Careers

Secure AI Labs is a Boston-based start-up utilizing proprietary technology to disrupt how healthcare research is conducted. Sound interesting? We’re looking for talent in all locations – explore our open roles and benefits for our team members below.

Secure Access to Clinically Actionable Datasets

We’re on a mission to advance medical collaboration by creating a revolutionary Unified Patient Registry for patient advocacy groups, hospitals, and pharmaceutical companies. Our goal is to help create the best solutions for patient health through our Federated Analytics-backed network.

Unique Opportunities

Secure AI Labs is made up of a diverse team of professionals located in the United States, Canada, India, Scotland, and the Netherlands. Join our work on innovative technology aiming to improve healthcare research and secure collaboration across networks.

Collaborative, Fast-Paced Culture

We’re moving swiftly to advance bioinformatics research to support the mission of better healthcare for all.

Our desire to promote better collaboration across teams is driven by our investment in our employees. Great teams create great work, and we do our best to make sure that Secure AI Labs is a supportive, interesting, and fun place to work.

Open Positions

Software Engineer In Test

Apply for this role

Secure AI Labs is a rapidly growing, global AI software company with a healthcare focus. Secure AI Labs is filled with curious and passionate people who hope to make a difference to the health of millions of people globally. Your enthusiasm, coupled with Secure AI Labs’ advanced technologies and collaboration with hospitals, patient advocacy groups and innovative pharmaceutical, biotech and healthcare companies, will launch federated learning healthcare research into the future.

Secure AI Labs enables unprecedented security and scale permissioning and tracking sensitive data in healthcare. Our federated learning software allows data scientists to train predictive models and glean insights, while maintaining the privacy of the data as well as intellectual property of the analysis & code. Because data is never transferred, analysis can be conducted while data owners maintain complete ownership of the data using hardware-backed security deployed easily via Azure, AWS, Google Cloud, etc. The company is founded by researchers and professors from MIT and headquartered in Cambridge, MA.

 

Roles and Responsibilities

  • Create test plans for upcoming features by analyzing product requirements
  • Run test plans for upcoming features to completion
  • Formally communicate test results with Engineering team
  • Write detailed bug reports when issues are discovered
  • Implement test automation, including generation of automated tests using test tools, frameworks, and methodologies
  • Apply critical thinking to ensure tests cover failure and success paths; reiterate tests, such as regression testing, as needed to cover additional paths
  • Proactive and independently identify areas for manual inputs in testing protocols and execute them as needed
  • Additional duties regarding creating and executing testing plans as required

 

Required Experience

  • Knowledge of and experience working with: Python, C++, C#
  • Comfortable using Unix and Windows-based operating systems to perform day-to-day operations
  • Strong communication skills, including the ability to give candid and respectful feedback
  • Strong skills in collaboration, time management, and attention to detail
  • Experience writing automated scripts in a professional setting

 

Preferred Experience

  • Background with products whose priorities include Security
  • Experience creating and running Docker containers
  • Working with directly with customers, internal or external
  • Experience working with Jenkins, Pytest, Selenium
  • Experience working in an Agile environment

 

Security Responsibilities

Job applicants and employees should understand the following:

  • Applicants and employees must implement and act in accordance with Secure AI Labs’ information security policies and processes;
  • Applicants and employees must execute particular job-related security processes or activities defined;
  • Applicants and employees are responsible for individual actions and maintaining a secure working environment.

All employees have certain basic responsibilities for the protection of resources:

  • Ensuring that all assets are protected from unauthorized access, disclosure, modification, destruction, or interference;
  • Ensuring that all devices connected to Company or client information comply with the Mobile Device policy;
  • Engaging in appropriate use of electronic information resources under Secure AI Labs’ policies and the law;
  • Promptly reporting security-related incidents and violations and responding to official reports of security incidents involving their systems or accounts.
  • Please note that all employees are subject to and must clear a background check prior to the completion of the hiring process.

 

Benefits

Medical, Dental, and Vision insurance

Free membership to OneMedical

Flexible spending accounts for Healthcare

Remote Work Environment

Unlimited paid time off

Equity grants for all full-time employees

Limited tuition reimbursement for continued learning

Fun, professional environment with great coworkers

Company activities, like social meet-ups, lunch and learns, and more!

 

Salary Range

$75,000 – $85,000 + Equity + Bonus

 

Do you feel enthusiastic about joining an early-stage startup trying to revolutionize medical research? Are you energized by the opportunity to work in a collaborative culture with the opportunity for growth? If you want your work to have a huge impact, apply for this role.

Secure AI Labs (SAIL) is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Machine Learning Ops Architect

Apply for this role

Secure AI Labs is a rapidly growing, global AI software company with a healthcare focus. Secure AI Labs is filled with curious and passionate people who hope to make a difference to the health of millions of people globally. Your enthusiasm, coupled with Secure AI Labs’ advanced technologies and collaboration with hospitals, patient advocacy groups and innovative pharmaceutical, biotech and healthcare companies, will launch federated learning healthcare research into the future. 

Secure AI Labs scales secure permissioning and tracking of data in healthcare. Our federated learning software allows data scientists to train predictive models and glean insights, while maintaining the privacy of the data as well as intellectual property of the analysis & code. Because data is never transferred, analysis can be conducted while data owners maintain complete ownership of the data using hardware-backed security deployed easily via Azure, AWS, Google Cloud, etc. The company is founded by researchers and professors from MIT and headquartered in Cambridge, MA. 

 

Roles and Responsibilities 

  • Design a distributed numerical compute platform for performing federated and secure Statistics, Machine Learning, and Deep Learning tasks 
  • Design APIs for managing compute graphs that can be easily consumed by internal and external users 
  • Advise Engineering management on proposed solutions and their associated risks 
  • Produce easy to understand design documents for technical audiences 
  • Work closely with Product Owner to scope out and design functionality  
  • Communicate work progress, blocking issues, and estimates to Engineering management  
  • Attend Agile meetings, work to properly scope up 3-week sprints  
  • Demo work progress at regular intervals  

 

Required Experience 

  • 8-10 years of professional software development experience 
  • Proven experience of designing an ML Ops platform 
  • Strong experience with Python3 
  • Strong experience with Docker 
  • Experience with Microsoft Azure or other cloud environments 
  • Understanding of ML algorithms 

Preferred Experience 

  • Experience with Kubernetes 
  • Experience using Big Data tools such as: Apache Spark and/or Hadoop 
  • Experience with PHI or PII 
  • Experience working in a small start-up environment  

 

Security Responsibilities 

Job applicants and employees should understand the following:  

  • Applicants and employees must implement and act in accordance with Secure AI Labs’ information security policies and processes;   
  • Applicants and employees must execute particular job-related security processes or activities defined; 
  • Applicants and employees are responsible for individual actions and maintaining a secure working environment. 

All employees have certain basic responsibilities for the protection of resources: 

  • Ensuring that all assets are protected from unauthorized access, disclosure, modification, destruction, or interference;  
  • Ensuring that all devices connected to Company or client information comply with the Mobile Device policy; 
  • Engaging in appropriate use of electronic information resources under Secure AI Labs’ policies and the law; 
  • Promptly reporting security-related incidents and violations and responding to official reports of security incidents involving their systems or accounts.  
  • Please note all candidates must successfully complete a background check prior to completing the recruitment process. 

 

Benefits 

Medical, Dental, and Vision insurance

Free membership to OneMedical

Flexible spending accounts for Healthcare

Remote Work Environment

Unlimited paid time off

Equity grants for all full-time employees

Limited tuition reimbursement for continued learning

Fun, professional environment with great coworkers

Company activities, like social meet-ups, lunch and learns, and more!

 

Salary Range 

$120,000 – $140,000 + Equity

 

Do you feel enthusiastic about joining an early-stage startup trying to revolutionize medical research? Are you energized by the opportunity to work in a collaborative culture with the opportunity for growth? If you want your work to have a huge impact, apply for this role. 

Secure AI Labs (SAIL) is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.  

Software Engineer - Web Lead

Apply for this role

Secure AI Labs is a rapidly growing, global AI software company with a healthcare focus. Secure AI Labs is filled with curious and passionate people who hope to make a difference to the health of millions of people globally. Your enthusiasm, coupled with Secure AI Labs’ advanced technologies and collaboration with hospitals, patient advocacy groups and innovative pharmaceutical, biotech and healthcare companies, will launch federated learning healthcare research into the future.

Secure AI Labs enables unprecedented security and scale permissioning and tracking sensitive data in healthcare. Our federated learning software allows data scientists to train predictive models and glean insights, while maintaining the privacy of the data as well as intellectual property of the analysis & code. Because data is never transferred, analysis can be conducted while data owners maintain complete ownership of the data using hardware-backed security deployed easily via Azure, AWS, Google Cloud, etc. The company is founded by researchers and professors from MIT and headquartered in Cambridge, MA.

 

Roles and Responsibilities

  • Design, write, and maintain deployment of a secure web application with a React front-end and Node.js Express backend communicating with one or more REST API services
  • Work with Product Owner to scope out and design functionality
  • Communicate work progress, blocking issues, and estimates to Engineering management
  • Attend Agile meetings, work to properly scope 3-week sprints
  • Make technological recommendations for web application development
  • Demo work progress at regular intervals
  • Maintain a usable application for short-notice demos

 

Required Experience

  • Completed Post-Secondary education in Computer Science or related field
  • 3+ years of software engineering experience
  • Strong experience with React
  • Experience with Node.js Express
  • Experience with JavaScript
  • Experience with SCSS
  • Knowledge of REST API services
  • Working knowledge of Docker

 

Preferred Experience

  • Knowledge of OWASP Top 10
  • Experience hardening web application security
  • Knowledge of running security analysis tools against a web application
  • Knowledge of Microsoft Azure
  • Experience with Typescript
  • Experience with React Query

 

Security Responsibilities

Job applicants and employees should understand the following:

  • Applicants and employees must implement and act in accordance with Secure AI Labs’ information security policies and processes;
  • Applicants and employees must execute particular job-related security processes or activities defined;
  • Applicants and employees are responsible for individual actions and maintaining a secure working environment.

All employees have certain basic responsibilities for the protection of resources:

  • Ensuring that all assets are protected from unauthorized access, disclosure, modification, destruction, or interference;
  • Ensuring that all devices connected to Company or client information comply with the Mobile Device policy;
  • Engaging in appropriate use of electronic information resources under Secure AI Labs’ policies and the law;
  • Promptly reporting security-related incidents and violations and responding to official reports of security incidents involving their systems or accounts.
  • Please note that all employees are subject to and must clear a background check prior to the completion of the hiring process.

 

Benefits

Medical, Dental, and Vision insurance

Free membership to OneMedical

Flexible spending accounts for Healthcare

Remote Work Environment

Unlimited paid time off

Equity grants for all full-time employees

Limited tuition reimbursement for continued learning

Fun, professional environment with great coworkers

Company activities, like social meet-ups, lunch and learns, and more!

 

Salary Range

$80,000 – $100,000 USD

 

Do you feel enthusiastic about joining an early-stage startup trying to revolutionize medical research? Are you energized by the opportunity to work in a collaborative culture with the opportunity for growth? If you want your work to have a huge impact, apply for this role. 

Secure AI Labs (SAIL) is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, age, protected veteran status, status as an individual with a disability, or any other legally protected status. All employment is decided on the basis of qualifications, merit, and business need.

To apply for these roles, please use the form below.

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Employee Benefits + Perks

As a Secure AI Labs employee, you receive great benefits along with a supportive and collaborative work environment. Taking care of our employees is key to our company’s success, so on top of medical, vision, and dental insurance, we provide short term and long term disability coverage, paid family leave, and life insurance, as well as additional benefits and perks.

Benefits

We strive to ensure our employees
are happy and healthy.

Medical, Dental, and Vision insurance
Flexible spending accounts for Healthcare
Unlimited paid time off
Equity grants for all full-time employees

Perks

Remote work options are
just the tip of the iceberg.

Limited tuition reimbursement for continued learning
Free membership to OneMedical
In-person all-team meetings multiple times a year
Free membership to HealthAdvocate
Company-sponsored team events

Greater breadth powers more depth

With our Unified Patient Registry, discover results you can be confident in. This is especially critical for rare conditions, minority populations, and personalized medicine breakthroughs.