Clinical Data Specialist

Biorce; Austin (TX); Hybrid; USD 70,000 - 110,000; Full time

Benefits offered by this job

Private health coverage

Gym membership

Hybrid work model

MacBook provided

Snacks

Job summary

Biorce in Austin, TX is seeking a Clinical Data Specialist to convert unstructured clinical notes, protocols, and medical records into high-quality structured training sets powering the Aika platform.

You will label diverse clinical datasets, support AI training, apply MedDRA/SNOMED coding, and ensure data quality for regulatory-grade outputs, with hybrid work and private health coverage.

Qualifications

• Bachelor’s degree in Life Sciences, Nursing, Pharmacy, or Health Informatics.
• 2+ years in clinical data management (CDM) or clinical research with data cleaning or medical coding.
• Experience with data labeling tools or NLP concepts in a medical context.
• Deep familiarity with clinical trial phases, protocol design, and regulatory requirements (FDA/EMA).
• An obsessive eye for detail – a mislabeled data point can impact model validity.

Responsibilities

• Dataset Annotation: Lead high-fidelity labeling of clinical datasets (trial protocols, CRFs, literature).
• AI Training Support: Collaborate with AI/Engineering to refine ML models with human-in-the-loop input.
• Standardization: Apply MedDRA, WHODrug, SNOMED CT for interoperability and regulatory compliance.
• Quality Control: Audit annotated data to maintain ground-truth accuracy for regulatory-grade outputs.
• Protocol Intelligence: Extract endpoints, criteria, and biomarkers from documents to boost AI performance.

Skills

Dataset annotation

NLP in medical context

Regulatory compliance understanding

Attention to detail

Education

Bachelor’s degree in Life Sciences, Nursing, Pharmacy, or Health Informatics

Tools

MedDRA coding

WHODrug

SNOMED CT

Job description

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

We are looking for a Clinical Data Specialist who specializes in clinical dataset annotation. In this role, you won't just be managing data; you will be teaching our AI how to read and understand clinical research. You will transform unstructured clinical notes, protocols, and medical records into high‑quality, structured training sets that power our Aika platform.

Key responsibilities

• Dataset Annotation: Lead the high‑fidelity labeling and annotation of diverse clinical datasets, including trial protocols, Case Report Forms (CRFs), and medical literature.
• AI Training Support: Work closely with the AI and Engineering teams to provide the “human‑in‑the‑loop” expertise required to refine machine learning models.
• Standardization: Apply clinical coding standards (such as MedDRA, WHODrug, or SNOMED CT) to ensure data interoperability and regulatory compliance.
• Quality Control: Conduct rigorous audits of annotated data to maintain the “ground truth” accuracy essential for regulatory‑grade AI outputs.
• Protocol Intelligence: Extract key entities (inclusion/exclusion criteria, endpoints, and biomarkers) from unstructured documents to enhance the platform’s predictive capabilities.

Requirements

• Education: Bachelor’s degree in Life Sciences, Nursing, Pharmacy, or Health Informatics.
• Experience: 2+ years in clinical data management (CDM) or clinical research, with a specific focus on data cleaning or medical coding.
• Annotation Expertise: Proven experience with data labeling tools or a strong understanding of NLP (Natural Language Processing) concepts in a medical context.
• Clinical Knowledge: Deep familiarity with clinical trial phases, protocol design, and regulatory requirements (FDA/EMA).
• Precision: An obsessive eye for detail – you understand that a single mislabeled data point can impact the validity of a clinical model.

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.
• Company‑sponsored gym membership to support your fitness goals.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Coffee, tea, beverages, and snacks to keep you fuelled throughout the day.
• Company events to celebrate achievements and enjoy time together.
• Get equipped with a MacBook to enhance your productivity and work experience.

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.