Senior Analysis Developer

Calyx

$110K — $130K *
US-AnywhereRemote in United States
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of relevant experience in image analysis and development.
  • Bachelor's Degree in engineering, mathematics, physics, chemistry, biology, or equivalent experience.
  • Strong knowledge of image science and modalities, including CT, MR, PET, and SPECT.
  • Advanced scripting and programming skills in Python, VQS, or similar languages.
  • Demonstrated experience in quality control and workflow improvement for image analysis processes.
  • Exceptional interpersonal and communication skills for liaising with diverse teams.

Responsibilities

  • Support image analysis quality control across multiple studies.
  • Integrate research and industry trends into practices for tools development.
  • Identify and implement workflow improvements for efficiency.
  • Collaborate with scientists and analysts to define and refine requirements.
  • Communicate technical concepts clearly to stakeholders across technical levels.
  • Supervise and train team members on image analysis workflows and tools.
  • Oversee testing and development of new or modified analysis tools.

Benefits

  • Opportunities for professional development and skills training.
  • Engagement in innovative projects that contribute to intellectual property.
  • Chance to publish and present research at industry conferences.
  • Collaborative working environment with cross-functional teams.
  • Supportive culture for career growth and technical leadership.
Full Job Description
About the role

As Senior Analysis Developer, you will be a member of the Image Analysis (IA) team who will work with both the developer team and IA experts to improve and develop workflows as needed. In this role, you will be expected to work from within the IA team to understand the needs for new or improved tools and to help guide and direct members of the team as tools are developed. To maintain a direct understanding of the tools' requirements, this role will also work as an analysis lead, overseeing all steps of analysis for imaging studies. Someone in this role may support a variety of different areas of the IA team.

Key Responsibilities

Strategic and Organizational leadership
  • Provides support for image analysis and ensures quality control across studies.
  • Follows research and industry trends and integrates them into organizational practices.
  • Identifies development opportunities to improve analysis workflows and efficiencies.


Cross functional collaborations
  • Partners with scientists, and analysts, to define requirements.
  • Communicates complex technical concepts to technical and non-technical stakeholders.
  • Understands what typical workflows are used for and can explains to other team members to facilitate use, modification, and training.
  • Provides updates to the wider IA team and other departments on workflow changes and solicits feedback on future improvements.


Technical leadership & Mentorship
  • Modifies and maintains scripts for IA workflows (these may be VQS, python, etc.).
  • Creates new scripts for IA workflows with some guidance from senior members.
  • Tests new tools and/or modified tools for IA workflows (this may include validation testing).
  • Oversees and monitors development and testing of tools by other team members.
  • Supports training and team level documentation.
  • May manage a small number of more junior analysis developers as direct reports, where required.


Innovation & Research application
  • Identifies opportunities to improve existing systems with new techniques.
  • Contributes to the company's intellectual property through innovative solutions.
  • Publishes and presents work at conferences.


Other
  • Carries out any other reasonable duties as requested.


Functional Competencies (Technical knowledge/Skills)
  • Possesses advanced scripting and programming knowledge (python, vivoscript, and similar).
  • Possesses advanced understanding of core systems.
  • Possesses advanced understanding of image analysis workflows, image science, and modalities (e.g. CT, MR, PET, SPECT,).
  • Demonstrates strong numerical/statistical background including image processing.
  • Demonstrates strong source code management skills with git.
  • Demonstrates strong programming skills in languages such as Python and/or C++.
  • Demonstrable ability to challenge work (such as identifying and adding new custom features with improved timelines).
  • Excellent interpersonal, verbal and written communication skills.
  • A flexible attitude with respect to work assignments and new learning.
  • Displays strong time management skills and ability.
  • A self-starter and able to work under own initiative whilst being able to work and communicate effectively in a team environment.
  • Ability to plan own work to meet given objectives and processes.
  • Ability to handle production support work.
  • Ability to manage multiple and varied tasks and prioritize workload with attention to detail.
  • Shows initiative and self-confidence, is adaptable and able to manage changing and evolving priorities.
  • Ability to work methodically in a fast-paced, time-sensitive environment.
  • Demonstratable ability to apply critical thinking to problems and tasks.
  • Proactively participates in skills improvement training.
  • Strong problem-solving skills and analytical thinking ability.
  • Leadership potential with strong attention to detail, and passion for innovation.
  • Maintains an up-to-date awareness of trends, tools, technology, techniques and processes that affect technology within the Life sciences domain.


Experience, Education, and Certifications
  • Solid professional experience in the same or very similar role.
  • Significant demonstrable experience and expertise of working in Image Analysis systems.
  • Demonstrable experience in roles requiring strong organizational skills.
  • Solid proven experience of working in and knowledge of medical imaging or clinical research/development in the life sciences industry.
  • Bachelor's Degree in a relevant field (e.g. engineering, mathematics, physics, chemistry or biology) or a related study, or equivalent academic or industry project-related experience.
  • English: Fluent.

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