Full Stack Software Engineer

San Francisco, CA

Pivotal Life Sciences

PLS envisions becoming the life sciences investment industry's best tech-enabled investment platform. The AI team aims to provide best-in-class intelligence support across all steps of the investment process, from deal sourcing to exit.

View company page

Pivotal Life Sciences – Full Stack Software Engineer 


If WHO you work for & with and WHY your company exists is at the top of your list of criteria for choosing your next opportunity, we encourage you to take a look at the roles we are hiring for at Pivotal Life Sciences (PLS) and join our growing team of data scientists/engineers working together toward a common goal—the health and care of the patient. We’re looking for people to not only join us—but to be a big part of the solution. To do more and be more. To do well and do good. If you have the ability to see the bigger picture and bring it to life, let's connect! 


Pivotal Life Sciences background 

Pivotal Life Sciences (“PLS”), a part of the Nan Fung Group, is a global investment platform focusing on the life sciences. Leveraging on Nan Fung Group’s strong capital base and long-term commitment to the space, the company aims to become the ideal partner for scientists, entrepreneurs, corporations and investors in the life science space. Through direct investments via Pivotal bioVenture Partners funds (both in US and China) and fund investments covering the full spectrum of the industry (including therapeutics, medical devices and diagnostics) and across different development stages, Nan Fung Life Sciences has significant presence in both US and Greater China. Learn more at www.nanfunglifesciences.com

Location: San Francisco, CA, USA  


The Vision 

PLS envisions becoming the life sciences investment industry's best tech-enabled investment platform. The AI team aims to provide best-in-class intelligence support across all steps of the investment process, from deal sourcing to exit. The system will function as an additional team member and help augment the investment team to make better investments and build better companies for unmet therapeutic needs. Ultimately, PLS will become a scientifically driven investor across the life science ecosystem from academic spinouts to venture rounds and ultimately to exit. Come be part of our vision! 

The role 

As a PLS Software Engineer, you will be a member of our new global AI and data intelligence team.  This team’s goal is to build state of the art data and AI technology with strong research fundamentals for our life sciences investment arm. Utilizing your expertise in software engineering, you will build technical and scientific products and tools that provide intelligence and predictions from varied and growing datasets.  This is a great opportunity to work on a range of AI powered projects in a growing team with exposure to the best life science companies today. 



  • Work closely with the Investment and Research teams to deeply understand the requirements and translate those to powerful front-end applications for our investment team 
  • Develop applications on cloud-based services, with a special emphasis on user friendly and visually compelling interfaces  
  • Develop front end applications for AI models and other types of analytics using multiple data sets, utilizing leading edge technologies and frameworks 
  • Work closely with data scientists, computational biologists, and subject matter experts to understand and translate business requirements into technical solutions 
  • Be a technical expert to help internal customers & teams to consume standard cloud and UI services, and be a core member of the team and key contributor and subject matter expert 
  • Participate and assist in setting the long-term direction, roadmaps and standards for technical solutions, ensuring they align to the overall enterprise architecture 
  • Participate in technology evaluation and reengineering teams to support strategy-definition and continuous process improvement activities 
  • Help implement the technology direction, vision, and strategy to enable technology and applications adoption 
  • Manage the complete software development process from conception to deployment 
  • Manage the end-to-end life cycle for the production of software and applications 
  • Overseeing and guiding the analyzing, writing, building, and deployment of software  
  • Overseeing automated testing and providing feedback to management during the development process  


  • Bachelor’s Degree in computer science or similar 
  • 5+ years of relevant Full Stack Engineering experience 
  • Front-end technology: Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries such as React Js, Angular, jQuery and LESS 
  • Development languages: Knowledge of server-side programming languages including Net, Java, Ruby and Python 
  • Database and cache: Familiarity with DBMS technology, including SQLServer, Oracle, MongoDB and MySQL and caching mechanisms such as Redis, Memcached and Varnish 
  • Basic design ability: Including knowledge of UI/UX and basic prototype design 
  • Server: Experience working with Nginx or Apache servers with a solid background in Linux 
  • Experience with Amazon Web Services (AWS) 
  • Able to work with an international team with demonstrated ability to implement new ideas in a research environment and to drive projects collaboratively 
  • Excellent communication and presentation skills 
  • Fluency in English 
  • US Work Visa 
  • Hybrid work schedule: Able to be in San Francisco office, in-person at least 3 days per week, option to work from home 2 days per week 
  • Salary Range $130-$155k plus annual target bonus
Apply now Apply later
  • Share this job via
  • or

Tags: Angular Architecture AWS Computer Science Engineering JavaScript Linux MongoDB MySQL Oracle Python React Research Ruby Testing UX

Perks/benefits: Salary bonus Team events

Region: North America
Country: United States
Job stats:  329  42  1
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.