Computational antibody design
About Macromoltek: Macromoltek is an Austin-based biotechnology company dedicated to turning antibody drug discovery into drug design. We are a computational drug discovery company dedicated to the advancement of antibody drug development through strategic partnerships. We are on the cutting edge of protein science and our bioengineers make use of an in-house platform to design and build new antibodies. At Macromoltek, we thrive on an interdisciplinary and highly collaborative environment, which allows us to provide creative and innovative solutions for elusive diseases and therapeutic research.
Job Description: As a Senior Scientist on the Drug Discovery team, you will be a part of an interdisciplinary software engineer team dedicated to the continuous growth, development, and improvement of our ML and structural biology algorithms towards antibody design. You will be directly contributing to creating and implementing new intuitive algorithms to biological macromolecules, bringing the latest tools & theory, creating frameworks, running experiments, performing data analysis, and integrating new architectural designs into our design pipeline. This position reports to and is supervised by our Chief Technology Officer. Responsibilities and Duties: *Build algorithms for design and simulation of antibodies and other biological proteins *Design and optimize novel antibodies and biologics using computational modeling techniques *Model and assess protein-protein interactions using advanced computational methods *Leverage protein sequence and structural information to predict and optimize biophysical properties of biologics *Drive the testing and maintenance of the algorithms and software modules *Develop tools to assist data processing, data quality control, algorithm development, and algorithm testing *Work closely with experimental scientists to develop novel therapeutic drug candidates *Communicate results with internal team and external collaborators
**Qualifications and Skills: ** *Advanced degree in a quantitative field such as Computational Chemistry, Computational Biophysics, Physics, Computer Science, Mathematics, or equivalent work experience *Experience analyzing protein sequences and structural information with an emphasis on protein design (protein-protein docking, protein homology modeling and simulation, protein design) *Experience with modern software packages (Schrodinger, CCG, Rosetta, etc.) *Background with object oriented programming (C/Java-based languages) *Demonstrated problem solving and critical thinking ability *Confirmed ability to handle multiple projects with strict deadlines *Ability to work well in multidisciplinary teams *Capacity to prioritize and work independently, complete tasks and advance projects, with minimal supervision *Recognized for technical leadership contributions, capable of self-direction, and ability to learn from and teach others *You should display strong communication skills, be organized and self-motivated, and play well with others (be a phenomenal teammate) *Work collaboratively with biology experts to identify and drive innovative solutions *Communicate results and techniques to management *Draft, edit and review publication quality documents for scientific journals and grant submissions *Ability to use structural biology and experimental data to inform computational approaches *Experience applying molecular dynamics or machine learning to drug discovery, biochemical and biophysical assay development, or target analysis and selection
Skills not required but preferred: Familiarity with Linux, experience with multiprocessing/large computer clusters.
We would love to hear from you if: *You thrive in a collaborative environment. *You are a creative problem solver that believes in teamwork to tackle challenging scientific problems. *You take pride in being a self-motivated person and fast learner in order to meet goals under tight project timelines. *You think critically, are curious, and are motivated to explore and develop new technologies. *You are excited to apply your computational biology experience to drive therapeutic antibody development.
Macromoltek designs antibodies against difficult targets that are intractable for conventional discovery technologies. We have built proprietary algorithms that combine structural biology and machine learning, as well as a system to quickly validate these designs experimentally.