Company Overview:
Strand Therapeutics is a clinical stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies.
Building on the idea of creating smart therapies that can make sophisticated decisions, Strand was started by biological engineers working together at MIT who were seeking to apply the concept to the emerging field of mRNA therapeutics. This collaboration led them to build their own mRNA “programming language,” creating the world’s first platform for mRNA smart therapies.
The founders and scientific advisors of Strand Therapeutics are made up of well-known and highly regarded individuals in both academia and the biotech industry. Our corporate headquarters is in the Fenway district of Boston, Massachusetts.
Become the next standout single strand!
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 an Intern, Software to join the Computational Biology team at Strand Therapeutics. The incoming candidate will work closely with both the computational team and experimental teams at Strand to build software tools to streamline and empower R&D. The candidate will be expected to work in an innovative, fast-paced, cross-collaborative biotech environment.
Primary Responsibilities:
- Design, build, and deploy applications for handling scientific data in collaboration with other scientists and engineers. Applications will be in drug development and integrating biological data.
- Work with stakeholders across the company to integrate data access and computation through APIs. Integrate 3rd party data sources and tools.
- Learn the complete software development lifecycle from conception and requirements gathering to implementation, deployment, and operation.
- 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:
- On track to graduate with a B.S. or M.S. in Computer Science, Computational Biology, Bioengineering, Data Science, or a related discipline
- Background in biology/chemistry is highly desired; experience in the biotechnology industry is a strong plus.
- Comfortable using programming languages, especially Python and JavaScript. Experience with web frameworks like Django or Flask for backend development and/or Vue or React for frontend development is a plus.
- Knowledge of databases (SQL). Experience with other data storage and analytics systems is a plus.
- Comfortable using Unix environments (Linux, shell scripting).
- Experience with common software tooling, including version control with git
- Strong collaboration and inter-personal skills. Ability to present software concepts to a diverse audience.
- Ability to multi-task and prioritize to meet important deadlines.
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: Intern
Salary: Commensurate with role and experience
Top Skills
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.
