Company Overview:
Strand Therapeutics is a clinical stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies to patients.
Building on the idea of creating smart therapies based on Boolean logic circuits, Strand was started by biological engineers working together at MIT who were seeking to apply the concept of the emerging field of mRNA therapeutics. Strand's technology is therapeutic-area and mRNA modality agnostic where therapeutic proteins are encoded onto modified, self-replicating, or circular mRNA backbones which in turn are programmed with cell-specific sensors and circuits.
Today, Strand has established multiple programmable mRNA platforms with one clinical stage asset and several programs in preclinical development as well as early discovery. Our lead program, STX-001, is currently being evaluated in a Phase 1 clinical trial for solid tumors. Our corporate headquarters is located in the Fenway district of Boston, Massachusetts.
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Job Summary:
Strand is looking for people who have the enthusiasm and motivation to be a highly contributing member of a small but extremely productive team. This opportunity will offer the employee the ability to work in a matrix-based environment and be a part of the future strategy of the company.
We are looking for a highly motivated and enthusiastic candidate for the role of Senior Engineer of Full Stack Software. Reporting to the Director of Computational Biology, the Senior Engineer of Full Stack Software will build software and solve problems in Strand’s computational biology and data handling efforts on the early drug discovery, preclinical, and clinical fronts. The right candidate will be a strategic thinker that brings enthusiasm and a leadership presence to Strand along with a desire to conquer new challenges.
Primary Responsibilities:
- Build, validate, deploy, and operate computational tools for analyzing and optimizing mRNA therapeutics in collaboration with other scientists and engineers.
- Build primarily internal facing tools supporting diverse computational biology and data handling efforts such as large-scale next generation sequencing analysis; clinical data warehousing and pipelines; data capture, storage, and analysis for diverse scientific workflows; and machine learning model training and deployment.
- Build full stack web applications from database to API to GUI.
- Build gen-AI applications for workflow streamlining, integrate internal data stores
- Work with stakeholders across the company to integrate data access and computation through APIs. Integrate 3rd party data sources and tools.
- Manage the complete software development lifecycle from conception and requirements gathering to implementation, deployment, and operation.
- Contribute to architecture and implement cloud computational infrastructure.
- Mentor team members in software development tools, best practices, and problem solving.
- Engage with cross-functional project teams and external collaborators to support project planning and execution, provide expert advice, and drive adoption of software-based solutions.
Qualifications:
- B.S. or M.S. in Computer Science, Electrical Engineering, Data Science, Bioengineering, or a related field, and 3+ years of experience.
- Experience in biology-related fields highly preferred; Experience working in a smaller, fast paced environment highly preferred.
- Expertise in programming languages, especially Python, and their ecosystems in web development and data analysis; Familiarity with a variety of programming languages and paradigms.
- Expertise in front-end programming with JavaScript, HTML, and CSS; Experience with front-end frameworks like React or Vue.
- Expertise in databases and storage technologies; SQL.
- Comfortable using Unix environments (Linux, shell scripting).
- Experience with common software tooling, including version control with git and deployment automation with Docker, Ansible, CloudFormation, or similar; Experience with automated testing.
- Experience with cloud computing (AWS) is a requirement; Experience with high performance or scientific computing is a nice-to-have.
- Strong collaboration and inter-personal skills.
- Ability to engage with the diverse stakeholders on any software project is a must.
- Ability to multi-task and prioritize to meet important deadlines.
Strand offers a fast-paced, entrepreneurial, team-focused small company environment. We also offer a top-notch benefits package (health, dental, life, open PTO, onsite lunch catering, commuter support and more) and work/life flexibility and integration. Being part of the Strand team allows you to become part of a small team that supports professional development while working together to meet Strand’s goals.
Strand Therapeutics is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law. Strand does not accept unsolicited resumes from any source other than directly from candidates.
Job Type: Full-time
Salary: Commensurate with role and experience
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What We Do
Strand was started by biological engineers working together at MIT. Building on the idea of creating smart therapies that are capable of making sophisticated decisions, they sought to apply the concept of the emerging field of mRNA therapeutics. This area was untapped by traditional synthetic biology, which led them to build their own mRNA “programming language,” creating the world’s first platform for mRNA smart therapies.
Strand’s mRNA programming technology promises to make mRNA therapies safer and more effective by programming the location, timing, and intensity of therapeutic protein expression inside a patient’s body using mRNA-encoded logic circuits. These circuits can implement cell-type specific expression by sensing and classifying the unique miRNA expression signatures of cells, as well as controlling the dosage of protein expression by responding to exogenously administered small molecules.








