Intern, Computational Biology

Strand Therapeutics • Boston, MA

5d • $30 - $33

About The Position

Strand is looking for people who have the enthusiasm and motivation to be a highly contributing member of a team with significant impact on Strand’s cell engineering programs. This opportunity will offer the employee the ability to work in a cross-functional environment and be a part of the future strategy of the company.
We are looking for an Intern, Computational Biology to join the Computational Biology team at Strand Therapeutics. The incoming candidate will incorporate data, including from next-generation sequencing (NGS), flow cytometry, imaging, and bioanalytical assays, into existing mathematical models of therapeutically relevant genetic circuits. The candidate will be expected to work in an innovative, fast-paced, cross-collaborative biotech environment.

Requirements

• On track to graduate with a Ph.D. or M.S. in Computational Biology, Biological Engineering, Synthetic Biology, Chemical Engineering, Statistics, or a related discipline; or a B.S. with multiple years of relevant industry experience. Experience in the biotechnology space is a plus.
• Familiarity with modeling biological systems; familiarity with mammalian regulatory biology and genetic circuit design is a plus.
• Proficiency in programming languages (Python) as well as modern software development techniques and Unix systems (Git, Linux, shell scripting, etc.). Familiarity with high-performance computing (HPC) and cloud computing (AWS) 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

Responsibilities

• Incorporate NGS data as well as data from other sources into existing mechanistic and statistical/ML models of therapeutically relevant genetic circuits.
• Refine mathematical models to better predict genetic circuit behavior in different contexts.
• Engage with cross-functional project teams to support data-driven modeling of biological systems.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree