Technical Project Manager

Technical Project Manager

Assist workstream leads in developing detailed technical delivery plans, resource planning, outlining duties of team members, identifying project goals, and setting project timelines.

Monitor workstream progress to ensure that workstreams meet program objectives, incorporate stakeholder contributions (e.g., use case and feedback tracking), and develop technical solutions according to plan.

Ensure that technical artifacts (source code, test plans, architecture documentation, progress toward addressing use cases, etc.) are updated in an appropriate and timely manner.

Monitor and provide guidance on adhering to consistent software development life cycle (SDLC) processes.

Coordinate with external vendors, as required, to assist in the evaluation and/or integration of external technology solutions.

Work closely with Program and Technical leads to define and evolve program data governance, including operational guidelines & procedures.

Guide and assist workstreams in providing end user support for workstream deliverables.

Guide and assist workstreams in testing workstream deliverables according to test plans.

Minimum of 5 years' experience leading technical product deliveries in the biotechnology or pharmaceutical industry and minimum of a bachelor's degree in a Biologic, Physical and/or Computer Science discipline.

High degree of familiarity with current software engineering methodologies, source code control, project management, and issue tracking best practices.

Proven experience as a Technical Project Manager in a scientific research environment.

Demonstrated experience leading technical teams in the delivery of scientific data discovery, retrieval, analysis, and/or visualization projects.

Strong project management skills with a track record of delivering complex projects on time and within budget.

Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.

Preference for technical experience in querying and visualizing scientific data using solutions such as R/Python Shiny, Streamlit, and/or web applications developed using React, Vue.js, etc. and/or software development proficiency with at least one programming language like Python, R, Java, etc.

Preference for hands-on experience with developing and deploying cloud-based solutions in AWS and/or Azure.

Preference for experience with LLM development and agent frameworks, and models.