About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

About the Role

Biorce is building the AI infrastructure that will define how clinical trials are designed, monitored, and trusted. We are looking for a Head of Data who has spent the better part of their career at the intersection of advanced AI/ML and clinical trial operations — someone who doesn't just understand data pipelines, but understands why clean, governed, and scientifically rigorous clinical data is foundational to patient safety and drug approval.

Reporting to the VP of Digital, you will own the full data function: platform, pipelines, ML infrastructure, governance, and the teams that build it all. This is a leadership role with real technical depth — we want someone who can still get into the weeds with engineers while setting the strategic direction for how one of the world's largest clinical trial datasets gets turned into actionable intelligence.

Who We're Looking For

A rare hybrid: a data leader with a hard science foundation, hands-on ML and data engineering experience at production scale, and deep domain expertise in clinical trial data — from protocol design through submission. Someone who has moved from building models to building teams and systems, without losing their scientific edge.

This person has likely spent 8–12 years building AI/ML and data systems in pharma, CRO, or healthtech environments, holds advanced degrees in a quantitative or life sciences discipline, and has a publication or innovation record that signals genuine intellectual depth.

Key Responsibilities

• Own and evolve Biorce's end-to-end data strategy: architecture, governance, quality, and the roadmap that powers Aika.
• Lead and scale a high-performing data engineering and data science team across Austin and European hubs.
• Drive production ML systems for clinical trial intelligence — anomaly detection, site risk scoring, patient safety signals, data fabrication detection, and predictive enrollment modeling.
• Establish and enforce data standards aligned with CDISC (SDTM, ADaM), OMOP, FHIR, and GxP/21 CFR Part 11 requirements.
• Partner with Clinical Science, Regulatory Affairs, Product, and Engineering to translate trial design and submission requirements into scalable data solutions.
• Build the data governance, lineage, and audit trail infrastructure required for regulatory submissions and inspections.
• Lead data-related conversations with pharma sponsors, CROs, regulators, and partners.
• Mentor and develop a team of senior data scientists and engineers, establishing a culture of scientific rigor and engineering excellence.

✅ Must-Haves

• 8–12 years of experience in data science, ML engineering, or data platform roles, with 3+ years in a leadership position.
• Deep domain expertise in clinical trial data — EDC, eCOA, RBQM, safety reporting, or submission-ready datasets.
• Proven track record building and deploying production ML systems in pharma or clinical research settings (anomaly detection, NLP, predictive modeling, statistical signal detection).
• Strong hands-on background in Python, SQL, and modern data infrastructure (dbt, Airflow, Spark, cloud data platforms).
• Demonstrated experience operating under GxP, HIPAA, and GDPR compliance frameworks, including audit trail and data integrity requirements.
• Experience hiring, developing, and retaining senior technical talent.
• Advanced degree (MS or PhD) in Data Science, Statistics, Computational Biology, Mathematics, or a related quantitative field.

✨ Nice-to-Haves

• Published research in clinical data science, pharmacovigilance, AI for drug discovery, or computational medicine.
• Hands-on experience with CDISC standards (SDTM, ADaM), OMOP CDM, or FHIR data models.
• Background in Risk-Based Quality Management (RBQM) or Central Statistical Monitoring (CSM) for clinical trials.
• Experience with MLOps, feature stores, or model governance in regulated environments.
• Prior experience scaling data teams across U.S. and European hubs.
• Exposure to regulatory submissions (IND, NDA, BLA) and the data requirements they entail.

Why Join Us?

• A dynamic work environment with an international team, where collaboration and diversity thrive.
• Work alongside top talent, united by a shared purpose and committed to making a real impact.
• Comprehensive private health coverage to ensure your physical and mental well-being.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Company events to celebrate achievements and enjoy time together.
• Get equipped with a MacBook to enhance your productivity and work experience.
• Our office is pet-friendly! You’ll likely be greeted by a few wagging tails upon arrival.

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By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.