Intern, Data Analytics and Machine LearningStrand 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 to build a team that understands the value of working at a start-up. Joining the company now means having vast opportunities to learn and grow including having the exposure to all aspects of building a company. We are looking for people who have the enthusiasm and motivation to be a highly contributing member of a small team. This opportunity will offer the employee the ability to work closely with the founding team, as well as to form close partnerships with team members during the development and formation of the company.
We are looking for an Intern, Data Analytics and Machine Learning to join the Computational Biology team at Strand Therapeutics. The incoming candidate will work closely with the drug discovery and platform teams to design experiments and analyze data from a variety of sources, including next gen sequencing, flow cytometry, and imaging. The candidate will be expected to work in an innovative, fast-paced, cross-collaborative biotech environment.
Primary Responsibilities:
Design, build, validate, and deploy software tools for optimizing mRNA therapeutics.Design, implement, and apply machine learning, including deep neural net, models to RNA sequence representation, prediction, and design tasks.Work independently to drive their own project while engaging with cross-functional project teams to support data-driven biological modeling using statistics and machine learning.Qualifications:
On track to graduate with a B.S. or M.S. in Computer Science, Data Science, Statistics, Computational Biology, Bioengineering, or a related discipline; Experience in the biotechnology space is a plus.Proficiency in programming languages (Python, R), version control (git), databases (SQL or NoSQL), and Unix environments (Linux, shell scripting).Experience with deep neural net libraries (PyTorch, Tensorflow) is a plus.Experience with large, high-dimensional biological or healthcare datasets.Strong collaboration and inter-personal skills. Ability to present data science and computational concepts to a diverse audience.Ability to multi-task and prioritize to meet important deadlinesStrand 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.
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