success of the therapeutic targets your algorithms identify.
- Enterprise Compute Access: OPKO provides the unrestricted high-performance computing (HPC) budgets required to run massive genomic models, removing the bottleneck of underfunded academic servers.
- Corporate Safety Net: Premium medical coverage, 401(k) matching, and structured PTO to mitigate the inevitable burnout of managing high-stakes FDA deadlines.
Deployment Logistics & Remote Architecture
- The Remote Dry-Lab Mandate
- Location: 100% Remote (US-Based). You avoid the physical friction of the wet lab, but you are strictly tethered to Eastern Standard Time (EST). You must be online and available to coordinate with the Miami headquarters and clinical teams during core operating hours.
- Relocation Posture
- Not applicable. Maintain your current residency and plug directly into the enterprise R&D cloud architecture from your home office.
