About Us:

Modicus Prime’s mission is to improve the quality of pharmaceutical drug manufacturing and save patient lives by leveraging the power of AI and advanced analytics. Our AI platform solves for the cost, legal, and waste liabilities from product quality failures across pharmaceutical R&D and manufacturing. Modicus Prime is venture-backed by Austin-based Silverton Partners along with strategic partnerships with many large corporations including Takeda Pharmaceuticals, Oak Ridge National Laboratory (DOE), eLabNext (Eppendorf), Dotmatics, and PlugandPlay. Modicus Prime was most recently featured in the Wall Street Journal on July 18th, 2024, following our latest investment announcement.

We are now seeking a talented and experienced Full Stack Engineer to join our core team. If you are eager to make an impact in the pharma industry and enjoy rapidly scaling products and teams, consider applying to join our team.

Position Overview and Key Responsibilities:

Work closely with our team to build new features and maintain existing ones for the company’s platform and suite of products. Our products are cloud-based applications that automate various AI/ML services and support our customers in implementing AI/ML in a GxP environment. You will be responsible for the end-to-end implementation of business ideas into software features, including designing scalable solutions, developing and deploying those features.

You will collaborate with cross-functional team members, data scientists, and DevOps engineers, to ensure high-quality deliverables that meet business objectives and customer needs. This role requires a proactive approach to problem-solving, attention to detail and software development guidelines, and a passion for innovation in the AI/ML domain to enable its usage in high impact industries. Shaped by the nature of the environment where our software is used, our development team prioritizes best practices in automation to streamline day-to-day workflows and maximize efficiency.

This role is U.S.-based, and visa sponsorship cannot be accommodated at this time.

Basic Qualifications:

At least 8 years of experience building end-to-end applications using Python, JavaScript, HTML, and CSS.
Expert knowledge in at least one popular Python backend framework (e.g., Flask, Django, Tornado) and one JavaScript frontend framework (e.g., ReactJS, VueJS).
Intuitive understanding of software development design patterns and best practices.
Good understanding of relational databases and query optimization techniques. Experience working with ORMs (Object-Relational Mappers) and understanding their underlying mechanisms to improve the overall performance of data querying.
Proven experience designing and building RESTful APIs aligned with industry best practices.
Deep understanding of cybersecurity measures, including the design of robust authentication mechanisms, secure encryption handling, and the implementation of measures to safeguard sensitive data.
Solid understanding of Linux-based operating systems.
Experience deploying applications to the cloud using CI/CD pipelines and tools.
Strong understanding of software testing approaches, including automated UI/UX tests, backend unit tests, and functional tests.
Hands-on experience with containerization technologies such as Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
Experience with software optimization techniques to minimize latency. Deep understanding of profiling and optimizing system components to ensure scalability, reliability, and high performance under heavy load conditions.
Ability to debug software effectively, identify and resolve complex issues, and ensure the stability and performance of applications across various environments.

Additional Preferred Qualifications:

Experience deploying applications that integrate software built with popular AI/ML frameworks, such as PyTorch or TensorFlow.
Knowledge of how to scale GPU-based cloud infrastructure in a cost-effective and reliable manner.
Basic understanding of AI/ML model implementation, their applications, and their suitability for different tasks.
Understanding of MLOps practices, including CI/CD pipelines for machine learning models.
Familiarity with data versioning tools (e.g., DVC) and model monitoring in production.
Familiarity with visualization tools for AI/ML results, such as Plotly, Dash, or Streamlit.

Additional Information:

1. Location: Austin preferred

2. Job Type: Full-time

3. Pay (with equity): $130k - $150k depending on skills and/or qualifications

What We Offer:

Enjoy the benefits of a flexible work schedule within a remote working environment, while also having the opportunity to connect with your colleagues through regular in-person meetings in Austin, including team luncheons.
The chance to work on groundbreaking projects that are transforming the pharmaceutical industry.
A supportive and collaborative team culture, with ample opportunities for professional growth and development, including conference speaking opportunities.

Equal Opportunity Employer Statement:

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

To Apply:

Please submit your CV and any relevant portfolio or project examples to info@modicusprime.com. We look forward to hearing from you and exploring how your ambitions and expertise can help shape the future of Modicus Prime and the pharmaceutical industry at large.

Modicus Prime

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