Similar Jobs
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, Systems Biology to join the Computational Biology team at Strand Therapeutics. The incoming candidate will work closely with drug pipeline program and platform teams to analyze data from a variety of sources, including bioanalytical, flow cytometry, and next gen sequencing, and use results therefrom to inform drug development. The candidate will be expected to work in an innovative, fast-paced, cross-collaborative biotech environment.
Primary Responsibilities:
- Build mechanistic or statistical/ML models of biological systems behavior, incorporate data, and make predictions of drug behavior.
- Work with in vitro assay, in vivo pharmacology and toxicity, and human clinical trial data to build models to predict safety and efficacy of drug candidates.
- Develop and refine data analysis pipelines for bioanalytical, flow cytometry, next gen sequencing, and/or other data sets.
- Engage with cross-functional project teams to support data-driven modeling of biological systems.
Qualifications:
- On track to graduate with a B.S., M.S., or PhD in Computational Biology, Biological Engineering, Chemical Engineering, Computer Science, Data Science, Statistics, or a related discipline. Experience in the biotechnology space is a plus.
- Familiarity with modeling biological systems using differential equations. PK/PD or systems biology experience is a plus.
- Proficiency in programming languages (Python, R) and Unix environments (Linux, Git, shell scripting).
- Experience with data analysis in Python or another programming language is a plus.
- 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 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
Strand Therapeutics Cambridge, Massachusetts, USA Office
One Kendall Square, Binney St, Cambridge, MA, United States, 02139
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
