Full Stack Developer, AI Applications (Contract)

Position Summary

Build the AI software that changes how a clinical stage biopharma company plans and runs its trials.

Our client is a well funded, clinical stage biopharmaceutical company advancing a portfolio of medicines for serious diseases. Its clinical development organization is building its own AI enabled applications on AWS to turn slow, manual clinical operations work into software. The first solutions are live and in use, and a long roadmap of new ones is funded and ready to be built.

This is a hands on engineering engagement, not a strategy, architecture, or management role. You will take assigned solutions from requirements to working product: the data pipelines behind them, the LLM powered logic at their core, the APIs, and the screens clinical teams use every day. Python is the primary language. You will integrate and orchestrate existing AI models, not train new ones, and you are encouraged to use modern AI coding tools to move quickly. Success in this engagement comes down to three things: understanding healthcare data, working independently, and shipping.

*This is a 12 month contract engagement to start, at 40 hours per week, with potential for extension.

Responsibilities

This list represents the major duties of the engagement and is not all inclusive. The contractor may be asked to perform related duties beyond those described here.

Application Development

Design, build, test, and release features across the full stack, including Python services, APIs, data layers, and the workflows and dashboards used by clinical development teams.

Own assigned solutions end to end, turning a business problem and a set of source data into a working, maintainable product with minimal day to day direction.

Extend live solutions with new modules in areas such as study budgeting, site identification, and feasibility, and stand up new solutions as the roadmap advances.

Use AI assisted development tools to increase speed while holding a high bar for code quality.

Data Integration and Pipelines

Build and maintain pipelines that pull together documents and datasets, such as study protocols, schedules of assessments, contracts, public trial registries, licensed trial intelligence data, and claims or real world data.

Normalize, validate, and reconcile data from inside and outside the company so every output can be traced back to where it came from.

Build automated checks that catch bad data before it reaches users.

Applied AI and LLM Engineering

Implement LLM powered workflows, including document extraction, retrieval augmented generation, structured generation, and ranking or scoring logic.

Integrate foundation models through cloud AI services, and build the evaluation steps and guardrails needed to keep outputs accurate and dependable.

Recommend the right tools for each solution, weighing accuracy, cost, and compliance.

Engineering Quality, Cloud, and Compliance

Deploy and run solutions on AWS using CI/CD, containers, and infrastructure as code.

Write code other engineers can pick up: tested, reviewed, documented, and under version control.

Build to the standards of a regulated environment, including 21 CFR Part 11, HIPAA, and GDPR, and keep a clear record of where data came from and how it was changed.

Requirements

The requirements below are representative of the knowledge, skills, and abilities needed to perform this engagement successfully.

Required

• 7 or more years of professional software engineering experience, with deep, current, hands on Python in production.
• Experience building and shipping LLM powered applications to real users, such as retrieval augmented generation, document extraction, or agent based workflows.
• Hands on experience building software on healthcare or life sciences data, such as clinical trial, claims, or real world data.
• Full stack range: APIs, SQL and data modeling, data pipelines, and enough front end skill to deliver a usable interface.
• Experience deploying and running applications on AWS.
• Working knowledge of CI/CD, Docker, and Git based workflows.
• Proven ability to take a loosely defined problem and deliver a finished solution independently.

Preferred

• Experience with clinical operations data, such as trial registries, trial intelligence databases, site and investigator data, study budgets, or clinical trial agreements.
• Background at a pharmaceutical, biotech, CRO, clinical technology, or health data company.
• Experience building in regulated environments (21 CFR Part 11, HIPAA, GDPR) and familiarity with clinical data standards (FHIR, HL7, CDISC).
• Experience with cloud data platforms such as Databricks, Snowflake, or Redshift.
• Daily use of AI coding assistants in a professional setting.

Nice to Have

• Advanced degree in computer science, informatics, statistics, or a related technical field.
• AWS certification.
• Kubernetes and infrastructure as code tooling such as Terraform.
• Working knowledge of R.

Compensation: Hourly Pay Range: $100.00 – $130.00 per hour

The hourly rate offered will be commensurate with experience, skills, qualifications, and other relevant factors.

Location: Fully remote within the United States.

Benefits Overview: For contractors engaged through Summit Strategic Search, eligibility for benefits is determined by the specific terms of the contract and may include:

• Medical, Dental, and Vision insurance options.

• Paid Sick Leave (consistent with applicable state law).

• Paid Time Off (PTO) and/or holiday pay.

About the Search: This search is being managed by Summit Strategic Search on behalf of our client. This is a contract-based assignment where we the recruitment and employment administration. While you will be engaged through our firm, the end client retains final authority over the selection of personnel for their project team. All offers of engagement are contingent upon the end client's approval, project requirements, and successful completion of the onboarding process.

Equal Opportunity Commitment: We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Accommodations & Support: We are committed to providing reasonable accommodations for qualified individuals with disabilities during the application and interview process. If you require assistance, please contact us at

admin@summitstrategicsearch.com

. We maintain a zero-tolerance policy for harassment and provide all contractors with dedicated reporting channels to ensure a safe, professional work environment.

Onboarding Requirements: Due to the regulated nature of our client's industry and the requirement for on-site presence in [Location of Job] , all candidates must successfully complete the end client's onboarding protocols. This typically includes a background check, drug screening, and adherence to site-specific security and health policies.