Spotfire Developer Life Sciences (Hybrid Spring House, PA)

12-Month Contract | Potential Extension
Hybrid (2 to 3 days onsite)
Location: Spring House, PA campus (1st choice) and then La Jolla, CA (2nd choice)

Start Date: ASAP (wants to hire in the next few weeks)

Overview Client s Innovative Medicine R&D organization is seeking a mid-level Spotfire Developer to support new dashboard initiatives within its scientific and research teams. This contractor will build new visual analytics solutions, integrate multiple data sources, and work closely with scientists to translate complex requirements into effective data-driven dashboards. The role requires a hybrid onsite presence and the ability to collaborate directly with lab and research personnel.

Key Responsibilities

Develop new Spotfire dashboards (not maintenance) from concept through deployment, including visualization design, data modeling, and backend logic.

Integrate Spotfire with multiple databases such as Snowflake, Postgres, and Oracle, including establishing data connections and optimizing queries.

Write and implement IronPython scripts, custom expressions, and information links to support advanced dashboard functionality.

Conduct data preparation, curation, and transformation to ensure datasets are ready for visualization and meet scientific business needs.

Partner directly with scientists and R&D stakeholders to gather requirements, understand workflows, and iterate on dashboard designs.

Work onsite to observe lab processes when needed, ensuring the developer understands the scientific context and analytics requirements.

Clearly document requirements, changes, logic, and technical decisions.

Support broader data engineering or data preparation tasks as needed for visualization projects.

Required Qualifications

3 6 years of experience as a Spotfire Developer or similar analytics visualization role.

Strong expertise in TIBCO Spotfire, including:

Dashboard design and development

IronPython scripting

Custom expressions

Information links

Proficiency in SQL and data modeling for analytics use cases.

Hands-on experience with Python (including IronPython within Spotfire).

Experience working with Snowflake (preferred), Postgres, Oracle, or similar relational databases.

Life sciences industry experience is required, with the ability to understand scientific or assay-related data and terminology.

Excellent communication skills and the ability to work directly with scientists and stakeholders in a hybrid/on-site environment.

Preferred Qualifications

Experience visualizing or working with large molecule / biologics datasets (e.g., antibody or sequence data).

Experience supporting wet-lab or R&D teams in biotech/pharma.

Familiarity with data engineering or data transformation workflows.

Strong ability to collaborate, take feedback, and present dashboards to senior scientific leadership.