Full Stack Software Engineer - Healthcare

Princeton Biopartners
Leeds
3 months ago
Applications closed

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Job Title:Full Stack Software Engineer - Healthcare


Industry:Biotechnology Research


Location:UK (Remote)


Princeton Biopartners is a best-in-class provider of integrated consulting solutions to the life sciences sector. Our mission is to improve the evidence base, accessibility, and dissemination of biomedical innovations through strategic advisory, software, and our venture fund. We pride ourselves on establishing long-term client relationships and are dedicated to addressing pain points via integrated and transformative projects. We are looking for a highly motivated and talented Full Stack Software Engineer to become our first full-time technology hire. 


As a Software Engineer, you will be critical in bridging the gap between strategy and implementation. You'll be integral in project execution that combines our strategic insights with tech-forward solutions, ensuring clients receive end-to-end products. You will be expected to bring intellectual curiosity, analytical rigor, creativity, and strategic thinking to every engagement.This is a cross-functional role, with high growth potential - the ideal candidate will be highly driven and relish the chance to wear multiple hats (Engineering, Product, Data).

 

Must Haves:

  • UK based:role is remote, but only open to candidates localized within the UK
  • STEM degree:from a top research-intensive university, preferably in London or Oxbridge
  • Engineering mindset:obsessed with building robust software aligned with best practices
  • Comfortable client facing:as needed to gather requirements and feedback
  • Product-minded:high degree of ownership and deeply invested in the user experience
  • Highly curious:comfortable working through ambiguity with analytical rigor
  • Independent:self-starter, growth mindset, comfortable with limited supervision
  • Efficient:value pragmatism over idealism (efficiently arrive at 80-20 solutions)
  • Structured:thinker, problem solver, and communicator 


Key Responsibilities:

  • Design, develop, and maintain Web, Front End, and Data Visualization applications
  • Produce performant, well tested code that scales gracefully with more features, users, and data
  • Assist with deploying and embedding software products into consulting solutions
  • Understand the trade-offs between different engineering solutions
  • Write and maintain clear, concise documentation 


Technical Expertise: 

  • Previous experience in software engineering, preferably within the Life Sciences Sector
  • Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design
  • Mastery of modern web technologies & Javascript is essential: React, CSS, Node, Angular, etc.
  • Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc.
  • Familiar with modern DevOps / CloudOps best practices - test driven development, CI/CD, etc.  
  • Desirable: prior experience with Azure and NoSQL
  • Desirable: experience and interest in machine learning, data engineering, and data visualization

 

Cultural Fit:

  • Represent the firm in a professional manner and uphold its values and culture in all interactions
  • Entrepreneurial spirit & strong work ethic, demonstrating a drive to pursue new growth opportunities and lead strategic initiatives
  • Ensure confidentiality, honesty, transparency, and integrity in all business dealings while fostering a positive working environment of knowledge sharing, effective collaboration, and mutual support


Benefits:

  • Competitive compensation commensurate with experience
  • Unlimited annual leave 
  • Up to 15% performance-based bonus
  • Flexible working conditions and international travel
  • Budget for co-working space 
  • Professional development programs


We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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